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<title>Archives of Internal Medicine</title>
<url>http://archinte.ama-assn.org/icons/misc/titlereprint.gif</url>
<link>http://archinte.ama-assn.org</link>
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<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/nmed.2009.446v1?rss=1">
<title><![CDATA[Is It Time to Eliminate Consultation Codes?: An Analysis of Impact and Rationale [Special Article]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/nmed.2009.446v1?rss=1</link>
<description><![CDATA[<p><b>Background&nbsp;</b> As issues of health care cost escalation and parity of payment between primary care and other physicians have become more important, one proposal has been to eliminate consultation codes. Little is known about the current payment accuracy or financial impact of such a change.</p><p><b>Methods&nbsp;</b> To assess the impact of consultation code elimination, 2 assessments were conducted. First, from June 1, 2008, to July 1, 2009, 500 consecutive referrals from primary care physicians to other specialists were reviewed and matched with claims for accuracy of coding and billing. Second, to evaluate the financial impact of this change, year 2007 data on outpatient consultations from the Centers for Medicare and Medicaid Services were reviewed.</p><p><b>Results&nbsp;</b> Of the 500 claims reviewed, 466 were appropriate for analysis. Overall, the coding error rate was 32.4%. When the requesting physician ordered a consultation, the error rate was 5.5%; however, with lower paid referral requests, the error rate was 78.0%. Changing ambulatory consultation codes to those for new patient visits would save Medicare $534.5 million per year.</p><p><b>Conclusions&nbsp;</b> Consultation codes are being billed erroneously at a high rate. Furthermore, the differential cost to Medicare of these codes over those for new patient evaluation and management codes is over half a billion dollars per year. With the growing needs for cost savings as well as encouraging payment parity for cognitive services for primary care physicians, it is time these codes are reevaluated.</p><p>Published online November 9, 2009 (doi:10.1001/archinternmed.2009.446).</p>]]></description>
<dc:creator><![CDATA[Shalowitz, J. I.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:39:34 PST</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Primary Care/ Family Medicine]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.446</dc:identifier>
<dc:title><![CDATA[Is It Time to Eliminate Consultation Codes?: An Analysis of Impact and Rationale [Special Article]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:section>Special Article</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1826?rss=1">
<title><![CDATA[About This Journal [About This Journal]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1826?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:title><![CDATA[About This Journal [About This Journal]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1826</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1826</prism:startingPage>
<prism:section>About This Journal</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1828?rss=1">
<title><![CDATA[In This Issue of Archives of Internal Medicine [In This Issue of Archives of Internal Medicine]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1828?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:identifier>info:doi/10.1001/archinternmed.2009.363</dc:identifier>
<dc:title><![CDATA[In This Issue of Archives of Internal Medicine [In This Issue of Archives of Internal Medicine]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1828</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1828</prism:startingPage>
<prism:section>In This Issue of Archives of Internal Medicine</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1830?rss=1">
<title><![CDATA[Orienting Health Care Reform Around Universal Access [Commentary]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1830?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Cerise, F. P., Chokshi, D. A.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:subject><![CDATA[Medical Practice, Caring for the Uninsured and Underinsured, Health Policy, Medical Practice, Other, Quality of Care, Quality of Care, Other, Health Care Reform]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.340</dc:identifier>
<dc:title><![CDATA[Orienting Health Care Reform Around Universal Access [Commentary]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1832</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1830</prism:startingPage>
<prism:section>Commentary</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1833?rss=1">
<title><![CDATA[Controlling Health Care Costs in Massachusetts After Health Care Reform: There Is No Silver Bullet [Editorial]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1833?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Bigby, J.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Health Care Reform]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.335</dc:identifier>
<dc:title><![CDATA[Controlling Health Care Costs in Massachusetts After Health Care Reform: There Is No Silver Bullet [Editorial]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1835</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1833</prism:startingPage>
<prism:section>Editorial</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1836?rss=1">
<title><![CDATA[Emergency Care: The Increasing Weight of Increasing Waits [Editorial]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1836?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Hsia, R. Y., Tabas, J. A.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Quality of Care, Patient Safety/ Medical Error, Quality of Care, Other, Emergency Medicine]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.350</dc:identifier>
<dc:title><![CDATA[Emergency Care: The Increasing Weight of Increasing Waits [Editorial]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1838</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1836</prism:startingPage>
<prism:section>Editorial</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1839?rss=1">
<title><![CDATA[Treatment of Polymyalgia Rheumatica: A Systematic Review [Review Article]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1839?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Polymyalgia rheumatica (PMR) treatment is based on low-dose glucocorticoids. Glucocorticoid-sparing agents have also been tested. Our objective was to systematically examine the peer-reviewed literature on PMR therapy, particularly the optimal glucocorticoid type, starting doses, and subsequent reduction regimens as well as glucocorticoid-sparing medications.</p>
<p><b>Methods&nbsp;</b> We searched Cochrane Databases and MEDLINE (1957 through December 2008) for English-language articles on PMR treatment (randomized trials, prospective cohorts, case-control trials, and case series) that included 20 or more patients. All data on study design, PMR definition criteria, medical therapy, and disease outcomes were collected using a standardized protocol.</p>
<p><b>Results&nbsp;</b> Thirty studies (13 randomized trials and 17 observational studies) were analyzed. No meta-analyses or systematic reviews were found. The PMR definition criteria, treatment protocols, and outcome measures differed widely among the trials. Starting prednisone doses higher than 10 mg/d were associated with fewer relapses and shorter therapy than were lower doses; starting prednisone doses of 15 mg/d or lower were associated with lower cumulative glucocorticoid doses than were higher starting prednisone doses; and starting prednisone doses higher than 15 mg/d were associated with more glucocorticoid-related adverse effects. Slow prednisone dose tapering (&lt;1 mg/mo) was associated with fewer relapses and more frequent glucocorticoid treatment cessation than faster tapering regimens. Initial addition of oral or intramuscular methotrexate provided efficacy at doses of 10 mg/wk or higher. Infliximab was ineffective as initial cotreatment.</p>
<p><b>Conclusions&nbsp;</b> The scarcity of randomized trials and the high level of heterogeneity of studies on PMR therapy do not allow firm conclusions to be drawn. However, PMR remission seems to be achieved with prednisone treatment at a dose of 15 mg/d in most patients, and reductions below 10 mg/d should preferably follow a tapering rate of less than 1 mg/mo. Methotrexate seems to exert glucocorticoid-sparing properties.</p>
]]></description>
<dc:creator><![CDATA[Hernandez-Rodriguez, J., Cid, M. C., Lopez-Soto, A., Espigol-Frigole, G., Bosch, X.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:subject><![CDATA[Pain, Rheumatology, Rheumatology, Other, Review, Drug Therapy, Adverse Effects, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.352</dc:identifier>
<dc:title><![CDATA[Treatment of Polymyalgia Rheumatica: A Systematic Review [Review Article]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1850</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1839</prism:startingPage>
<prism:section>Review Article</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1851?rss=1">
<title><![CDATA[Fifty Years of Thiazide Diuretic Therapy for Hypertension [Review Article]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1851?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> The use of thiazide diuretics has decreased over the past 30 years despite data from many well-controlled clinical trials demonstrating that the use of these agents as monotherapy or in combination with other antihypertensive agents will reduce blood pressure and decrease cardiovascular as well as cerebrovascular events.</p>
<p><b>Methods&nbsp;</b> We reviewed clinical and experimental data on thiazide diuretics since their introduction in the late 1950s.</p>
<p><b>Results&nbsp;</b> The<b></b> results of thiazide-based therapy in young and old are consistently positive despite concerns about some metabolic changes, eg, insulin resistance or hypokalemia, that may occur.</p>
<p><b>Conclusion&nbsp;</b> We conclude that these agents are safe, effective, and well tolerated and should continue to be used either as monotherapy or with other medications in the management of hypertension.</p>
]]></description>
<dc:creator><![CDATA[Moser, M., Feig, P. U.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:subject><![CDATA[Neurology, Cerebrovascular Disease, Stroke, Cardiovascular System, Review, Cardiovascular Disease/ Myocardial Infarction, Drug Therapy, Drug Therapy, Other, Hypertension]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.342</dc:identifier>
<dc:title><![CDATA[Fifty Years of Thiazide Diuretic Therapy for Hypertension [Review Article]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1856</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1851</prism:startingPage>
<prism:section>Review Article</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1857?rss=1">
<title><![CDATA[Percentage of US Emergency Department Patients Seen Within the Recommended Triage Time: 1997 to 2006 [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1857?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> The wait time to see a physician in US emergency departments (EDs) is increasing and may differentially affect patients with varied insurance status and racial/ethnic backgrounds.</p>
<p><b>Methods&nbsp;</b> Using a stratified random sampling of 151&nbsp;999 visits, representing 539 million ED visits from 1997 to 2006, we examined trends in the percentage of patients seen within the triage target time by triage category (emergent, urgent, semiurgent, and nonurgent), payer type, and race/ethnicity.</p>
<p><b>Results&nbsp;</b> The percentage of patients seen within the triage target time declined a mean of 0.8% per year, from 80.0% in 1997 to 75.9% in 2006 (<I>P</I>&nbsp;&lt;&nbsp;.001). The percentage of patients seen within the triage target time declined 2.3% per year for emergent patients (59.2% to 48.0%; <I>P</I>&nbsp;&lt;&nbsp;.001) compared with 0.7% per year for semiurgent patients (90.6% to 84.7%; <I>P</I>&nbsp;&lt;&nbsp;.001). In 2006, the adjusted odds of being seen within the triage target time were 30% lower than in 1997 (odds ratio, 0.70; 95% confidence interval, 0.55-0.89). The adjusted odds of being seen within the triage target time were 87% lower (odds ratio, 0.13; 95% confidence interval, 0.11-0.15) for emergent patients compared with semiurgent patients. Patients of each payment type experienced similar decreases in the percentage seen within the triage target over time (<I>P</I> for interaction&nbsp;=&nbsp;.24), as did patients of each racial/ethnic group (<I>P</I>&nbsp;=&nbsp;.05).</p>
<p><b>Conclusions&nbsp;</b> The percentage of patients in the ED who are seen by a physician within the time recommended at triage has been steadily declining and is at its lowest point in at least 10 years. Of all patients in the ED, the most emergent are the least likely to be seen within the triage target time. Patients of all racial/ethnic backgrounds and payer types have been similarly affected.</p>
]]></description>
<dc:creator><![CDATA[Horwitz, L. I., Bradley, E. H.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Quality of Care, Patient Safety/ Medical Error, Quality of Care, Other, Emergency Medicine]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.336</dc:identifier>
<dc:title><![CDATA[Percentage of US Emergency Department Patients Seen Within the Recommended Triage Time: 1997 to 2006 [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1865</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1857</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1866?rss=1">
<title><![CDATA[Primary Care Visit Duration and Quality: Does Good Care Take Longer? [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1866?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> It is unclear if increasing pressure on primary care physicians to be more efficient has affected visit duration or quality of care. We sought to describe changes in the duration of adult primary care visits and in the quality of care provided during these visits and to determine whether quality of care is associated with visit duration.</p>
<p><b>Methods&nbsp;</b> We conducted a retrospective analysis of visits by adults 18 years or older to a nationally representative sample of office-based primary care physicians in the United States.</p>
<p><b>Results&nbsp;</b> Between 1997 and 2005, US adult primary care visits to physicians increased from 273 million to 338 million annually, or 10% on a per capita basis. The mean visit duration increased from 18.0 to 20.8 minutes (<I>P</I>&nbsp;&lt;&nbsp;.001 for trend). Visit duration increased by 3.4 minutes for general medical examinations and for the 3 most common primary diagnoses of diabetes mellitus (4.2 minutes, <I>P</I>&nbsp;=&nbsp;.002 for trend), essential hypertension (3.7 minutes, <I>P</I>&nbsp;&lt;&nbsp;.001 for trend), and arthropathies (5.9 minutes, <I>P</I>&nbsp;&lt;&nbsp;.001 for trend). Comparing the early period (1997-2001) with the late period (2002-2005), quality of care improved for 1 of 3 counseling or screening indicators and for 4 of 6 medication indicators. Providing appropriate counseling or screening generally took 2.6 to 4.2 minutes. Providing appropriate medication therapy was not associated with longer visit duration.</p>
<p><b>Conclusions&nbsp;</b> Adult primary care visit frequency, quality, and duration increased between 1997 and 2005. Modest relationships were noted between visit duration and quality of care. Providing counseling or screening required additional physician time, but ensuring that patients were taking appropriate medications seemed to be independent of visit duration.</p>
]]></description>
<dc:creator><![CDATA[Chen, L. M., Farwell, W. R., Jha, A. K.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:subject><![CDATA[Patient-Physician Relationship/ Care, Patient-Physician Communication, Primary Care/ Family Medicine, Quality of Care, Quality of Care, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.341</dc:identifier>
<dc:title><![CDATA[Primary Care Visit Duration and Quality: Does Good Care Take Longer? [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1872</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1866</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1873?rss=1">
<title><![CDATA[Long-term Effects of a Very Low-Carbohydrate Diet and a Low-Fat Diet on Mood and Cognitive Function [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1873?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Very low-carbohydrate (LC) diets are often used to promote weight loss, but the long-term effects on psychological function remain unknown.</p>
<p><b>Methods&nbsp;</b> A total of 106 overweight and obese participants (mean [SE] age, 50.0 [0.8] years; mean [SE] body mass index [calculated as weight in kilograms divided by height in meters squared], 33.7 [0.4]) were randomly assigned either to an energy-restricted (approximately 1433-1672 kcal [to convert to kilojoules, multiply by 4.186]), planned isocaloric, very low-carbohydrate, high-fat (LC) diet or to a high-carbohydrate, low-fat (LF) diet for 1 year. Changes in body weight, psychological mood and well-being (Profile of Mood States, Beck Depression Inventory, and Spielberger State Anxiety Inventory scores), and cognitive functioning (working memory and speed of processing) were assessed.</p>
<p><b>Results&nbsp;</b> By 1 year, the overall mean (SE) weight loss was 13.7 (1.8) kg, with no significant difference between groups (P&nbsp;=&nbsp;.26). Over the course of the study, there were significant time <FONT FACE="arial,helvetica">x</FONT> diet interactions for Spielberger State Anxiety Inventory, Beck Depression Inventory, and Profile of Mood States scores for total mood disturbance, anger-hostility, confusion-bewilderment, and depression-dejection (<I>P</I>&nbsp;&lt;&nbsp;.05) as a result of greater improvements in these psychological mood states for the LF diet compared with the LC diet. Working memory improved by 1 year (<I>P</I>&nbsp;&lt;&nbsp;.001 for time), but speed of processing remained largely unchanged, with no effect of diet composition on either cognitive domain.</p>
<p><b>Conclusions&nbsp;</b> Over 1 year, there was a favorable effect of an energy-restricted LF diet compared with an isocaloric LC diet on mood state and affect in overweight and obese individuals. Both diets had similar effects on working memory and speed of processing.</p>
<p><b>Trial Registration&nbsp;</b> anzctr.org.au Identifier: <inter-ref locator-type="url" locator="http://www.anzctr.org.au">12606000203550</inter-ref></p>
]]></description>
<dc:creator><![CDATA[Brinkworth, G. D., Buckley, J. D., Noakes, M., Clifton, P. M., Wilson, C. J.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:subject><![CDATA[Neurology, Neurology, Other, Psychiatry, Psychiatry, Other, Public Health, Obesity, Prognosis/ Outcomes, Diet]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.329</dc:identifier>
<dc:title><![CDATA[Long-term Effects of a Very Low-Carbohydrate Diet and a Low-Fat Diet on Mood and Cognitive Function [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1880</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1873</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1881?rss=1">
<title><![CDATA[Diagnostic Error in Medicine: Analysis of 583 Physician-Reported Errors [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1881?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Missed or delayed diagnoses are a common but understudied area in patient safety research. To better understand the types, causes, and prevention of such errors, we surveyed clinicians to solicit perceived cases of missed and delayed diagnoses.</p>
<p><b>Methods&nbsp;</b> A 6-item written survey was administered at 20 grand rounds presentations across the United States and by mail at 2 collaborating institutions. Respondents were asked to report 3 cases of diagnostic errors and to describe their perceived causes, seriousness, and frequency.</p>
