You are seeing this message because your Web browser does not support basic Web standards. Find out more about why this message is appearing and what you can do to make your experience on this site better.


ABOUT ARCHIVES
Advanced Search

Welcome   | My Account | E-mail Alerts | RSS | Access Rights | Sign In


  Vol. 163 No. 22, December 8, 2003 TABLE OF CONTENTS
  Online Only
 •  Online First Table of
Contents
  Original Investigation
 •Online Features
 This Article
 •Abstract
 •PDF
 •Correction
 • Reply to article
 •Send to a friend
 • Save in My Folder
 •Save to citation manager
 •Permissions
 Citing Articles
 •Citation map
 •Citing articles on HighWire
 •Citing articles on Web of Science (685)
 •Contact me when this article is cited
 Related Content
 •Related letter
 •Similar articles in this journal
 Topic Collections
 •Aging/ Geriatrics
 •Quality of Care
 •Patient Safety/ Medical Error
 •Drug Therapy
 •Adverse Effects
 •Medication Error
 •Alert me on articles by topic
 Social Bookmarking
  Add to CiteULike Add to Connotea Add to Delicious Add to Digg Add to Facebook Add to Reddit Add to Technorati Add to Twitter What's this?

Updating the Beers Criteria for Potentially Inappropriate Medication Use in Older Adults

Results of a US Consensus Panel of Experts

Donna M. Fick, PhD, RN; James W. Cooper, PhD, RPh; William E. Wade, PharmD, FASHP, FCCP; Jennifer L. Waller, PhD; J. Ross Maclean, MD; Mark H. Beers, MD

Arch Intern Med. 2003;163:2716-2724.

ABSTRACT



Background  Medication toxic effects and drug-related problems can have profound medical and safety consequences for older adults and economically affect the health care system. The purpose of this initiative was to revise and update the Beers criteria for potentially inappropriate medication use in adults 65 years and older in the United States.

Methods  This study used a modified Delphi method, a set of procedures and methods for formulating a group judgment for a subject matter in which precise information is lacking. The criteria reviewed covered 2 types of statements: (1) medications or medication classes that should generally be avoided in persons 65 years or older because they are either ineffective or they pose unnecessarily high risk for older persons and a safer alternative is available and (2) medications that should not be used in older persons known to have specific medical conditions.

Results  This study identified 48 individual medications or classes of medications to avoid in older adults and their potential concerns and 20 diseases/conditions and medications to be avoided in older adults with these conditions. Of these potentially inappropriate drugs, 66 were considered by the panel to have adverse outcomes of high severity.

Conclusions  This study is an important update of previously established criteria that have been widely used and cited. The application of the Beers criteria and other tools for identifying potentially inappropriate medication use will continue to enable providers to plan interventions for decreasing both drug-related costs and overall costs and thus minimize drug-related problems.



INTRODUCTION


 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

TOXIC EFFECTS of medications and drug-related problems can have profound medical and safety consequences for older adults and economically effect the health care system. Thirty percent of hospital admissions in elderly patients may be linked to drug-related problems or drug