<p><b>Results&nbsp;</b> A total of 669 cases were reported by 310 clinicians from 22 institutions. After cases without diagnostic errors or lacking sufficient details were excluded, 583 remained. Of these, 162 errors (28%) were rated as major, 241 (41%) as moderate, and 180 (31%) as minor or insignificant. The most common missed or delayed diagnoses were pulmonary embolism (26 cases [4.5% of total]), drug reactions or overdose (26 cases [4.5%]), lung cancer (23 cases [3.9%]), colorectal cancer (19 cases [3.3%]), acute coronary syndrome (18 cases [3.1%]), breast cancer (18 cases [3.1%]), and stroke (15 cases [2.6%]). Errors occurred most frequently in the testing phase (failure to order, report, and follow-up laboratory results) (44%), followed by clinician assessment errors (failure to consider and overweighing competing diagnosis) (32%), history taking (10%), physical examination (10%), and referral or consultation errors and delays (3%).</p>
<p><b>Conclusions&nbsp;</b> Physicians readily recalled multiple cases of diagnostic errors and were willing to share their experiences. Using a new taxonomy tool and aggregating cases by diagnosis and error type revealed patterns of diagnostic failures that suggested areas for improvement. Systematic solicitation and analysis of such errors can identify potential preventive strategies.</p>
]]></description>
<dc:creator><![CDATA[Schiff, G. D., Hasan, O., Kim, S., Abrams, R., Cosby, K., Lambert, B. L., Elstein, A. S., Hasler, S., Kabongo, M. L., Krosnjar, N., Odwazny, R., Wisniewski, M. F., McNutt, R. A.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:subject><![CDATA[Critical Care/ Intensive Care Medicine, Adult Critical Care, Patient-Physician Relationship/ Care, Patient-Physician Communication, Patient-Physician Relationship, Other, Quality of Care, Patient Safety/ Medical Error, Quality of Care, Other, Statistics and Research Methods]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.333</dc:identifier>
<dc:title><![CDATA[Diagnostic Error in Medicine: Analysis of 583 Physician-Reported Errors [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1887</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1881</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1888?rss=1">
<title><![CDATA[Disclosure of Hospital Adverse Events and Its Association With Patients' Ratings of the Quality of Care [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1888?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Little is known about how the characteristics of adverse events (AEs) affect the likelihood of disclosure or how the disclosure of an AE relates to patients' perception of quality of care.</p>
<p><b>Methods&nbsp;</b> The study included a random sample of medical and surgical acute care adult patients in Massachusetts hospitals between April 1 and October 1, 2003. The unit of analysis was the AE, and multivariable regression analyses accounted for clustering at the patient level.</p>
<p><b>Results&nbsp;</b> Overall, 603 patients reported 845 AEs, and 40% of AEs were disclosed. The AEs that required additional treatment (odds ratio [OR], 1.64; 95% confidence interval [CI], 1.16-2.32) or affected patients who reported good health (OR, 2.04; 95% CI, 1.29-3.24) were more likely to be disclosed. Disclosure was less likely if the events were preventable (OR, 0.58; 95% CI, 0.41-0.83) or if the patients were still affected by the AE at the time of survey (OR, 0.49; 95% CI, 0.31-0.78). Higher-quality ratings were associated with disclosure (OR, 2.04; 95% CI, 1.39-2.99) of preventable and nonpreventable events and with patients who felt that they were able to protect themselves from AEs (OR, 1.98; 95% CI, 1.21-3.24). Lower-quality ratings were associated with events that were preventable (OR, 0.55; 95% CI, 0.40-0.76), with events that caused increased discomfort (OR, 0.62; 95% CI, 0.46-0.86), or with events that still adversely affected the patient at the time of the survey (OR, 0.68; 95% CI, 0.46-0.98).</p>
<p><b>Conclusions&nbsp;</b> Rates of disclosure of AEs by medical personnel remain low in hospitalized patients. Disclosure of some of these events is associated with higher ratings of quality by patients.</p>
]]></description>
<dc:creator><![CDATA[Lopez, L., Weissman, J. S., Schneider, E. C., Weingart, S. N., Cohen, A. P., Epstein, A. M.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:subject><![CDATA[Critical Care/ Intensive Care Medicine, Adult Critical Care, Patient-Physician Relationship/ Care, Patient-Physician Communication, Patient-Physician Relationship, Other, Quality of Care, Patient Safety/ Medical Error, Quality of Care, Other, Statistics and Research Methods]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.387</dc:identifier>
<dc:title><![CDATA[Disclosure of Hospital Adverse Events and Its Association With Patients' Ratings of the Quality of Care [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1894</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1888</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1894?rss=1">
<title><![CDATA[Entering the Second Decade of the Patient Safety Movement: The Field Matures: Comment on "Disclosure of Hospital Adverse Events and Its Association With Patients' Ratings of the Quality of Care" [Invited Commentary]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1894?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Wachter, R. M.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:37 PST</dc:date>
<dc:subject><![CDATA[Critical Care/ Intensive Care Medicine, Adult Critical Care, Patient-Physician Relationship/ Care, Patient-Physician Communication, Patient-Physician Relationship, Other, Quality of Care, Patient Safety/ Medical Error, Quality of Care, Other, Statistics and Research Methods]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.351</dc:identifier>
<dc:title><![CDATA[Entering the Second Decade of the Patient Safety Movement: The Field Matures: Comment on "Disclosure of Hospital Adverse Events and Its Association With Patients' Ratings of the Quality of Care" [Invited Commentary]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1896</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1894</prism:startingPage>
<prism:section>Invited Commentary</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1897?rss=1">
<title><![CDATA[APOA2, Dietary Fat, and Body Mass Index: Replication of a Gene-Diet Interaction in 3 Independent Populations [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1897?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Nutrigenetics studies the role of genetic variation on interactions between diet and health, aiming to provide more personalized dietary advice. However, replication has been low. Our aim was to study interaction among a functional <I>APOA2</I> polymorphism, food intake, and body mass index (BMI) in independent populations to replicate findings and to increase their evidence level.</p>
<p><b>Methods&nbsp;</b> Cross-sectional, follow-up (20 years), and case-control analyses were undertaken in 3 independent populations. We analyzed gene-diet interactions between the <I>APOA2</I> &ndash;265T>C polymorphism and saturated fat intake on BMI and obesity in 3462 individuals from 3 populations in the United States: the Framingham Offspring Study (1454 whites), the Genetics of Lipid Lowering Drugs and Diet Network Study (1078 whites), and Boston&ndash;Puerto Rican Centers on Population Health and Health Disparities Study (930 Hispanics of Caribbean origin).</p>
<p><b>Results&nbsp;</b> Prevalence of the CC genotype in study participants ranged from 10.5% to 16.2%. We identified statistically significant interactions between the <I>APOA2</I> &ndash;265T>C and saturated fat regarding BMI in all 3 populations. Thus, the magnitude of the difference in BMI between the individuals with the CC and TT+TC genotypes differed by saturated fat. A mean increase in BMI of 6.2% (range, 4.3%-7.9%; <I>P</I>&nbsp;=&nbsp;.01) was observed between genotypes with high&ndash; (&ge;22 g/d) but not with low&ndash; saturated fat intake in all studies. Likewise, the CC genotype was significantly associated with higher obesity prevalence in all populations only in the high&ndash;saturated fat stratum. Meta-analysis estimations of obesity for individuals with the CC genotype compared with the TT+TC genotype were an odds ratio of 1.84 (95% confidence interval, 1.38-2.47; <I>P</I>&nbsp;&lt;&nbsp;.001) in the high&ndash;saturated fat stratum, but no association was detected in the low&ndash;saturated fat stratum (odds ratio, 0.81; 95% confidence interval, 0.59-1.11; <I>P</I>&nbsp;=&nbsp;.18).</p>
<p><b>Conclusion&nbsp;</b> For the first time to our knowledge, a gene-diet interaction influencing BMI and obesity has been strongly and consistently replicated in 3 independent populations.</p>
]]></description>
<dc:creator><![CDATA[Corella, D., Peloso, G., Arnett, D. K., Demissie, S., Cupples, L. A., Tucker, K., Lai, C.-Q., Parnell, L. D., Coltell, O., Lee, Y.-C., Ordovas, J. M.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Nutritional and Metabolic Disorders, Lipids and Lipid Disorders, Public Health, Obesity, Public Health, Other, Diet, Genetics, Genetic Disorders]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.343</dc:identifier>
<dc:title><![CDATA[APOA2, Dietary Fat, and Body Mass Index: Replication of a Gene-Diet Interaction in 3 Independent Populations [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1906</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1897</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1907?rss=1">
<title><![CDATA[Patient Comprehension of an Interactive, Computer-Based Information Program for Cardiac Catheterization: A Comparison With Standard Information [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1907?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Several studies suggest that standard verbal and written consent information for treatment is often poorly understood by patients and their families. The present study examines the effect of an interactive computer-based information program on patients' understanding of cardiac catheterization.</p>
<p><b>Methods&nbsp;</b> Adult patients scheduled to undergo diagnostic cardiac catheterization (n&nbsp;=&nbsp;135) were randomized to receive details about the procedure using either standard institutional verbal and written information (SI) or interactive computerized information (ICI) preloaded on a laptop computer. Understanding was measured using semistructured interviews at baseline (ie, before information was given), immediately following cardiac catheterization (early understanding), and 2 weeks after the procedure (late understanding). The primary study outcome was the change from baseline to early understanding between groups.</p>
<p><b>Results&nbsp;</b> Subjects randomized to the ICI intervention had significantly greater improvement in understanding compared with those who received the SI (net change, 0.81; 95% confidence interval, 0.01-1.6). Significantly more subjects in the ICI group had complete understanding of the risks of cardiac catheterization (53.6% vs 23.1%) (<I>P</I>&nbsp;=&nbsp;.001) and options for treatment (63.2% vs 46.2%) (<I>P</I>&nbsp;=&nbsp;.048) compared with the SI group. Several predictors of improved understanding were identified, including baseline knowledge (<I>P</I>&nbsp;&lt;&nbsp;.001), younger age (<I>P</I>&nbsp;=&nbsp;.002), and use of the ICI (<I>P</I>&nbsp;=&nbsp;.003).</p>
<p><b>Conclusions&nbsp;</b> Results suggest that an interactive computer-based information program for cardiac catheterization may be more effective in improving patient understanding than conventional written consent information. This technology, therefore, holds promise as a means of presenting understandable detailed information regarding a variety of medical treatments and procedures.</p>
]]></description>
<dc:creator><![CDATA[Tait, A. R., Voepel-Lewis, T., Moscucci, M., Brennan-Martinez, C. M., Levine, R.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Informatics/ Internet in Medicine, Informatics, Other, Patient-Physician Relationship/ Care, Patient-Physician Communication, Patient Education/ Health Literacy, Cardiovascular System, Cardiac Diagnostic Tests]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.390</dc:identifier>
<dc:title><![CDATA[Patient Comprehension of an Interactive, Computer-Based Information Program for Cardiac Catheterization: A Comparison With Standard Information [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1914</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1907</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1914?rss=1">
<title><![CDATA[Quandaries of Informed Consent: Comment on "Patient Comprehension of an Interactive, Computer-Based Information Program for Cardiac Catheterization" [Invited Commentary]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1914?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Hanson, J. L.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Informatics/ Internet in Medicine, Informatics, Other, Patient-Physician Relationship/ Care, Patient-Physician Communication, Patient Education/ Health Literacy, Cardiovascular System, Cardiac Diagnostic Tests]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.388</dc:identifier>
<dc:title><![CDATA[Quandaries of Informed Consent: Comment on "Patient Comprehension of an Interactive, Computer-Based Information Program for Cardiac Catheterization" [Invited Commentary]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1915</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1914</prism:startingPage>
<prism:section>Invited Commentary</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1916?rss=1">
<title><![CDATA[Back Pain During War: An Analysis of Factors Affecting Outcome [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1916?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Back pain is the leading cause of disability in the world, but it is even more common in soldiers deployed for combat operations. Aside from battle injuries and psychiatric conditions, spine pain and other musculoskeletal conditions are associated with the lowest return-to-unit rate among service members medically evacuated out of Operations Iraqi and Enduring Freedom.</p>
<p><b>Methods&nbsp;</b> Demographic, military-specific, and outcome data were prospectively collected over a 2-week period at the Deployed Warrior Medical Management Center in Germany on 1410 consecutive soldiers medically evacuated out of theaters of combat operations for a primary diagnosis pertaining to back pain between 2004 and 2007. The 2-week period represents the maximal allowable time an evacuated soldier can spend in treatment before disposition (ie, return to theater or evacuate to United States) is rendered. Electronic medical records were then reviewed to examine the effect a host of demographic and clinical variables had on the categorical outcome measure, return to unit.</p>
<p><b>Results&nbsp;</b> The overall return-to-unit rate was 13%. Factors associated with a positive outcome included female sex, deployment to Afghanistan, being an officer, and a history of back pain. Trends toward not returning to duty were found for navy and marine service members, coexisting psychiatric morbidity, and not being seen in a pain clinic.</p>
<p><b>Conclusions&nbsp;</b> The likelihood of a service member medically evacuated out of theater with back pain returning to duty is low irrespective of any intervention(s) or characteristic(s). More research is needed to determine whether concomitant treatment of coexisting psychological factors and early treatment "in theater" can reduce attrition rates.</p>
]]></description>
<dc:creator><![CDATA[Cohen, S. P., Nguyen, C., Kapoor, S. G., Anderson-Barnes, V. C., Foster, L., Shields, C., McLean, B., Wichman, T., Plunkett, A.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Pain, Violence and Human Rights, War, Prognosis/ Outcomes]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.380</dc:identifier>
<dc:title><![CDATA[Back Pain During War: An Analysis of Factors Affecting Outcome [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1923</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1916</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1923?rss=1">
<title><![CDATA[Back Pain: The Silent Military Threat: Comment on "Back Pain During War" [Invited Commentary]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1923?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Aldington, D. J.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Pain, Violence and Human Rights, War, Prognosis/ Outcomes]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.385</dc:identifier>
<dc:title><![CDATA[Back Pain: The Silent Military Threat: Comment on "Back Pain During War" [Invited Commentary]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1924</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1923</prism:startingPage>
<prism:section>Invited Commentary</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1925?rss=1">
<title><![CDATA[Reversal of First-Degree Atrioventricular Block in Fabry Disease [Comments, Opinions, and Brief Case Reports]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1925?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Blum, A., Podovitzky, O., Sheiman, J., Khasin, M.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Cardiovascular System, Cardiovascular Disease/ Myocardial Infarction, Drug Therapy, Drug Therapy, Other, Genetics, Genetic Disorders]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.334</dc:identifier>
<dc:title><![CDATA[Reversal of First-Degree Atrioventricular Block in Fabry Disease [Comments, Opinions, and Brief Case Reports]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1926</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1925</prism:startingPage>
<prism:section>Comments, Opinions, and Brief Case Reports</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1927?rss=1">
<title><![CDATA[Use of Pharmacotherapy for Smoking Cessation in Italy [Research Letters]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1927?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Public Health, Tobacco, Drug Therapy, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.354</dc:identifier>
<dc:title><![CDATA[Use of Pharmacotherapy for Smoking Cessation in Italy [Research Letters]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1928</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1927</prism:startingPage>
<prism:section>Research Letters</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1928?rss=1">
<title><![CDATA[The Impact of Repeated Cycles of Pharmacotherapy on Smoking Cessation: A Longitudinal Cohort Study [Research Letters]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1928?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Cupertino, A. P., Wick, J. A., Richter, K. P., Mussulman, L., Nazir, N., Ellerbeck, E. F.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Public Health, Tobacco, Drug Therapy, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.355</dc:identifier>
<dc:title><![CDATA[The Impact of Repeated Cycles of Pharmacotherapy on Smoking Cessation: A Longitudinal Cohort Study [Research Letters]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1930</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1928</prism:startingPage>
<prism:section>Research Letters</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1930?rss=1">
<title><![CDATA[Low-Carbohydrate Diet and Blood Lipid Levels: How Good and How Fast? [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1930?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Giugliano, D., Maiorino, M. I., Esposito, K.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Nutritional and Metabolic Disorders, Lipids and Lipid Disorders, Public Health, Obesity, Cardiovascular System, Diet, Cardiovascular Disease/ Myocardial Infarction]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.410</dc:identifier>
<dc:title><![CDATA[Low-Carbohydrate Diet and Blood Lipid Levels: How Good and How Fast? [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1930</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1930</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1930-a?rss=1">
<title><![CDATA[Low-Carbohydrate Diet and Blood Lipid Levels: How Good and How Fast?--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1930-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Jenkins, D. J. A., Wong, J. M. W., Kendall, C. W. C.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Nutritional and Metabolic Disorders, Lipids and Lipid Disorders, Public Health, Obesity, Cardiovascular System, Diet, Cardiovascular Disease/ Myocardial Infarction]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.411</dc:identifier>
<dc:title><![CDATA[Low-Carbohydrate Diet and Blood Lipid Levels: How Good and How Fast?--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1931</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1930</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1931?rss=1">
<title><![CDATA[The Case for Dual Renin-Angiotensin System Inhibition [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1931?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Hirsch, S.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Renal Diseases, Renal Diseases, Other, Drug Therapy, Adverse Effects, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.406</dc:identifier>
<dc:title><![CDATA[The Case for Dual Renin-Angiotensin System Inhibition [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1931</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1931</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1931-a?rss=1">
<title><![CDATA[The Case for Dual Renin-Angiotensin System Inhibition--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1931-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Ku, E., Park, J., Vidhun, J., Campese, V.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Renal Diseases, Renal Diseases, Other, Drug Therapy, Adverse Effects, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.407</dc:identifier>
<dc:title><![CDATA[The Case for Dual Renin-Angiotensin System Inhibition--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1931</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1931</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1931-b?rss=1">
<title><![CDATA[Late-Life Social Activity [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1931-b?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Verkleij, S., Scheele, J., van der Wouden, J. C.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Aging/ Geriatrics, Patient-Physician Relationship/ Care, Psychosocial Issues, Public Health, Exercise]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.408</dc:identifier>
<dc:title><![CDATA[Late-Life Social Activity [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1932</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1931</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/20/1932?rss=1">
<title><![CDATA[Late-Life Social Activity--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/20/1932?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Buchman, A. S., Boyle, P. A., Wilson, R. S., Fleischman, D. A., Leurgans, S. E., Bennett, D. A.]]></dc:creator>
<dc:date>Mon, 09 Nov 2009 12:51:38 PST</dc:date>
<dc:subject><![CDATA[Aging/ Geriatrics, Patient-Physician Relationship/ Care, Psychosocial Issues, Public Health, Exercise]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.409</dc:identifier>
<dc:title><![CDATA[Late-Life Social Activity--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>20</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1932</prism:endingPage>
<prism:publicationDate>2009-11-09</prism:publicationDate>
<prism:startingPage>1932</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1734?rss=1">
<title><![CDATA[About This Journal [About This Journal]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1734?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:22 PDT</dc:date>
<dc:title><![CDATA[About This Journal [About This Journal]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1734</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1734</prism:startingPage>
<prism:section>About This Journal</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1736?rss=1">
<title><![CDATA[In This Issue of Archives of Internal Medicine [In This Issue of Archives of Internal Medicine]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1736?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:identifier>info:doi/10.1001/archinternmed.2009.362</dc:identifier>
<dc:title><![CDATA[In This Issue of Archives of Internal Medicine [In This Issue of Archives of Internal Medicine]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1736</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1736</prism:startingPage>
<prism:section>In This Issue of Archives of Internal Medicine</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1737?rss=1">
<title><![CDATA[Adverse Events in Randomized Trials: Neglected, Restricted, Distorted, and Silenced [Editorial]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1737?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Ioannidis, J. P. A.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Public Health, Public Health, Other, Quality of Care, Patient Safety/ Medical Error, Statistics and Research Methods, Drug Therapy, Adverse Effects]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.313</dc:identifier>
<dc:title><![CDATA[Adverse Events in Randomized Trials: Neglected, Restricted, Distorted, and Silenced [Editorial]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1739</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1737</prism:startingPage>
<prism:section>Editorial</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1740?rss=1">
<title><![CDATA[Women's Cardiovascular Health: Prevention Is Key [Editorial]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1740?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Oertelt-Prigione, S., Regitz-Zagrosek, V.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Neurology, Cerebrovascular Disease, Stroke, Cardiovascular System, Women's Health, Women's Health, Other, Cardiovascular Disease/ Myocardial Infarction]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.353</dc:identifier>
<dc:title><![CDATA[Women's Cardiovascular Health: Prevention Is Key [Editorial]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1741</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1740</prism:startingPage>
<prism:section>Editorial</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1742?rss=1">
<title><![CDATA[Nondaily and Social Smoking: An Increasingly Prevalent Pattern [Commentary]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1742?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Schane, R. E., Glantz, S. A., Ling, P. M.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Public Health, Tobacco]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.315</dc:identifier>
<dc:title><![CDATA[Nondaily and Social Smoking: An Increasingly Prevalent Pattern [Commentary]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1744</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1742</prism:startingPage>
<prism:section>Commentary</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1745?rss=1">
<title><![CDATA[Going Off-label Without Venturing Off-Course: Evidence and Ethical Off-label Prescribing [Commentary]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1745?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Largent, E. A., Miller, F. G., Pearson, S. D.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Quality of Care, Evidence-Based Medicine, Patient Safety/ Medical Error, Quality of Care, Other, Drug Therapy, Adverse Effects, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.314</dc:identifier>
<dc:title><![CDATA[Going Off-label Without Venturing Off-Course: Evidence and Ethical Off-label Prescribing [Commentary]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1747</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1745</prism:startingPage>
<prism:section>Commentary</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1748?rss=1">
<title><![CDATA[The Potency of Team-Based Care Interventions for Hypertension: A Meta-analysis [Review Article]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1748?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Team-based care is the strategy that has had the greatest effect on improving blood pressure (BP). The purpose of this systematic review was to determine the potency of interventions for BP involving nurses or pharmacists.</p>
<p><b>Methods&nbsp;</b> A MEDLINE search for controlled clinical trials that involved a nurse or pharmacist intervention was conducted. Mean reductions in systolic (S) and diastolic (D) BP were determined by 2 reviewers who independently abstracted data and classified the different intervention components.</p>
<p><b>Results&nbsp;</b> Thirty-seven articles met the inclusion criteria. Education about BP medications was significantly associated with a reduction in mean BP (&ndash;8.75/&ndash;3.60 mm Hg). Other strategies that had large effect sizes on SBP include pharmacist treatment recommendations (&ndash;9.30 mm Hg), intervention by nurses (&ndash;4.80 mm Hg), and use of a treatment algorithm (&ndash;4.00 mm Hg). The odds ratios (95% confidence intervals) for controlled BP were: nurses, 1.69 (1.48-1.93); pharmacists within primary care clinics, 2.17 (1.75-2.68); and community pharmacists, 2.89 (1.83-4.55). Mean (SD) reductions in SBP were: nursing studies,&nbsp;5.84&nbsp;(8.05) mm Hg; pharmacists in clinics,&nbsp;7.76&nbsp;(7.81) mm Hg; and community pharmacists, 9.31&nbsp;(5.00) mm Hg. There were no significant differences between the nursing and pharmacy studies (<I>P</I>&nbsp;&ge;&nbsp;.19).</p>
<p><b>Conclusions&nbsp;</b> Team-based care was associated with improved BP control, and individual components of the intervention appeared to predict potency. Implementation of new hypertension guidelines should consider changes in health care organizational structure to include important components of team-based care.</p>
]]></description>
<dc:creator><![CDATA[Carter, B. L., Rogers, M., Daly, J., Zheng, S., James, P. A.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Nursing Care, Quality of Care, Evidence-Based Medicine, Drug Therapy, Drug Therapy, Other, Hypertension]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.316</dc:identifier>
<dc:title><![CDATA[The Potency of Team-Based Care Interventions for Hypertension: A Meta-analysis [Review Article]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1755</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1748</prism:startingPage>
<prism:section>Review Article</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1756?rss=1">
<title><![CDATA[Reporting of Safety Results in Published Reports of Randomized Controlled Trials [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1756?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Reports of clinical trials usually emphasize efficacy results, especially when results are statistically significant. Poor safety reporting can lead to misinterpretation and inadequate conclusions about the interventions assessed. Our aim was to describe the reporting of harm-related results from randomized controlled trials (RCTs).</p>
<p><b>Methods&nbsp;</b> We searched the MEDLINE database for reports of RCTs published from January 1, 2006, through January 1, 2007, in 6 general medical journals with a high impact factor. Data were extracted by use of a standardized form to appraise the presentation of safety results in text and tables.</p>
<p><b>Results&nbsp;</b> Adverse events were mentioned in 88.7% of the 133 reports. No information on severe adverse events and withdrawal of patients owing to an adverse event was given in 27.1% and 47.4% of articles, respectively. Restrictions in the reporting of harm-related data were noted in 43 articles (32.3%) with a description of the most common adverse events only (n&nbsp;=&nbsp;17), severe adverse events only (n&nbsp;=&nbsp;16), statistically significant events only (n&nbsp;=&nbsp;5), and a combination of restrictions (n&nbsp;=&nbsp;5). The population considered for safety analysis was clearly reported in 65.6% of articles.</p>
<p><b>Conclusion&nbsp;</b> Our review reveals important heterogeneity and variability in the reporting of harm-related results in publications of RCTs.</p>
]]></description>
<dc:creator><![CDATA[Pitrou, I., Boutron, I., Ahmad, N., Ravaud, P.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Journalology/ Peer Review/ Authorship, Quality of Care, Patient Safety/ Medical Error, Statistics and Research Methods, Drug Therapy, Adverse Effects]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.306</dc:identifier>
<dc:title><![CDATA[Reporting of Safety Results in Published Reports of Randomized Controlled Trials [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1761</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1756</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1762?rss=1">
<title><![CDATA[Sex-Specific Trends in Midlife Coronary Heart Disease Risk and Prevalence [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1762?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> While recent data indicate that stroke prevalence in women at midlife is double that of similarly aged men in the United States, little is known about current sex-specific trends in symptomatic cardiovascular disease. This study aimed to determine sex-specific midlife prevalence of myocardial infarction (MI) and risk of future coronary heart disease.</p>
<p><b>Methods&nbsp;</b> We assessed the sex-specific MI prevalence and the Framingham coronary risk score (FCRS) among US adults aged 35 to 54 years who participated in the National Health and Nutrition Examination Surveys (NHANES), cross-sectional, nationally representative surveys, during 1988 to 1994 and 1999 to 2004.</p>
<p><b>Results&nbsp;</b> In both epochs, men aged 35 to 54 years had a higher prevalence of MI than similarly aged women, but the gap narrowed in recent years as MI prevalence decreased among men and increased among women (2.5% vs 0.7% in NHANES 1988-1994 [<I>P</I>&nbsp;&lt;&nbsp;.01] and 2.2% vs 1.0% in NHANES 1999-2004 [<I>P</I>&nbsp;&lt;&nbsp;.01]). Among men, the mean FCRS showed an improving trend (8.6% in NHANES 1988-1994 vs 8.1% in NHANES 1999-2004 [<I>P</I>&nbsp;=&nbsp;.07]), while among women, the mean FCRS worsened (3.0% in NHANES 1988-1994 vs 3.3% in NHANES 1999-2004 [<I>P</I>&nbsp;=&nbsp;.02]). Temporal trends in FCRS components revealed that men had more improvements in vascular risk factors than women, but diabetes mellitus prevalence increased in both sexes.</p>
<p><b>Conclusions&nbsp;</b> Over the past 2 decades, MI prevalence has increased among midlife women, while declining among similarly aged men. Also, although the risk of future hard cardiovascular events remains higher in midlife men compared with midlife women, the gap has narrowed in recent years. Greater emphasis on vascular risk factor control in midlife women might help mitigate this worrisome trend.</p>
]]></description>
<dc:creator><![CDATA[Towfighi, A., Zheng, L., Ovbiagele, B.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Men's Health, Men's Health, Other, Cardiovascular System, Women's Health, Women's Health, Other, Cardiovascular Disease/ Myocardial Infarction]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.318</dc:identifier>
<dc:title><![CDATA[Sex-Specific Trends in Midlife Coronary Heart Disease Risk and Prevalence [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1766</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1762</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1767?rss=1">
<title><![CDATA[Sex Differences in Mortality After Acute Myocardial Infarction: Changes From 1994 to 2006 [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1767?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Previous studies have shown that women younger than 55 years have higher hospital mortality rates after acute myocardial infarction (MI) than age-matched men. We examined whether such mortality differences have decreased in recent years.</p>
<p><b>Methods&nbsp;</b> We investigated temporal trends in the hospital case-fatality rates of MI by sex and age from June 1, 1994, through December 31, 2006. The study population included 916&nbsp;380 patients from the National Registry of Myocardial Infarction with a confirmed diagnosis of MI.</p>
<p><b>Results&nbsp;</b> In-hospital mortality decreased markedly between 1994 and 2006 in all patients but more so in women than men. The mortality reduction in 2006 relative to 1994 was largest in women younger than 55 years (52.9%) and lowest in men younger than 55 years (33.3%). In patients younger than 55 years, the absolute decrease in mortality was 3 times larger in women than men (2.7% vs 0.9%). As a result, the excess mortality in younger women (&lt;55 years) compared with men was less pronounced in 2004-2006 (unadjusted odds ratio, 1.32; 95% confidence interval, 1.07-1.67) than it was in 1994-1995 (unadjusted odds ratio, 1.93; 95% confidence interval, 1.67-2.24). The sex difference in mortality decrease was lower in older patients (<I>P</I>&nbsp;=&nbsp;.004 for the interaction among sex, age, and year). Changes in comorbidity and clinical severity features at admission accounted for more than 90% of these mortality trends.</p>
<p><b>Conclusions&nbsp;</b> In recent years, women, particularly younger ones, experienced larger improvements in hospital mortality after MI than men. The narrowing of the mortality gap between younger women and men is largely attributable to temporal changes in risk profiles.</p>
]]></description>
<dc:creator><![CDATA[Vaccarino, V., Parsons, L., Peterson, E. D., Rogers, W. J., Kiefe, C. I., Canto, J.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Men's Health, Men's Health, Other, Cardiovascular System, Women's Health, Women's Health, Other, Cardiovascular Disease/ Myocardial Infarction]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.332</dc:identifier>
<dc:title><![CDATA[Sex Differences in Mortality After Acute Myocardial Infarction: Changes From 1994 to 2006 [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1774</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1767</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1775?rss=1">
<title><![CDATA[Evaluating the Incremental Benefits of Raising High-Density Lipoprotein Cholesterol Levels During Lipid Therapy After Adjustment for the Reductions in Other Blood Lipid Levels [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1775?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> The role of high-density lipoprotein cholesterol (HDL-C) as a therapeutic target to prevent cardiovascular (CV) events remains unclear. We examined data from the Framingham Offspring Study from 1975 through 2003 to determine whether increases in HDL-C levels after lipid therapy was started were independently associated with a reduction in CV events.</p>
<p><b>Methods&nbsp;</b> Using Cox proportional-hazards regression, we evaluated the risk of a CV event associated with changes in blood lipid levels among individuals who started lipid therapy. The independent effect of HDL-C levels on future CV risk (average follow-up, 8 years) was estimated after adjustment for changes in low-density lipoprotein cholesterol, plasma triglycerides, and pretreatment blood lipid levels. Potential confounders (eg, smoking status, weight, and the use of &beta;-blockers) were then added to the model. Interactions between blood lipid levels were also explored.</p>
<p><b>Results&nbsp;</b> The change in HDL-C level was a strong independent risk factor for CV events (hazard ratio, 0.79 per 5-mg/dL increase; 95% confidence interval, 0.67-0.93) after adjustment for the other lipid changes associated with treatment. This relationship remained stable across a wide range of patient subgroups and did not appear to be associated with a specific drug class. An important interaction was observed: the lower the pretreatment low-density lipoprotein cholesterol level, the greater the impact of raising the HDL-C.</p>
<p><b>Conclusions&nbsp;</b> Raising HDL-C levels with commonly used lipid medications appears to be an important determinant of the benefits associated with lipid therapy. These results support the further evaluation of therapies to raise HDL-C levels to prevent CV events.</p>
]]></description>
<dc:creator><![CDATA[Grover, S. A., Kaouache, M., Joseph, L., Barter, P., Davignon, J.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Nutritional and Metabolic Disorders, Lipids and Lipid Disorders, Cardiovascular System, Cardiovascular Disease/ Myocardial Infarction, Drug Therapy, Adverse Effects, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.328</dc:identifier>
<dc:title><![CDATA[Evaluating the Incremental Benefits of Raising High-Density Lipoprotein Cholesterol Levels During Lipid Therapy After Adjustment for the Reductions in Other Blood Lipid Levels [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1780</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1775</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1781?rss=1">
<title><![CDATA[Role of Lifestyle and Aging on the Longitudinal Change in Cardiorespiratory Fitness [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1781?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Cardiorespiratory fitness (CRF) in adults decreases with age and is influenced by lifestyle. Low CRF is associated with risk of diseases and the ability of older persons to function independently. We defined the longitudinal rate of CRF decline with aging and the association of aging and lifestyle with CRF.</p>
<p><b>Methods&nbsp;</b> We studied a cohort of 3429 women and 16&nbsp;889 men, aged 20 to 96 years, from the Aerobics Center Longitudinal Study who completed 2 to 33 health examinations from 1974 to 2006. The lifestyle variables were body mass index, self-reported aerobic exercise, and smoking behavior. Cardiorespiratory fitness was measured by a maximal Balke treadmill exercise test.</p>
<p><b>Results&nbsp;</b> Linear mixed models regression analysis stratified by sex showed that the decline in CRF with age was not linear. After 45 years of age, CRF declined at an accelerated rate. For each unit of increase in body mass index, the CRF of women declined 0.20 metabolic equivalents (METs) (95% confidence interval, &ndash;0.21 to &ndash;0.19); that of men, 0.32 METs (&ndash;0.33 to &ndash;0.20). Current smokers of both sexes also had lower CRF (&ndash;0.29 METs [95% confidence interval, &ndash;0.40 to &ndash;0.19] for women and &ndash;0.41 METS [&ndash;0.44 to &ndash;0.38] for men). Cardiorespiratory fitness was positively associated with self-reported physical activity.</p>
<p><b>Conclusions&nbsp;</b> Cardiorespiratory fitness in men and women declines at a nonlinear rate that accelerates after 45 years of age. Maintaining a low BMI, being physically active, and not smoking are associated with higher CRF across the adult life span.</p>
]]></description>
<dc:creator><![CDATA[Jackson, A. S., Sui, X., Hebert, J. R., Church, T. S., Blair, S. N.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Aging/ Geriatrics, Public Health, Exercise, Tobacco, Cardiovascular System, Public Health, Other, Cardiovascular Disease/ Myocardial Infarction]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.312</dc:identifier>
<dc:title><![CDATA[Role of Lifestyle and Aging on the Longitudinal Change in Cardiorespiratory Fitness [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1787</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1781</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1788?rss=1">
<title><![CDATA[The Effects of a Nurse Case Manager and a Community Health Worker Team on Diabetic Control, Emergency Department Visits, and Hospitalizations Among Urban African Americans With Type 2 Diabetes Mellitus: A Randomized Controlled Trial [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1788?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Although African American adults bear a disproportionate burden from diabetes mellitus (DM), few randomized controlled trials have tested culturally appropriate interventions to improve DM care.</p>
<p><b>Methods&nbsp;</b> We randomly assigned 542 African Americans with type 2 DM enrolled in an urban managed care organization to either an intensive or minimal intervention group. The intensive intervention group consisted of all components of the minimal intervention plus individualized, culturally tailored care provided by a nurse case manager (NCM) and a community health worker (CHW), using evidence-based clinical algorithms with feedback to primary care providers (eg, physicians, nurse practitioners, or physician assistants). The minimal intervention consisted of mailings and telephone calls every 6 months to remind participants about preventive screenings. Data on diabetic control were collected at baseline and at 24 months by blind observers; data emergency department (ER) visits and hospitalizations were assessed using administrative data.</p>
<p><b>Results&nbsp;</b> At baseline, participants had a mean age of 58 years, 73% were women, and 50% were living in poverty. At 24 months, compared with the minimal intervention group, those in the intensive intervention group were 23% less likely to have ER visits (rate difference [RD], &ndash;14.5; adjusted rate ratio [RR], 0.77; 95% confidence interval [CI], 0.59-1.00). In on-treatment analyses, the rate reduction was strongest for patients who received the most NCM and CHW visits (RD, &ndash;31.0; adjusted RR, 0.66; 95% CI, 0.43-1.00; rate reduction  34%).</p>
<p><b>Conclusion&nbsp;</b> These data suggest that a culturally tailored intervention conducted by an NCM/CHW team reduced ER visits in urban African Americans with type 2 DM.</p>
<p><b>Trial Registration&nbsp;</b> clinicaltrials.gov Identifier: <inter-ref locator-type="url" locator="http://clinicaltrials.gov/show/NCT00022750">NCT00022750</inter-ref></p>
]]></description>
<dc:creator><![CDATA[Gary, T. L., Batts-Turner, M., Yeh, H.-C., Hill-Briggs, F., Bone, L. R., Wang, N.-Y., Levine, D. M., Powe, N. R., Saudek, C. D., Hill, M. N., McGuire, M., Brancati, F. L.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Patient-Physician Relationship/ Care, Psychosocial Issues, Public Health, Obesity, Randomized Controlled Trial, Endocrine Diseases, Diabetes Mellitus]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.338</dc:identifier>
<dc:title><![CDATA[The Effects of a Nurse Case Manager and a Community Health Worker Team on Diabetic Control, Emergency Department Visits, and Hospitalizations Among Urban African Americans With Type 2 Diabetes Mellitus: A Randomized Controlled Trial [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1794</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1788</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1795?rss=1">
<title><![CDATA[Trial of Family and Friend Support for Weight Loss in African American Adults [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1795?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Family and friend participation may provide culturally salient social support for weight loss in African American adults.</p>
<p><b>Methods&nbsp;</b> SHARE (Supporting Healthy Activity and eating Right Everyday) was a 2-year trial of a culturally specific weight loss program. African American women and men who enrolled alone (individual stratum, 63 index participants) or together with 1 or 2 family members or friends (family stratum, 130 index participants) were randomized, within strata, to high or low social support treatments; 90% were female.</p>
<p><b>Results&nbsp;</b> At 6 months, the family index participants lost approximately 5 to 6 kg; the individual index participants lost approximately 3 to 4 kg. The mean weight change was not different in high vs low social support in either stratum and generally not when high or low support treatments were compared across strata. The overall intention-to-treat mean weight change at 24 months was &ndash;2.4 kg (95% confidence interval, &ndash;3.3 kg to &ndash;1.5 kg). The family index participant weight loss was greater among the participants whose partners attended more personally tailored counseling sessions at 6 months in the high-support group and at 6, 12, and 24 months in the low-support group (all <I>P</I>&nbsp;&lt;&nbsp;.05). Also, in the 6-month intention-to-treat analysis, the percentage of weight loss of the family index participants was greater if partners lost at least 5% vs less than 5% of their baseline weight (respectively, &ndash;6.1% vs &ndash;2.9% [<I>P</I>&nbsp;=&nbsp;.004], high support; and &ndash;6.1% vs &ndash;3.1% [<I>P</I>&nbsp;=&nbsp;.01], low support).</p>
<p><b>Conclusions&nbsp;</b> Being assigned to participate with family members, friends, or other group members had no effect on weight change. Enrolling with others was associated with greater weight loss only when partners participated more and lost more weight.</p>
<p><b>Trial Registration&nbsp;</b> clinicaltrials.gov Identifier: <inter-ref locator-type="url" locator="http://clinicaltrials.gov/show/NCT00146081">NCT00146081</inter-ref></p>
]]></description>
<dc:creator><![CDATA[Kumanyika, S. K., Wadden, T. A., Shults, J., Fassbender, J. E., Brown, S. D., Bowman, M. A., Brake, V., West, W., Frazier, J., Whitt-Glover, M. C., Kallan, M. J., Desnouee, E., Wu, X.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Patient-Physician Relationship/ Care, Psychosocial Issues, Public Health, Obesity, Randomized Controlled Trial, Endocrine Diseases, Diabetes Mellitus]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.337</dc:identifier>
<dc:title><![CDATA[Trial of Family and Friend Support for Weight Loss in African American Adults [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1804</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1795</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1804?rss=1">
<title><![CDATA[The Interdisciplinary Approach to Culturally Tailored Medical Care: "Social Networking" for Decreasing Risk: Comment on "The Effects of a Nurse Case Manager and and a Community Health Worker Team on Diabetic Control, Emergency Department Visits, and Hospitalizations Among Urban African Americans With Type 2 Diabetes Mellitus: A Randomized Controlled Trial " and "Trial of Family and Friend Support for Weight Loss in African American Adults" [Invited Commentary]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1804?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Mieres, J. H., Phillips, L. M.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Patient-Physician Relationship/ Care, Psychosocial Issues, Public Health, Obesity, Randomized Controlled Trial, Endocrine Diseases, Diabetes Mellitus]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.356</dc:identifier>
<dc:title><![CDATA[The Interdisciplinary Approach to Culturally Tailored Medical Care: "Social Networking" for Decreasing Risk: Comment on "The Effects of a Nurse Case Manager and and a Community Health Worker Team on Diabetic Control, Emergency Department Visits, and Hospitalizations Among Urban African Americans With Type 2 Diabetes Mellitus: A Randomized Controlled Trial " and "Trial of Family and Friend Support for Weight Loss in African American Adults" [Invited Commentary]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1805</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1804</prism:startingPage>
<prism:section>Invited Commentary</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1806?rss=1">
<title><![CDATA[Vitamin D2 Treatment for Vitamin D Deficiency and Insufficiency for Up to 6 Years [Research Letters]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1806?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Pietras, S. M., Obayan, B. K., Cai, M. H., Holick, M. F.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Nutritional and Metabolic Disorders, Nutrition/ Malnutrition, Prognosis/ Outcomes, Drug Therapy, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.361</dc:identifier>
<dc:title><![CDATA[Vitamin D2 Treatment for Vitamin D Deficiency and Insufficiency for Up to 6 Years [Research Letters]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1808</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1806</prism:startingPage>
<prism:section>Research Letters</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1808?rss=1">
<title><![CDATA[Physicians' Experience and Satisfaction With Chaplains: A National Survey [Research Letters]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1808?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Fitchett, G., Rasinski, K., Cadge, W., Curlin, F. A.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Patient-Physician Relationship/ Care, Patient-Physician Communication, Psychosocial Issues]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.308</dc:identifier>
<dc:title><![CDATA[Physicians' Experience and Satisfaction With Chaplains: A National Survey [Research Letters]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1810</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1808</prism:startingPage>
<prism:section>Research Letters</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1810?rss=1">
<title><![CDATA[ALLHAT Findings Revisited in the Context of Subsequent Analyses, Other Trials, and Meta-analyses [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1810?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Onuigbo, M. A. C.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Nutritional and Metabolic Disorders, Lipids and Lipid Disorders, Cardiovascular System, Renal Diseases, Renal Diseases, Other, Statistics and Research Methods, Prognosis/ Outcomes, Cardiovascular Disease/ Myocardial Infarction, Drug Therapy, Drug Therapy, Other, Endocrine Diseases, Diabetes Mellitus, Congestive Heart Failure/ Cardiomyopathy, Hypertension]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.371</dc:identifier>
<dc:title><![CDATA[ALLHAT Findings Revisited in the Context of Subsequent Analyses, Other Trials, and Meta-analyses [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1810</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1810</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1810-a?rss=1">
<title><![CDATA[ALLHAT Findings Revisited in the Context of Subsequent Analyses, Other Trials, and Meta-analyses--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1810-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Wright, J. T., Probstfield, J. L., Cushman, W. C., Pressel, S., Cutler, J. A., Davis, B. R., Einhorn, P. T., Rahman, M., Whelton, P. K., Ford, C. E., Haywood, L. J., Margolis, K. L., Oparil, S., Black, H. R., Alderman, M. H., for the ALLHAT Collaborative Research Group]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Nutritional and Metabolic Disorders, Lipids and Lipid Disorders, Cardiovascular System, Renal Diseases, Renal Diseases, Other, Statistics and Research Methods, Prognosis/ Outcomes, Cardiovascular Disease/ Myocardial Infarction, Drug Therapy, Drug Therapy, Other, Endocrine Diseases, Diabetes Mellitus, Congestive Heart Failure/ Cardiomyopathy, Hypertension]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.372</dc:identifier>
<dc:title><![CDATA[ALLHAT Findings Revisited in the Context of Subsequent Analyses, Other Trials, and Meta-analyses--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1811</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1810</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1811?rss=1">
<title><![CDATA[Medical Oncologists' Experience in Attending a Funeral and Communicating Condolences [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1811?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Morris, D. J.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Oncology, Oncology, Other, Pain, Patient-Physician Relationship/ Care, Patient-Physician Communication, End-of-life Care/ Palliative Medicine]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.373</dc:identifier>
<dc:title><![CDATA[Medical Oncologists' Experience in Attending a Funeral and Communicating Condolences [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1811</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1811</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1811-a?rss=1">
<title><![CDATA[Medical Oncologists' Experience in Attending a Funeral and Communicating Condolences--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1811-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Chau, N. G., Zimmermann, C., Ma, C., Taback, N., Krzyzanowska, M. K.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Oncology, Oncology, Other, Pain, Patient-Physician Relationship/ Care, Patient-Physician Communication, End-of-life Care/ Palliative Medicine]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.374</dc:identifier>
<dc:title><![CDATA[Medical Oncologists' Experience in Attending a Funeral and Communicating Condolences--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1812</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1811</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1812?rss=1">
<title><![CDATA[What Is Acupuncture After All? [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1812?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Costi, J. M., Li, S. M., More, A. O. O., Teixeira, J. E. M.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Complementary and Alternative Medicine, Pain]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.377</dc:identifier>
<dc:title><![CDATA[What Is Acupuncture After All? [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1812</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1812</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1812-a?rss=1">
<title><![CDATA[Acupuncture Research: Placebos by Many Other Names [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1812-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Bausell, B., O'Connell, N. E.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Complementary and Alternative Medicine, Pain, Prognosis/ Outcomes]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.378</dc:identifier>
<dc:title><![CDATA[Acupuncture Research: Placebos by Many Other Names [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1813</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1812</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1813?rss=1">
<title><![CDATA[Acupuncture Research: Placebos by Many Other Names--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1813?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Cherkin, D. C., Sherman, K. J.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Complementary and Alternative Medicine, Pain, Prognosis/ Outcomes]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.379</dc:identifier>
<dc:title><![CDATA[Acupuncture Research: Placebos by Many Other Names--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1814</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1813</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1814?rss=1">
<title><![CDATA[Concerns About a Meta-analysis of Computer Smoking Cessation Programs [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1814?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Byron, M. J., Cobb, N. K.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Informatics/ Internet in Medicine, Internet, Patient-Physician Relationship/ Care, Patient Education/ Health Literacy, Public Health, Tobacco, Statistics and Research Methods]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.375</dc:identifier>
<dc:title><![CDATA[Concerns About a Meta-analysis of Computer Smoking Cessation Programs [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1814</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1814</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1814-a?rss=1">
<title><![CDATA[Concerns About a Meta-analysis of Computer Smoking Cessation Programs--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1814-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Myung, S.-K., McDonnell, D. D., Kazinets, G., Seo, H. G., Moskowitz, J. M.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Informatics/ Internet in Medicine, Internet, Patient-Physician Relationship/ Care, Patient Education/ Health Literacy, Public Health, Tobacco, Statistics and Research Methods]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.376</dc:identifier>
<dc:title><![CDATA[Concerns About a Meta-analysis of Computer Smoking Cessation Programs--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1815</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1814</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1815?rss=1">
<title><![CDATA[Informatics Aids to Reduce Failure Rates in Notification of Abnormal Outpatient Test Results [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1815?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Lippi, G., Plebani, M.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Informatics/ Internet in Medicine, Informatics, Other, Patient-Physician Relationship/ Care, Patient-Physician Communication, Quality of Care, Patient Safety/ Medical Error, Diagnosis]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.367</dc:identifier>
<dc:title><![CDATA[Informatics Aids to Reduce Failure Rates in Notification of Abnormal Outpatient Test Results [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1815</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1815</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1815-a?rss=1">
<title><![CDATA[EMRs Do Not Improve Reporting Rates of Abnormal Laboratory Results? [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1815-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Zimmerman, T.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:23 PDT</dc:date>
<dc:subject><![CDATA[Informatics/ Internet in Medicine, Informatics, Other, Patient-Physician Relationship/ Care, Patient-Physician Communication, Quality of Care, Patient Safety/ Medical Error, Diagnosis]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.368</dc:identifier>
<dc:title><![CDATA[EMRs Do Not Improve Reporting Rates of Abnormal Laboratory Results? [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1816</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1815</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1816?rss=1">
<title><![CDATA[Giving Patients Their Results Online Might Be the Answer [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1816?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Christensen, K., Oldenburg, J.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:24 PDT</dc:date>
<dc:subject><![CDATA[Informatics/ Internet in Medicine, Internet, Informatics, Other, Patient-Physician Relationship/ Care, Patient-Physician Communication, Quality of Care, Patient Safety/ Medical Error, Diagnosis]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.369</dc:identifier>
<dc:title><![CDATA[Giving Patients Their Results Online Might Be the Answer [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1816</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1816</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1816-a?rss=1">
<title><![CDATA[Giving Patients Their Results Online Might Be the Answer--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1816-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Casalino, L. P., Dunham, D. P., Chin, M. H., Bieland, R., Kistner, E. O., Karrison, T. G., Ong, M. K., Sarkar, U., McLaughlin, M. A., Meltzer, D. O.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:24 PDT</dc:date>
<dc:subject><![CDATA[Informatics/ Internet in Medicine, Internet, Informatics, Other, Patient-Physician Relationship/ Care, Patient-Physician Communication, Quality of Care, Patient Safety/ Medical Error, Diagnosis]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.370</dc:identifier>
<dc:title><![CDATA[Giving Patients Their Results Online Might Be the Answer--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1817</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1816</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1817?rss=1">
<title><![CDATA[When History Really Is Not Applicable or Relevant [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1817?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Misra, A., Misra, S.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:24 PDT</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Public Health, Public Health, Other, Health Care Reform]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.364</dc:identifier>
<dc:title><![CDATA[When History Really Is Not Applicable or Relevant [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1817</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1817</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1818?rss=1">
<title><![CDATA[The 300-Year-Old Health Care Solution [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1818?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Beyer, H. S.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:24 PDT</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Patient-Physician Relationship/ Care, Treatment Adherence, Public Health, Obesity, Tobacco, Quality of Care, Evidence-Based Medicine, Drug Therapy, Adherence]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.365</dc:identifier>
<dc:title><![CDATA[The 300-Year-Old Health Care Solution [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1818</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1818</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/19/1818-a?rss=1">
<title><![CDATA[The 300-Year-Old Health Care Solution--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/19/1818-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Diamond, G. A., Kaul, S.]]></dc:creator>
<dc:date>Mon, 26 Oct 2009 12:51:24 PDT</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Patient-Physician Relationship/ Care, Treatment Adherence, Public Health, Obesity, Tobacco, Quality of Care, Evidence-Based Medicine, Drug Therapy, Adherence]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.366</dc:identifier>
<dc:title><![CDATA[The 300-Year-Old Health Care Solution--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>19</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1818</prism:endingPage>
<prism:publicationDate>2009-10-26</prism:publicationDate>
<prism:startingPage>1818</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1646?rss=1">
<title><![CDATA[About This Journal [About This Journal]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1646?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:title><![CDATA[About This Journal [About This Journal]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1646</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1646</prism:startingPage>
<prism:section>About This Journal</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1648?rss=1">
<title><![CDATA[In This Issue of Archives of Internal Medicine [In This Issue of Archives of Internal Medicine]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1648?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:identifier>info:doi/10.1001/archinternmed.2009.331</dc:identifier>
<dc:title><![CDATA[In This Issue of Archives of Internal Medicine [In This Issue of Archives of Internal Medicine]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1648</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1648</prism:startingPage>
<prism:section>In This Issue of Archives of Internal Medicine</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1650?rss=1">
<title><![CDATA[A Road Map to Control Malaria, Tuberculosis, and Human Immunodeficiency Virus/AIDS [Commentary]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1650?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Frieden, T. R., Teklehaimanot, A., Chideya, S., Farmer, P., Kim, J. Y., Raviglione, M. C.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Bacterial Infections, HIV/AIDS, Tuberculosis/ Other Mycobacterium, Public Health, World Health, Public Health, Other, Malaria, Drug Therapy, Drug Therapy, Other, Infectious Diseases]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.309</dc:identifier>
<dc:title><![CDATA[A Road Map to Control Malaria, Tuberculosis, and Human Immunodeficiency Virus/AIDS [Commentary]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1652</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1650</prism:startingPage>
<prism:section>Commentary</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1653?rss=1">
<title><![CDATA[Quality of Residential Neighborhood: A Modifiable Risk Factor for Type 2 Diabetes? [Editorial]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1653?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Katz, M. H.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Occupational and Environmental Medicine, Public Health, Obesity, Public Health, Other, Endocrine Diseases, Diabetes Mellitus]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.319</dc:identifier>
<dc:title><![CDATA[Quality of Residential Neighborhood: A Modifiable Risk Factor for Type 2 Diabetes? [Editorial]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1654</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1653</prism:startingPage>
<prism:section>Editorial</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1655?rss=1">
<title><![CDATA[Can the Food and Drug Administration Ensure That Our Pharmaceuticals Are Safely Manufactured? [Editorial]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1655?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Hubbard, W. K.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Public Health, Public Health, Other, Quality of Care, Patient Safety/ Medical Error, Quality of Care, Other, Drug Therapy, Adverse Effects, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.304</dc:identifier>
<dc:title><![CDATA[Can the Food and Drug Administration Ensure That Our Pharmaceuticals Are Safely Manufactured? [Editorial]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1656</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1655</prism:startingPage>
<prism:section>Editorial</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1658?rss=1">
<title><![CDATA[Statins for the Prevention and Treatment of Infections: A Systematic Review and Meta-analysis [Review Article]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1658?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Emerging epidemiological evidence suggests that statin use may reduce the risk of infections and infection-related complications. Our objective was to examine the association between statin use and the risk of infections and related outcomes.</p>
<p><b>Methods&nbsp;</b> We searched several electronic databases from inception through December 2007 for randomized trials and cohort studies that examined the association between statin use and the risk or outcome of infections. Data on study characteristics, measurement of statin use, outcomes (adjusted for potential confounders), and quality assessment were extracted.</p>
<p><b>Results&nbsp;</b> Sixteen cohorts were eligible and differed in representativeness, outcome assessment, and comparability of exposed (statin) and unexposed (nonstatin) groups. Nine cohorts addressed the role of statins in treating infections: bacteremia (n&nbsp;=&nbsp;3), pneumonia (n&nbsp;=&nbsp;3), sepsis (n&nbsp;=&nbsp;2), and bacterial infection (n&nbsp;=&nbsp;1). The pooled adjusted effect estimate was 0.55 (95% confidence interval, 0.36-0.83; <I>I</I><sup>2</sup>&nbsp;=&nbsp;76.5%) in favor of statins. Seven cohorts addressed infection prevention in patients with vascular diseases (n&nbsp;=&nbsp;3), chronic kidney disease (n&nbsp;=&nbsp;1), diabetes (n&nbsp;=&nbsp;1), intensive care unit&ndash;acquired infections (n&nbsp;=&nbsp;1), and in general practice (n&nbsp;=&nbsp;1). The pooled effect estimate was 0.57 (95% confidence interval, 0.43-0.75; <I>I</I><sup>2</sup>&nbsp;=&nbsp;82%) in favor of statin use; there was some evidence of publication bias for this analysis (Egger test; <I>P</I>&nbsp;=&nbsp;.07). Meta-regression did not identify potential effect modifiers that explain the between-study heterogeneity.</p>
<p><b>Conclusions&nbsp;</b> Results for our meta-analysis suggest that statin use may be associated with a beneficial effect in treating and preventing different infections. Given the presence of heterogeneity and publication bias, there is a need for randomized trials to confirm the benefit of statin use in this context.</p>
]]></description>
<dc:creator><![CDATA[Tleyjeh, I. M., Kashour, T., Hakim, F. A., Zimmerman, V. A., Erwin, P. J., Sutton, A. J., Ibrahim, T.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Bacterial Infections, Critical Care/ Intensive Care Medicine, Adult Critical Care, Quality of Care, Evidence-Based Medicine, Review, Drug Therapy, Drug Therapy, Other, Infectious Diseases]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.286</dc:identifier>
<dc:title><![CDATA[Statins for the Prevention and Treatment of Infections: A Systematic Review and Meta-analysis [Review Article]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1667</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1658</prism:startingPage>
<prism:section>Review Article</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1668?rss=1">
<title><![CDATA[Major Depression and Coronary Flow Reserve Detected by Positron Emission Tomography [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1668?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Major depressive disorder (MDD) is associated with coronary heart disease (CHD), but the mechanisms are unclear. The presence of MDD may increase CHD risk by affecting microvascular circulation. It is also plausible that genetic factors influencing MDD may overlap with those for CHD. We sought to examine the relationship between MDD and coronary flow reserve (CFR), the ratio of maximum flow during stress to flow at rest measured in milliliters per minute per gram of tissue.</p>
<p><b>Methods&nbsp;</b> We examined 289 male middle-aged twins, including 106 twins (53 twin pairs) discordant for a lifetime history of MDD and 183 control twins (unrelated to any twins in the experimental group) without MDD. To calculate CFR, we used positron emission tomography with nitrogen 13 (<sup>13</sup>N) ammonia to evaluate myocardial blood flow at rest and after adenosine stress. A standard perfusion defect score was also used to assess myocardial ischemia.</p>
<p><b>Results&nbsp;</b> There was no difference in myocardial ischemia between twins with and without MDD. Among the dizygotic twin pairs discordant for MDD, the CFR was 14% lower in the twins with MDD than in their brothers without MDD (2.36 vs 2.74) (<I>P</I>&nbsp;=&nbsp;.03). This association was not present in the monozygotic discordant pairs who were genetically matched (2.86 vs 2.64) (<I>P</I>&nbsp;=&nbsp;.19). The zygosity-MDD interaction after adjustment was significant (<I>P</I>&nbsp;=&nbsp;.006). The CFR in the dizygotic twins with MDD was also lower than in the control twins.</p>
<p><b>Conclusions&nbsp;</b> Our results provide evidence for a shared genetic pathway between MDD and microvascular dysfunction. Common pathophysiologic processes may link MDD and early atherosclerosis.</p>
]]></description>
<dc:creator><![CDATA[Vaccarino, V., Votaw, J., Faber, T., Veledar, E., Murrah, N. V., Jones, L. R., Zhao, J., Su, S., Goldberg, J., Raggi, J. P., Quyyumi, A. A., Sheps, D. S., Bremner, J. D.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Psychiatry, Depression, Cardiovascular System, Cardiovascular Disease/ Myocardial Infarction, Genetics, Genetic Disorders]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.330</dc:identifier>
<dc:title><![CDATA[Major Depression and Coronary Flow Reserve Detected by Positron Emission Tomography [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1676</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1668</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1677?rss=1">
<title><![CDATA[Glucocorticoid Use and Risk of Atrial Fibrillation or Flutter: A Population-Based, Case-Control Study [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1677?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Glucocorticoid use is associated with increased risk of myocardial infarction, stroke, and heart failure, but data are limited on the risk of atrial fibrillation or flutter. We examined whether glucocorticoid use is associated with the risk of atrial fibrillation or flutter.</p>
<p><b>Methods&nbsp;</b> For this population-based, case-control study, we identified all patients with a first hospital diagnosis of atrial fibrillation or flutter from January 1, 1999, through December 31, 2005, in Northern Denmark (population, 1.7 million). For each case we selected 10 population controls matched by age and sex. We obtained data on glucocorticoid prescriptions within 60 days (current users) or longer before the index date (former users), comorbidity, and medications from medical databases. We used conditional logistic regression to compute odds ratios (ORs), controlling for potential confounders.</p>
<p><b>Results&nbsp;</b> Among 20&nbsp;221 patients with atrial fibrillation or flutter, 1288 (6.4%) were current glucocorticoid users and 2375 (11.7%) were former users. Among 202&nbsp;130 population controls, 5245 (2.6%) were current glucocorticoid users and 19&nbsp;940 (9.9%) were former users. Current glucocorticoid use was associated with an increased risk of atrial fibrillation or flutter compared with never use (adjusted OR,&nbsp;1.92; 95% confidence interval [CI], 1.79-2.06). Among new glucocorticoid users, the adjusted OR was 3.62 (95% CI, 3.11-4.22) and among long-term users it was 1.66 (95% CI, 1.53-1.80). The increased risk remained robust in patients with and without pulmonary and cardiovascular diseases. Former glucocorticoid use was not associated with increased risk (adjusted OR,&nbsp;1.00; 95% CI, 0.96-1.06).</p>
<p><b>Conclusion&nbsp;</b> Current glucocorticoid use was associated with an almost 2-fold increased risk of atrial fibrillation or flutter.</p>
]]></description>
<dc:creator><![CDATA[Christiansen, C. F., Christensen, S., Mehnert, F., Cummings, S. R., Chapurlat, R. D., Sorensen, H. T.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Cardiovascular System, Arrhythmias, Drug Therapy, Adverse Effects, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.297</dc:identifier>
<dc:title><![CDATA[Glucocorticoid Use and Risk of Atrial Fibrillation or Flutter: A Population-Based, Case-Control Study [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1683</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1677</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1684?rss=1">
<title><![CDATA[New-Onset Breast Tenderness After Initiation of Estrogen Plus Progestin Therapy and Breast Cancer Risk [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1684?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Estrogen plus progestin therapy increases breast cancer incidence and breast tenderness. Whether breast tenderness during estrogen plus progestin therapy is associated with breast cancer risk is uncertain.</p>
<p><b>Methods&nbsp;</b> We analyzed data from the Women's Health Initiative Estrogen + Progestin Trial, which randomized postmenopausal women with an intact uterus to receive daily conjugated equine estrogens, 0.625 mg, plus medroxyprogesterone acetate, 2.5 mg (n&nbsp;=&nbsp;8506), or placebo (n&nbsp;=&nbsp;8102). At baseline and annually, participants underwent mammography and clinical breast examination. Self-reported breast tenderness was assessed at baseline and at 12 months. The incidence of invasive breast cancer was confirmed by medical record review (mean follow-up of 5.6 years).</p>
<p><b>Results&nbsp;</b> Of women without baseline breast tenderness (n&nbsp;=&nbsp;14&nbsp;538), significantly more assigned to receive conjugated equine estrogens plus medroxyprogesterone vs placebo experienced new-onset breast tenderness after 12 months (36.1% vs 11.8%, <I>P</I>&nbsp;&lt;&nbsp;.001). Of women in the conjugated equine estrogens plus medroxyprogesterone group, breast cancer risk was significantly higher in those with new-onset breast tenderness compared with those without (hazard ratio, 1.48; 95% confidence interval, 1.08-2.03; <I>P</I>&nbsp;=&nbsp;.02). In the placebo group, breast cancer risk was not significantly associated with new-onset breast tenderness (<I>P</I>&nbsp;=&nbsp;.97).</p>
<p><b>Conclusions&nbsp;</b> New-onset breast tenderness during conjugated equine estrogens plus medroxyprogesterone therapy was associated with increased breast cancer risk. The sensitivity and specificity of the association between breast tenderness and breast cancer were similar in magnitude to those of the Gail model.</p>
<p><b>Trial Registration&nbsp;</b> clinicaltrials.gov Identifier: <inter-ref locator-type="url" locator="http://clinicaltrials.gov/show/NCT00000611">NCT00000611</inter-ref></p>
]]></description>
<dc:creator><![CDATA[Crandall, C. J., Aragaki, A. K., Chlebowski, R. T., McTiernan, A., Anderson, G., Hendrix, S. L., Cochrane, B. B., Kuller, L. H., Cauley, J. A.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Oncology, Breast Cancer, Women's Health, Menopause, Drug Therapy, Adverse Effects]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.303</dc:identifier>
<dc:title><![CDATA[New-Onset Breast Tenderness After Initiation of Estrogen Plus Progestin Therapy and Breast Cancer Risk [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1691</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1684</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1692?rss=1">
<title><![CDATA[Medical and Psychosocial Diagnoses in Women With a History of Intimate Partner Violence [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1692?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> We characterized the relative risk of a wide range of diagnoses in women with a history of intimate partner violence (IPV) compared with never-abused women.</p>
<p><b>Methods&nbsp;</b> The sample comprised 3568 English-speaking women who were randomly sampled from a large US health plan and who agreed to participate in a telephone survey to assess past-year IPV history using questions from the Behavioral Risk Factor Surveillance System (physical, sexual, and psychological abuse) and the Women's Experience with Battering Scale. Medical and psychosocial diagnoses in the past year were determined using automated data from health plan records. We estimated the relative risk of receiving diagnoses for women with a past-year IPV history compared with women with no IPV history.</p>
<p><b>Results&nbsp;</b> In age-adjusted models, compared with never-abused women, abused women had consistently significantly increased relative risks of these disorders: psychosocial/mental (substance use, 5.89; family and social problems, 4.96; depression, 3.26; anxiety/neuroses, 2.73; tobacco use, 2.31); musculoskeletal (degenerative joint disease, 1.71; low back pain, 1.61; trauma-related joint disorders, 1.59; cervical pain, 1.54; acute sprains and strains, 1.35); and female reproductive (menstrual disorders, 1.84; vaginitis/vulvitis/cervicitis, 1.56). Abused women had a more than 3-fold increased risk of being diagnosed with a sexually transmitted disease (3.15) and a 2-fold increased risk of lacerations (2.17) as well as increased risk of acute respiratory tract infection (1.33), gastroesophageal reflux disease (1.76), chest pain (1.53), abdominal pain (1.48), urinary tract infections (1.79), headaches (1.57), and contusions/abrasions (1.72).</p>
<p><b>Conclusion&nbsp;</b> Past-year IPV history was strongly associated with a variety of medical and psychosocial conditions observed in clinical settings.</p>
]]></description>
<dc:creator><![CDATA[Bonomi, A. E., Anderson, M. L., Reid, R. J., Rivara, F. P., Carrell, D., Thompson, R. S.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Patient-Physician Relationship/ Care, Psychosocial Issues, Violence and Human Rights, Violence and Human Rights, Other, Women's Health, Women's Health, Other, Diagnosis]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.292</dc:identifier>
<dc:title><![CDATA[Medical and Psychosocial Diagnoses in Women With a History of Intimate Partner Violence [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1697</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1692</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1698?rss=1">
<title><![CDATA[Neighborhood Resources for Physical Activity and Healthy Foods and Incidence of Type 2 Diabetes Mellitus: The Multi-Ethnic Study of Atherosclerosis [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1698?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Despite increasing interest in the extent to which features of residential environments contribute to incidence of type 2 diabetes mellitus, no multisite prospective studies have investigated this question. We hypothesized that neighborhood resources supporting physical activity and healthy diets are associated with a lower incidence of type 2 diabetes.</p>
<p><b>Methods&nbsp;</b> Person-level data came from 3 sites of the Multi-Ethnic Study of Atherosclerosis, a population-based, prospective study of adults aged 45 to 84 years at baseline. Neighborhood data were derived from a population-based residential survey. Type 2 diabetes was defined as a fasting glucose level of 126 mg/dL or higher (&ge;7 mmol/L) or taking insulin or oral hypoglycemic agents. We estimated the hazard ratio of type 2 diabetes incidence associated with neighborhood (US Census tract) resources.</p>
<p><b>Results&nbsp;</b> Among 2285 participants, 233 new type 2 diabetes cases occurred during a median of 5 follow-up years. Better neighborhood resources, determined by a combined score for physical activity and healthy foods, were associated with a 38% lower incidence of type 2 diabetes (hazard ratio corresponding to a difference between the 90th and 10th percentiles for resource distribution, 0.62; 95% confidence interval, 0.43-0.88 adjusted for age, sex, family history of diabetes, race/ethnicity, income, assets, educational level, alcohol use, and smoking status). The association remained statistically significant after further adjustment for individual dietary factors, physical activity level, and body mass index.</p>
<p><b>Conclusion&nbsp;</b> Better neighborhood resources were associated with lower incidence of type 2 diabetes, which suggests that improving environmental features may be a viable population-level strategy for addressing this disease.</p>
]]></description>
<dc:creator><![CDATA[Auchincloss, A. H., Roux, A. V. D., Mujahid, M. S., Shen, M., Bertoni, A. G., Carnethon, M. R.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Public Health, Exercise, Cardiovascular System, Diet, Cardiovascular Disease/ Myocardial Infarction, Endocrine Diseases, Diabetes Mellitus]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.302</dc:identifier>
<dc:title><![CDATA[Neighborhood Resources for Physical Activity and Healthy Foods and Incidence of Type 2 Diabetes Mellitus: The Multi-Ethnic Study of Atherosclerosis [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1704</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1698</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1705?rss=1">
<title><![CDATA[Multistate Outbreak of Serratia marcescens Bloodstream Infections Caused by Contamination of Prefilled Heparin and Isotonic Sodium Chloride Solution Syringes [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1705?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> To investigate clusters of <I>Serratia marcescens</I> (SM) bloodstream infections (BSIs) at health care facilities in several states and determine whether contaminated prefilled heparin and isotonic sodium chloride solution (hereinafter, saline) syringes from a single manufacturer (company X) were the likely cause, we performed an outbreak investigation of inpatient and outpatient health care facilities from October 2007 through February 2008.</p>
<p><b>Methods&nbsp;</b> Active case finding for clusters of SM BSIs. Information on SM BSIs was obtained, and SM blood isolates were sent to the Centers for Disease Control and Prevention (CDC). Culture specimens were taken from various lots of prefilled heparin and saline syringes by health care facilities and the CDC to test for the presence of SM. The SM isolates from syringes and blood were compared by pulsed-field gel electrophoresis.</p>
<p><b>Results&nbsp;</b> A total of 162 SM BSIs in 9 states were reported among patients at facilities using prefilled heparin and/or saline syringes made by company X. Cultures of unopened prefilled heparin and saline syringes manufactured by company X grew SM. Of 83 SM blood isolates submitted to the CDC from 7 states, 70 (84%) were genetically related to the SM strain isolated from prefilled syringes. A US Food and Drug Administration inspection revealed that company X was not in compliance with quality system regulations.</p>
<p><b>Conclusions&nbsp;</b> A multistate outbreak of SM BSIs was associated with intrinsic contamination of prefilled syringes. Our investigation highlights important issues in medication safety, including (1) the importance of pursuing possible product-associated outbreaks suggested by strong epidemiologic data even when initial cultures of the suspected product show no contamination and (2) the challenges of medical product recalls when production has been outsourced from one company to another.</p>
]]></description>
<dc:creator><![CDATA[Blossom, D., Noble-Wang, J., Su, J., Pur, S., Chemaly, R., Shams, A., Jensen, B., Pascoe, N., Gullion, J., Casey, E., Hayden, M., Arduino, M., Budnitz, D. S., Raad, I., Trenholme, G., Srinivasan, A., for the  Serratia in Prefilled Syringes Investigation Team Group]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Bacterial Infections, Thrombolysis, Public Health, Cardiovascular System, Public Health, Other, Quality of Care, Patient Safety/ Medical Error, Drug Therapy, Adverse Effects, Hematology/ Hematologic Malignancies, Hematology, Other, Cardiovascular Intervention, Infectious Diseases]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.290</dc:identifier>
<dc:title><![CDATA[Multistate Outbreak of Serratia marcescens Bloodstream Infections Caused by Contamination of Prefilled Heparin and Isotonic Sodium Chloride Solution Syringes [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1711</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1705</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1712?rss=1">
<title><![CDATA[Impact of a Comanaged Geriatric Fracture Center on Short-term Hip Fracture Outcomes [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1712?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Hip fractures are associated with substantial morbidity and mortality for older adults. Patients sustaining hip fractures usually have comorbid conditions that may benefit from comanagement by geriatricians and orthopedic surgeons.</p>
<p><b>Methods&nbsp;</b> The Geriatric Fracture Center (GFC) is part of a community teaching hospital. Patients are comanaged daily by a geriatrician and orthopedic surgeon, emphasizing total quality management, timely treatment, and standardized care. We reviewed medical records to compare process and outcome measures in the GFC with a local institution that did not have a fracture management service. Patients 60 years or older admitted for a proximal femur fracture from May 1, 2005, to April 30, 2006, were included; pathological, recurrent, high-energy, periprosthetic, and nonoperative fractures were excluded.</p>
<p><b>Results&nbsp;</b> Geriatric Fracture Center patients (n&nbsp;=&nbsp;193) were significantly older, were less likely to reside in the community, and had more comorbid conditions and dementia than usual care patients (n&nbsp;=&nbsp;121). Despite baseline differences, GFC patients, compared with usual care patients, had shorter times to surgery (24.1 vs 37.4 hours), fewer postoperative infections (2.3% vs 19.8%), fewer complications overall (30.6% vs 46.3%), and shorter length of stay (4.6 vs 8.3 days). Compared with GFC patients, physical restraint use was significantly higher in usual care patients (0% vs 14.1%). After we adjusted for baseline characteristics, patients treated in the GFC had shorter times to surgery, shorter length of stay, fewer cardiac complications, and fewer cases of thromboembolism, delirium, and infection. There was no difference in in-hospital mortality or 30-day readmission rate.</p>
<p><b>Conclusion&nbsp;</b> Comanagement by geriatricians and orthopedic surgeons, combined with standardized care, leads to improved processes and outcomes for patients with hip fractures.</p>
]]></description>
<dc:creator><![CDATA[Friedman, S. M., Mendelson, D. A., Bingham, K. W., Kates, S. L.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Aging/ Geriatrics, Medical Practice, Medical Practice, Other, Surgery, Surgical Interventions, Orthopedic Surgery, Prognosis/ Outcomes]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.321</dc:identifier>
<dc:title><![CDATA[Impact of a Comanaged Geriatric Fracture Center on Short-term Hip Fracture Outcomes [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1717</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1712</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1718?rss=1">
<title><![CDATA[Trends in Medication Use Among US Adults With Diabetes Mellitus: Glycemic Control at the Expense of Controlling Cardiovascular Risk Factors [Research Letters]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1718?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Mann, D. M., Woodward, M., Ye, F., Krousel-Wood, M., Muntner, P.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Nutritional and Metabolic Disorders, Lipids and Lipid Disorders, Nutritional and Metabolic Disorders, Other, Cardiovascular System, Cardiovascular Disease/ Myocardial Infarction, Drug Therapy, Drug Therapy, Other, Endocrine Diseases, Diabetes Mellitus, Hypertension]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.296</dc:identifier>
<dc:title><![CDATA[Trends in Medication Use Among US Adults With Diabetes Mellitus: Glycemic Control at the Expense of Controlling Cardiovascular Risk Factors [Research Letters]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1720</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1718</prism:startingPage>
<prism:section>Research Letters</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1720?rss=1">
<title><![CDATA[Population-Based Surveillance of Infectious Endocarditis in an Italian Region [Research Letters]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1720?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Scudeller, L., Badano, L., Crapis, M., Pagotto, A., Viale, P.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Bacterial Infections, Cardiovascular System, Surgery, Surgical Interventions, Cardiovascular/ Cardiothoracic Surgery, Cardiovascular Disease/ Myocardial Infarction, Congestive Heart Failure/ Cardiomyopathy, Infectious Diseases]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.307</dc:identifier>
<dc:title><![CDATA[Population-Based Surveillance of Infectious Endocarditis in an Italian Region [Research Letters]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1723</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1720</prism:startingPage>
<prism:section>Research Letters</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1723?rss=1">
<title><![CDATA[Pharmacists Are Key to Enhancing Benefit Risk for Medicines [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1723?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Banerjee, A. K.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Quality of Care, Patient Safety/ Medical Error, Quality of Care, Other, Drug Therapy, Adverse Effects, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.345</dc:identifier>
<dc:title><![CDATA[Pharmacists Are Key to Enhancing Benefit Risk for Medicines [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1723</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1723</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1723-a?rss=1">
<title><![CDATA[Pharmacists Are Key to Enhancing Benefit Risk for Medicines--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1723-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Murray, M. D.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Quality of Care, Patient Safety/ Medical Error, Quality of Care, Other, Drug Therapy, Adverse Effects, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.346</dc:identifier>
<dc:title><![CDATA[Pharmacists Are Key to Enhancing Benefit Risk for Medicines--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1724</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1723</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1724?rss=1">
<title><![CDATA[Adverse Events in Patients Receiving Cholinesterase Inhibitors Due to Dissimilar Follow-up Periods [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1724?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Chan, M.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Aging/ Geriatrics, Neurology, Alzheimer Disease, Dementias, Psychiatry, Psychopharmacology, Cardiovascular System, Surgery, Orthopedic Surgery, Arrhythmias, Drug Therapy, Adverse Effects]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.347</dc:identifier>
<dc:title><![CDATA[Adverse Events in Patients Receiving Cholinesterase Inhibitors Due to Dissimilar Follow-up Periods [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1724</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1724</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1724-a?rss=1">
<title><![CDATA[Adverse Events in Patients Receiving Cholinesterase Inhibitors Due to Dissimilar Follow-up Periods--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1724-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Gill, S. S., Bell, C. M., Rochon, P. A.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Aging/ Geriatrics, Neurology, Alzheimer Disease, Dementias, Psychiatry, Psychopharmacology, Cardiovascular System, Surgery, Orthopedic Surgery, Arrhythmias, Drug Therapy, Adverse Effects]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.348</dc:identifier>
<dc:title><![CDATA[Adverse Events in Patients Receiving Cholinesterase Inhibitors Due to Dissimilar Follow-up Periods--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1725</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1724</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/18/1725?rss=1">
<title><![CDATA[Are We Providers or Physicians? [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/18/1725?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Baxter, J. D.]]></dc:creator>
<dc:date>Mon, 12 Oct 2009 12:51:40 PDT</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Ethics, Drug Therapy, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.349</dc:identifier>
<dc:title><![CDATA[Are We Providers or Physicians? [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>18</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1725</prism:endingPage>
<prism:publicationDate>2009-10-12</prism:publicationDate>
<prism:startingPage>1725</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1548?rss=1">
<title><![CDATA[About This Journal [About This Journal]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1548?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:title><![CDATA[About This Journal [About This Journal]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1548</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1548</prism:startingPage>
<prism:section>About This Journal</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1550?rss=1">
<title><![CDATA[In This Issue of Archives of Internal Medicine [In This Issue of Archives of Internal Medicine]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1550?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:identifier>info:doi/10.1001/archinternmed.2009.288</dc:identifier>
<dc:title><![CDATA[In This Issue of Archives of Internal Medicine [In This Issue of Archives of Internal Medicine]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1550</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1550</prism:startingPage>
<prism:section>In This Issue of Archives of Internal Medicine</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1551?rss=1">
<title><![CDATA[Patient-Centered Care: What Is the Best Measuring Stick? [Editorial]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1551?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Lin, G. A., Dudley, R. A.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Medical Practice, Medical Practice, Other, Patient-Physician Relationship/ Care, Patient-Physician Communication, Quality of Care, Quality of Care, Other, Health Care Reform, Drug Therapy, Drug Therapy, Other, Endocrine Diseases, Diabetes Mellitus]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.299</dc:identifier>
<dc:title><![CDATA[Patient-Centered Care: What Is the Best Measuring Stick? [Editorial]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1553</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1551</prism:startingPage>
<prism:section>Editorial</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1554?rss=1">
<title><![CDATA[Weighing the Benefits and Downsides of Prostate-Specific Antigen Screening [Editorial]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1554?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Pignone, M.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Men's Health, Prostate Disease, Oncology, Prostate Cancer, Quality of Care, Patient Safety/ Medical Error, Diagnosis, Health Care Reform]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.269</dc:identifier>
<dc:title><![CDATA[Weighing the Benefits and Downsides of Prostate-Specific Antigen Screening [Editorial]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1556</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1554</prism:startingPage>
<prism:section>Editorial</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1557?rss=1">
<title><![CDATA[Shared Decision Making for Prostate Cancer Screening: Do Patients or Clinicians Have a Choice? [Editorial]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1557?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Woolf, S. H., Krist, A.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Men's Health, Prostate Disease, Men's Health, Other, Oncology, Prostate Cancer, Patient-Physician Relationship/ Care, Patient-Physician Communication, Health Care Reform]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.291</dc:identifier>
<dc:title><![CDATA[Shared Decision Making for Prostate Cancer Screening: Do Patients or Clinicians Have a Choice? [Editorial]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1559</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1557</prism:startingPage>
<prism:section>Editorial</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1560?rss=1">
<title><![CDATA[The Diabetes Mellitus Medication Choice Decision Aid: A Randomized Trial [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1560?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Patient involvement in the choice of antihyperglycemic agents could improve adherence and optimize glycemic control in patients with type 2 diabetes mellitus.</p>
<p><b>Methods&nbsp;</b> We conducted a pilot, cluster randomized trial of Diabetes Medication Choice, a decision aid that describes 5 antihyperglycemic drugs, their treatment burden (adverse effects, administration, and self-monitoring demands), and impact on hemoglobin A<SUB>1c</SUB> (HbA<SUB>1c</SUB>) levels. Twenty-one clinicians were randomized to use the decision aid during the clinical encounter and 19 to dispense usual care and an educational pamphlet. We used surveys and video analysis to assess postvisit decisional outcomes, and medical and pharmacy records to assess 6-month medication adherence and HbA<SUB>1c</SUB> levels.</p>
<p><b>Results&nbsp;</b> Compared with usual care patients (n&nbsp;=&nbsp;37), patients receiving the decision aid (n&nbsp;=&nbsp;48) found the tool more helpful (clustered-adjusted mean difference [AMD] in a 7-point scale, 0.38; 95% confidence interval [CI], 0.04-0.72); had improved knowledge (AMD, 1.10 of 10 questions; 95% CI, 0.11-2.09); and had more involvement in making decisions about diabetes medications (AMD, 21.8 of 100; 95% CI, 13.0-30.5). At 6-month follow-up, both groups had nearly perfect medication use (median, 100% of days covered), with better adherence (AMD, 9% more days covered; 95% CI, 4%-14%) and persistence (AMD, 12 more days covered; 95% CI, 3-21 days) in the usual care group, and no significant impact on HbA<SUB>1c</SUB> levels (AMD, 0.01; 95% CI, &ndash;0.49 to 0.50).</p>
<p><b>Conclusion&nbsp;</b> An innovative decision aid effectively involved patients with type 2 diabetes mellitus in decisions about their medications but did not improve adherence or HbA<SUB>1c</SUB> levels.</p>
<p><b>Trial Registration&nbsp;</b> clinicaltrials.gov Identifier: <inter-ref locator-type="url" locator="http://clinicaltrials.gov/show/NCT00388050">NCT00388050</inter-ref></p>
]]></description>
<dc:creator><![CDATA[Mullan, R. J., Montori, V. M., Shah, N. D., Christianson, T. J. H., Bryant, S. C., Guyatt, G. H., Perestelo-Perez, L. I., Stroebel, R. J., Yawn, B. P., Yapuncich, V., Breslin, M. A., Pencille, L., Smith, S. A.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Patient-Physician Relationship/ Care, Patient-Physician Communication, Randomized Controlled Trial, Health Care Reform, Drug Therapy, Drug Therapy, Other, Endocrine Diseases, Diabetes Mellitus]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.293</dc:identifier>
<dc:title><![CDATA[The Diabetes Mellitus Medication Choice Decision Aid: A Randomized Trial [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1568</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1560</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1568?rss=1">
<title><![CDATA[Error in Abstract and Introductory Paragraph of the Main Article in: Outcomes Associated With Tiotropium Use in Patients With Chronic Obstructive Pulmonary Disease [Correction]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1568?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Pulmonary Diseases, Chronic Obstructive Pulmonary Disease, Drug Therapy, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.311</dc:identifier>
<dc:title><![CDATA[Error in Abstract and Introductory Paragraph of the Main Article in: Outcomes Associated With Tiotropium Use in Patients With Chronic Obstructive Pulmonary Disease [Correction]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1568</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1568</prism:startingPage>
<prism:section>Correction</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1569?rss=1">
<title><![CDATA[Hospital at Home for Elderly Patients With Acute Decompensation of Chronic Heart Failure: A Prospective Randomized Controlled Trial [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1569?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Although the hospital is the standard venue for short-term medical care, it may be hazardous for older persons. This study was performed to evaluate the feasibility and effectiveness of a physician-led hospital-at-home service for selected elderly patients with acute decompensation of chronic heart failure (CHF).</p>
<p><b>Methods&nbsp;</b> Prospective, single-blind, randomized controlled trial with 6-month follow-up for patients 75 years or older admitted to the hospital from April 1, 2004, through April 31, 2005, for acute decompensation of CHF. Patients were randomly assigned to the general medical ward (n&nbsp;=&nbsp;53) or to the Geriatric Home Hospitalization Service (GHHS; n&nbsp;=&nbsp;48). The GHHS provides diagnostic and therapeutic treatments by hospital health care professionals in the home of the patient.</p>
<p><b>Results&nbsp;</b> Patient mortality at 6 months was 15% in the total sample, without significant differences between the 2 settings of care. The number of subsequent hospital admissions was not statistically different in the 2 groups, but the mean (SD) time to first additional admission was longer for the GHHS patients (84.3&nbsp;[22.2] days vs 69.8&nbsp;[36.2] days, <I>P</I>&nbsp;=&nbsp;.02). Only the GHHS patients experienced improvements in depression, nutritional status, and quality-of-life scores.</p>
<p><b>Conclusions&nbsp;</b> Substitutive hospital-at-home care is a viable alternative to traditional hospital inpatient care for elderly patients with acutely decompensated CHF. This type of care demonstrated clinical feasibility and efficacy in comparison with its alternative.</p>
<p><b>Trial Registration&nbsp;</b> clinicaltrials.gov Identifier: <inter-ref locator-type="url" locator="http://clinicaltrials.gov/show/NCT00623571">NCT00623571</inter-ref></p>
]]></description>
<dc:creator><![CDATA[Tibaldi, V., Isaia, G., Scarafiotti, C., Gariglio, F., Zanocchi, M., Bo, M., Bergerone, S., Ricauda, N. A.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Aging/ Geriatrics, Medical Practice, Medical Practice, Other, Cardiovascular System, Quality of Care, Patient Safety/ Medical Error, Randomized Controlled Trial, Health Care Reform, Congestive Heart Failure/ Cardiomyopathy]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.267</dc:identifier>
<dc:title><![CDATA[Hospital at Home for Elderly Patients With Acute Decompensation of Chronic Heart Failure: A Prospective Randomized Controlled Trial [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1575</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1569</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1576?rss=1">
<title><![CDATA[Improvement of Hospital Care of Elderly Patients: Thinking Outside the (Hospital) Box: Comment on "Hospital at Home for Elderly Patients With Acute Decompensation of Chronic Heart Failure" [Invited Commentary]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1576?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Kao, H., Walter, L. C.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Aging/ Geriatrics, Medical Practice, Medical Practice, Other, Cardiovascular System, Quality of Care, Patient Safety/ Medical Error, Randomized Controlled Trial, Health Care Reform, Congestive Heart Failure/ Cardiomyopathy]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.268</dc:identifier>
<dc:title><![CDATA[Improvement of Hospital Care of Elderly Patients: Thinking Outside the (Hospital) Box: Comment on "Hospital at Home for Elderly Patients With Acute Decompensation of Chronic Heart Failure" [Invited Commentary]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1577</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1576</prism:startingPage>
<prism:section>Invited Commentary</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1578?rss=1">
<title><![CDATA[Timely Follow-up of Abnormal Diagnostic Imaging Test Results in an Outpatient Setting: Are Electronic Medical Records Achieving Their Potential? [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1578?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Given the fragmentation of outpatient care, timely follow-up of abnormal diagnostic imaging results remains a challenge. We hypothesized that an electronic medical record (EMR) that facilitates the transmission and availability of critical imaging results through either automated notification (alerting) or direct access to the primary report would eliminate this problem.</p>
<p><b>Methods&nbsp;</b> We studied critical imaging alert notifications in the outpatient setting of a tertiary care Department of Veterans Affairs facility from November 2007 to June 2008. Tracking software determined whether the alert was acknowledged (ie, health care practitioner/provider [HCP] opened the message for viewing) within 2 weeks of transmission; acknowledged alerts were considered read. We reviewed medical records and contacted HCPs to determine timely follow-up actions (eg, ordering a follow-up test or consultation) within 4 weeks of transmission. Multivariable logistic regression models accounting for clustering effect by HCPs analyzed predictors for 2 outcomes: lack of acknowledgment and lack of timely follow-up.</p>
<p><b>Results&nbsp;</b> Of 123&nbsp;638 studies (including radiographs, computed tomographic scans, ultrasonograms, magnetic resonance images, and mammograms), 1196 images (0.97%) generated alerts; 217 (18.1%) of these were unacknowledged. Alerts had a higher risk of being unacknowledged when the ordering HCPs were trainees (odds ratio [OR], 5.58; 95% confidence interval [CI], 2.86-10.89) and when dual-alert (>1 HCP alerted) as opposed to single-alert communication was used (OR, 2.02; 95% CI, 1.22-3.36). Timely follow-up was lacking in 92 (7.7% of all alerts) and was similar for acknowledged and unacknowledged alerts (7.3% vs 9.7%; <I>P</I>&nbsp;=&nbsp;.22). Risk for lack of timely follow-up was higher with dual-alert communication (OR, 1.99; 95% CI, 1.06-3.48) but lower when additional verbal communication was used by the radiologist (OR, 0.12; 95% CI, 0.04-0.38). Nearly all abnormal results lacking timely follow-up at 4 weeks were eventually found to have measurable clinical impact in terms of further diagnostic testing or treatment.</p>
<p><b>Conclusions&nbsp;</b> Critical imaging results may not receive timely follow-up actions even when HCPs receive and read results in an advanced, integrated electronic medical record system. A multidisciplinary approach is needed to improve patient safety in this area.</p>
]]></description>
<dc:creator><![CDATA[Singh, H., Thomas, E. J., Mani, S., Sittig, D., Arora, H., Espadas, D., Khan, M. M., Petersen, L. A.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Informatics/ Internet in Medicine, Informatics, Other, Patient-Physician Relationship/ Care, Patient-Physician Communication, Radiologic Imaging, Diagnosis, Radiologic Imaging, Other, Health Care Reform]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.263</dc:identifier>
<dc:title><![CDATA[Timely Follow-up of Abnormal Diagnostic Imaging Test Results in an Outpatient Setting: Are Electronic Medical Records Achieving Their Potential? [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1586</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1578</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1587?rss=1">
<title><![CDATA[Risk of Hyperkalemia in Nondiabetic Patients With Chronic Kidney Disease Receiving Antihypertensive Therapy [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1587?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> The incidence and factors associated with hyperkalemia in patients with chronic kidney disease (CKD) treated with angiotensin converting enzyme inhibitors (ACEIs) and other antihypertensive drugs was investigated using the African American Study of Kidney Disease and Hypertension (AASK) database.</p>
<p><b>Methods&nbsp;</b> A total of 1094 nondiabetic adults with hypertensive CKD (glomerular filtration rate [GFR], 20-65 mL/min/1.73 m<sup>2</sup>) were followed for 3.0 to 6.4 years in the AASK trial. Participants were randomly assigned to ACEI, &beta;-blocker (BB), or dihydropyridine calcium channel blocker (CCB). The outcome variables for this analysis were a serum potassium level higher than 5.5 mEq/L (to convert to millimoles per liter, multiply by 1.0), or a clinical center initiated hyperkalemia stop point.</p>
<p><b>Results&nbsp;</b> A total of 6497 potassium measurements were obtained, and 80 events in 51 subjects were identified (76 events driven by a central laboratory result and 4 driven by a clinical center&ndash;initiated hyperkalemia stop point). Compared with a GFR higher than 50 mL/min/1.73 m<sup>2</sup>, after multivariable adjustment, the hazard ratio (HR) for hyperkalemia in patients with a GFR between 31 and 40 mL/min/1.73 m<sup>2</sup> and a GFR lower than 30 mL/min/1.73 m<sup>2</sup> was 3.61 (95% confidence interval [CI], 1.42-9.18 [<I>P</I>&nbsp;=&nbsp;.007]) and 6.81 (95% CI, 2.67-17.35 [<I>P</I>&nbsp;&lt;&nbsp;.001]), respectively; there was no increased risk of hyperkalemia if GFR was 41 to 50 mL/min/1.73 m<sup>2</sup>. Use of ACEIs was associated with more episodes of hyperkalemia compared with CCB use (HR, 7.00; 95% CI, 2.29-21.39 [<I>P</I>&nbsp;&lt;&nbsp;.001]) and BB group (HR, 2.85; 95% CI, 1.50-5.42 [<I>P</I>&nbsp;=&nbsp;.001]). Diuretic use was associated with a 59% decreased risk of hyperkalemia.</p>
<p><b>Conclusions&nbsp;</b> In nondiabetic patients with hypertensive CKD treated with ACEIs, the risk of hyperkalemia is small, particularly if baseline and follow-up GFR is higher than 40 mL/min/1.73 m<sup>2</sup>. Including a diuretic in the regimen may markedly reduce risk of hyperkalemia.</p>
]]></description>
<dc:creator><![CDATA[Weinberg, J. M., Appel, L. J., Bakris, G., Gassman, J. J., Greene, T., Kendrick, C. A., Wang, X., Lash, J., Lewis, J. A., Pogue, V., Thornley-Brown, D., Phillips, R. A., for the African American Study of Hypertension and Kidney Disease Collaborative Research Group]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Renal Diseases, Renal Diseases, Other, Drug Therapy, Adverse Effects, Drug Therapy, Other, Hypertension]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.284</dc:identifier>
<dc:title><![CDATA[Risk of Hyperkalemia in Nondiabetic Patients With Chronic Kidney Disease Receiving Antihypertensive Therapy [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1594</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1587</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1595?rss=1">
<title><![CDATA[Mortality and Need for Mechanical Ventilation in Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Development and Validation of a Simple Risk Score [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1595?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Acute exacerbations of chronic obstructive pulmonary disease (AECOPDs) often require hospitalization, may necessitate mechanical ventilation, and can be fatal. We sought to develop a simple risk score to determine its severity.</p>
<p><b>Methods&nbsp;</b> We analyzed 88&nbsp;074 subjects admitted with an AECOPD between 2004 and 2006. We used recursive partition to create risk classifications for in-hospital mortality. Need for mechanical ventilation served as a secondary end point. We internally validated the model via 1000 bootstrapping on half of patients and externally validated it on the remaining patients. We assessed predictive ability using the area under the receiver operating curve (AUROC).</p>
<p><b>Results&nbsp;</b> The in-hospital mortality rate was 2%. Three variables had high discrimination of outcomes: serum urea nitrogen level greater than 25 mg/dL (to convert to millimoles per liter, multiply by 0.357); acute mental status change, and pulse greater than 109/min. For those without any of the 3 factors, age 65 years or younger further differentiated the lowest-risk group. In those with all 3 factors, the mortality rates were 13.1% (131 in 1000) and 14.6% (146 in 1000) in the derivation and validation cohorts, respectively, compared with 0.3% (3 in 1000) in both cohorts among patients without any of the 3 factors and age 65 years or younger (<I>P</I>&nbsp;&lt;&nbsp;.001). The AUROC for mortality in the 2 cohorts were 0.72 (95% confidence interval [CI], 0.70-0.74) and 0.71 (95% CI, 0.70-0.73), respectively. For mechanical ventilation, the AUROCs were 0.77 (95% CI, 0.75-0.79) for both cohorts.</p>
<p><b>Conclusions&nbsp;</b> A simple risk class based on clinical variables easily obtained at presentation predicts mortality and need for mechanical ventilation. It may facilitate the triage and care of patients with AECOPD.</p>
]]></description>
<dc:creator><![CDATA[Tabak, Y. P., Sun, X., Johannes, R. S., Gupta, V., Shorr, A. F.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Critical Care/ Intensive Care Medicine, Adult Critical Care, Pulmonary Diseases, Chronic Obstructive Pulmonary Disease, Prognosis/ Outcomes]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.270</dc:identifier>
<dc:title><![CDATA[Mortality and Need for Mechanical Ventilation in Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Development and Validation of a Simple Risk Score [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1602</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1595</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1603?rss=1">
<title><![CDATA[A Model of Prostate-Specific Antigen Screening Outcomes for Low- to High-Risk Men: Information to Support Informed Choices [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1603?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Information is needed to aid individual decision making about prostate-specific antigen (PSA) screening.</p>
<p><b>Methods&nbsp;</b> We aimed to provide such information for men aged 40, 50, 60, and 70 years at low, moderate, and high risk for prostate cancer. A Markov model compared patients with vs without annual PSA screening using a 20% relative risk (RR) reduction (RR&nbsp;=&nbsp;0.8) in prostate cancer mortality as a best-case scenario. The model estimated numbers of biopsies, prostate cancers, and deaths from prostate cancer per 1000 men over 10 years and cumulated to age 85 years.</p>
<p><b>Results&nbsp;</b> Benefits and harms vary substantially with age and familial risk. Using 60-year-old men with low risk as an example, of 1000 men screened annually, we estimate that 115 men will undergo biopsy triggered by an abnormal PSA screen result and that 53 men will be diagnosed as having prostate cancer over 10 years compared with 23 men diagnosed as having prostate cancer among 1000 unscreened men. Among screened men, 3.5 will die of prostate cancer over 10 years compared with 4.4 deaths in unscreened men. For 1000 men screened from 40 to 69 years of age, there will be 27.9 prostate cancer deaths and 639.5 deaths overall by age 85 years compared with 29.9 prostate cancer deaths and 640.4 deaths overall in unscreened men. Higher-risk men have more prostate cancer deaths averted but also more prostate cancers diagnosed and related harms.</p>
<p><b>Conclusions&nbsp;</b> Men should be informed of the likely benefits and harms of PSA screening. These estimates can be used to support individual decision making.</p>
]]></description>
<dc:creator><![CDATA[Howard, K., Barratt, A., Mann, G. J., Patel, M. I.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Men's Health, Prostate Disease, Oncology, Prostate Cancer, Patient-Physician Relationship/ Care, Patient-Physician Communication, Quality of Care, Patient Safety/ Medical Error, Diagnosis, Health Care Reform]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.282</dc:identifier>
<dc:title><![CDATA[A Model of Prostate-Specific Antigen Screening Outcomes for Low- to High-Risk Men: Information to Support Informed Choices [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1610</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1603</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1611?rss=1">
<title><![CDATA[Prostate Cancer Screening Decisions: Results From the National Survey of Medical Decisions (DECISIONS Study) [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1611?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> Guidelines recommend informing patients about the risks and benefits of prostate cancer screening. We evaluated the medical decision-making process for prostate-specific antigen (PSA) testing.</p>
<p><b>Methods&nbsp;</b> We conducted a telephone survey of a randomly selected national sample of 3010 English-speaking US adults 40 years and older. Included in the survey were 375 men who had either undergone or discussed (with health care providers [HCPs]) PSA testing in the previous 2 years. We asked subjects about sociodemographic characteristics, prostate cancer screening discussion features, prostate cancer knowledge, and the importance of various decision factors and sources of information.</p>
<p><b>Results&nbsp;</b> Overall, 69.9% of subjects discussed screening before making a testing decision, including 14.4% who were not tested. Health care providers most often (64.6%) raised the idea of screening, and 73.4% recommended PSA testing. Health care providers emphasized the pros of testing in 71.4% of discussions but infrequently addressed the cons (32.0%). Although 58.0% of subjects felt well-informed about PSA testing, 47.8% failed to correctly answer any of the 3 knowledge questions. Only 54.8% of subjects reported being asked for their screening preferences. An HCP recommendation (odds ratio, 2.67; 95% confidence interval, 1.08-6.58) was the only discussion characteristic associated with testing. Valuing HCP information was also associated with testing (odds ratio, 1.26; 95% confidence interval, 1.04-1.54).</p>
<p><b>Conclusions&nbsp;</b> Recommendations and information from HCPs strongly influenced testing decisions. However, most prostate cancer screening decisions did not meet criteria for shared decision making because subjects did not receive balanced discussions of decision consequences, had limited knowledge, and were not routinely asked for their preferences.</p>
]]></description>
<dc:creator><![CDATA[Hoffman, R. M., Couper, M. P., Zikmund-Fisher, B. J., Levin, C. A., McNaughton-Collins, M., Helitzer, D. L., VanHoewyk, J., Barry, M. J.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Men's Health, Prostate Disease, Men's Health, Other, Oncology, Prostate Cancer, Patient-Physician Relationship/ Care, Patient-Physician Communication, Health Care Reform]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.262</dc:identifier>
<dc:title><![CDATA[Prostate Cancer Screening Decisions: Results From the National Survey of Medical Decisions (DECISIONS Study) [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1618</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1611</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1619?rss=1">
<title><![CDATA[A Randomized Study on the Effect of Weight Loss on Obstructive Sleep Apnea Among Obese Patients With Type 2 Diabetes: The Sleep AHEAD Study [Original Investigation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1619?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> The belief that weight loss improves obstructive sleep apnea (OSA) has limited empirical support. The purpose of this 4-center study was to assess the effects of weight loss on OSA over a 1-year period.</p>
<p><b>Methods&nbsp;</b> The study included 264 participants with type 2 diabetes and a mean (SD) age of 61.2 (6.5) years, weight of 102.4 (18.3) kg, body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) of 36.7 (5.7), and an apnea-hypopnea index (AHI) of 23.2 (16.5) events per hour. The participants were randomly assigned to either a behavioral weight loss program developed specifically for obese patients with type 2 diabetes (intensive lifestyle intervention [ILI]) or 3 group sessions related to effective diabetes management (diabetes support and education [DSE]).</p>
<p><b>Results&nbsp;</b> The ILI participants lost more weight at 1 year than did DSE participants (10.8 kg vs 0.6 kg; <I>P</I>&nbsp;&lt;&nbsp;.001). Relative to the DSE group, the ILI intervention was associated with an adjusted (SE) decrease in AHI of 9.7 (2.0) events per hour (<I>P</I>&nbsp;&lt;&nbsp;.001). At 1 year, more than 3 times as many participants in the ILI group than in the DSE group had total remission of their OSA, and the prevalence of severe OSA among ILI participants was half that of the DSE group. Initial AHI and weight loss were the strongest predictors of changes in AHI at 1 year (<I>P</I>&nbsp;&lt;&nbsp;.01). Participants with a weight loss of 10 kg or more had the greatest reductions in AHI.</p>
<p><b>Conclusions&nbsp;</b> Physicians and their patients can expect that weight loss will result in significant and clinically relevant improvements in OSA among obese patients with type 2 diabetes.</p>
<p><b>Trial Registration&nbsp;</b> clinicaltrials.gov Identifier: <inter-ref locator-type="url" locator="http://clinicaltrials.gov/show/NCT00194259">NCT00194259</inter-ref></p>
]]></description>
<dc:creator><![CDATA[Foster, G. D., Borradaile, K. E., Sanders, M. H., Millman, R., Zammit, G., Newman, A. B., Wadden, T. A., Kelley, D., Wing, R. R., Pi-Sunyer, F. X., Reboussin, D., Kuna, S. T., for the Sleep AHEAD Research Group of the Look AHEAD Research Group]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Otolaryngology/ Head & Neck Surgery, Sleep Apnea, Public Health, Obesity, Randomized Controlled Trial, Endocrine Diseases, Diabetes Mellitus]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.266</dc:identifier>
<dc:title><![CDATA[A Randomized Study on the Effect of Weight Loss on Obstructive Sleep Apnea Among Obese Patients With Type 2 Diabetes: The Sleep AHEAD Study [Original Investigation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1626</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1619</prism:startingPage>
<prism:section>Original Investigation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1626?rss=1">
<title><![CDATA[Errors in Contributions in: Frequency of Failure to Inform Patients of Clinically Significant Outpatient Test Results [Correction]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1626?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Patient-Physician Relationship/ Care, Patient-Physician Communication, Quality of Care, Patient Safety/ Medical Error, Diagnosis]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.256</dc:identifier>
<dc:title><![CDATA[Errors in Contributions in: Frequency of Failure to Inform Patients of Clinically Significant Outpatient Test Results [Correction]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1626</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1626</prism:startingPage>
<prism:section>Correction</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1627?rss=1">
<title><![CDATA[Clinicians' Assessments of Electronic Medication Safety Alerts in Ambulatory Care [Clinical Observation]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1627?rss=1</link>
<description><![CDATA[
<p><b>Background&nbsp;</b> While electronic prescribing (e-prescribing) systems with drug interaction and allergy alerts promise to improve medication safety in ambulatory care, clinicians often override these safety features. We undertook a study of respondents' satisfaction with e-prescribing systems, their perceptions of alerts, and their perceptions of behavior changes resulting from alerts.</p>
<p><b>Methods&nbsp;</b> Random sample survey of 300 Massachusetts ambulatory care clinicians who used a commercial e-prescribing system.</p>
<p><b>Results&nbsp;</b> A total of 184 respondents completed the survey (61%). Respondents indicated that e-prescribing improved the quality of care delivered (78%), prevented medical errors (83%), and enhanced patient satisfaction (71%) and clinician efficiency (75%). In addition, 35% of prescribers said that electronic alerts caused them to modify a potentially dangerous prescription in the last 30 days. They suggested that alerts also led to other changes in clinical care: counseling patients about potential reactions (49% of respondents), looking up information in medical references (44%), and changing the way a patient was monitored (33%). Altogether, 63% of clinicians reported taking action other than discontinuing or modifying an alerted prescription in the previous month in response to alerts. Despite these benefits, fewer than half of respondents were satisfied with drug interaction and allergy alerts (47%). Problems included alerts triggered by discontinued medications (58%), alerts that failed to account for appropriate drug combinations (46%), and excessive volume of alerts (37%).</p>
<p><b>Conclusion&nbsp;</b> Although clinicians were critical of the quality of e-prescribing alerts, alerts may lead to clinically significant modifications in patient management not readily apparent based on "acceptance" rates.</p>
]]></description>
<dc:creator><![CDATA[Weingart, S. N., Simchowitz, B., Shiman, L., Brouillard, D., Cyrulik, A., Davis, R. B., Isaac, T., Massagli, M., Morway, L., Sands, D. Z., Spencer, J., Weissman, J. S.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Informatics/ Internet in Medicine, Informatics, Other, Quality of Care, Patient Safety/ Medical Error, Health Care Reform, Drug Therapy, Adverse Effects, Medication Error]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.300</dc:identifier>
<dc:title><![CDATA[Clinicians' Assessments of Electronic Medication Safety Alerts in Ambulatory Care [Clinical Observation]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1632</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1627</prism:startingPage>
<prism:section>Clinical Observation</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1633?rss=1">
<title><![CDATA[Reducing Missed Opportunities to Vaccinate Adults Against Influenza: What Is Realistic? [Research Letters]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1633?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Maurer, J., Harris, K. M., Lurie, N.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Viral Infections, Patient-Physician Relationship/ Care, Patient-Physician Relationship, Other, Public Health, Immunization, Infectious Diseases]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.287</dc:identifier>
<dc:title><![CDATA[Reducing Missed Opportunities to Vaccinate Adults Against Influenza: What Is Realistic? [Research Letters]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1634</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1633</prism:startingPage>
<prism:section>Research Letters</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1634?rss=1">
<title><![CDATA[Dilated Inferior Vena Cava in Young Adults With Vasovagal Syncope [Research Letters]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1634?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Styczynski, G., Jaltuszewska, M., Kosiorowska, N., Kostrzewska, M., Szmigielski, C.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Cardiovascular System, Other, Cardiovascular System]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.271</dc:identifier>
<dc:title><![CDATA[Dilated Inferior Vena Cava in Young Adults With Vasovagal Syncope [Research Letters]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1635</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1634</prism:startingPage>
<prism:section>Research Letters</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1635?rss=1">
<title><![CDATA[The Healthy Adherer Effect [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1635?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Andersohn, F., Willich, S. N.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Patient-Physician Relationship/ Care, Treatment Adherence, Cardiovascular System, Statistics and Research Methods, Cardiovascular Disease/ Myocardial Infarction, Drug Therapy, Adherence, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.324</dc:identifier>
<dc:title><![CDATA[The Healthy Adherer Effect [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1636</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1635</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1636?rss=1">
<title><![CDATA[The Healthy Adherer Effect--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1636?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Shalev, V., Chodick, G.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Patient-Physician Relationship/ Care, Treatment Adherence, Cardiovascular System, Statistics and Research Methods, Cardiovascular Disease/ Myocardial Infarction, Drug Therapy, Adherence, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.325</dc:identifier>
<dc:title><![CDATA[The Healthy Adherer Effect--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1636</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1636</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1636-a?rss=1">
<title><![CDATA[Is Insulin the Preferred Compound in Lowering Glucose Levels in Patients After a Myocardial Infarction? [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1636-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Rensing, K. L., Kastelein, J. J. P., Twickler, M.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Nutritional and Metabolic Disorders, Nutritional and Metabolic Disorders, Other, Cardiovascular System, Cardiovascular Disease/ Myocardial Infarction, Drug Therapy, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.326</dc:identifier>
<dc:title><![CDATA[Is Insulin the Preferred Compound in Lowering Glucose Levels in Patients After a Myocardial Infarction? [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1637</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1636</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1637?rss=1">
<title><![CDATA[Is Insulin the Preferred Compound in Lowering Glucose Levels in Patients After a Myocardial Infarction?--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1637?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Kosiborod, M., Inzucchi, S. E., Krumholz, H. M., Masoudi, F. A., Goyal, A., Spertus, J. A.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:18 PDT</dc:date>
<dc:subject><![CDATA[Nutritional and Metabolic Disorders, Nutritional and Metabolic Disorders, Other, Cardiovascular System, Cardiovascular Disease/ Myocardial Infarction, Drug Therapy, Drug Therapy, Other]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.327</dc:identifier>
<dc:title><![CDATA[Is Insulin the Preferred Compound in Lowering Glucose Levels in Patients After a Myocardial Infarction?--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1638</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1637</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1638?rss=1">
<title><![CDATA[Relationship Between Bone, Fracture, and Exercise: The Key Role of Vitamin D [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1638?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Annweiler, C., Beauchet, O.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:19 PDT</dc:date>
<dc:subject><![CDATA[Aging/ Geriatrics, Public Health, Exercise, Injury Prevention & Control, Rheumatology, Osteoporosis, Surgery, Surgical Interventions, Orthopedic Surgery]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.322</dc:identifier>
<dc:title><![CDATA[Relationship Between Bone, Fracture, and Exercise: The Key Role of Vitamin D [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1638</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1638</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
</item>

<item rdf:about="http://archinte.ama-assn.org/cgi/content/short/169/17/1638-a?rss=1">
<title><![CDATA[Relationship Between Bone, Fracture, and Exercise: The Key Role of Vitamin D--Reply [Editor's Correspondence]]]></title>
<link>http://archinte.ama-assn.org/cgi/content/short/169/17/1638-a?rss=1</link>
<description><![CDATA[]]></description>
<dc:creator><![CDATA[Bischoff-Ferrari, H. A., Willett, W. C., Wong, J. B., Stuck, A. E., Staehelin, H. B., Orav, E. J., Thoma, A., Kiel, D. P., Henschkowski, J.]]></dc:creator>
<dc:date>Mon, 28 Sep 2009 12:51:19 PDT</dc:date>
<dc:subject><![CDATA[Aging/ Geriatrics, Public Health, Exercise, Injury Prevention & Control, Rheumatology, Osteoporosis, Surgery, Surgical Interventions, Orthopedic Surgery]]></dc:subject>
<dc:identifier>info:doi/10.1001/archinternmed.2009.323</dc:identifier>
<dc:title><![CDATA[Relationship Between Bone, Fracture, and Exercise: The Key Role of Vitamin D--Reply [Editor's Correspondence]]]></dc:title>
<dc:publisher>American Medical Association</dc:publisher>
<prism:number>17</prism:number>
<prism:volume>169</prism:volume>
<prism:endingPage>1638</prism:endingPage>
<prism:publicationDate>2009-09-28</prism:publicationDate>
<prism:startingPage>1638</prism:startingPage>
<prism:section>Editor's Correspondence</prism:section>
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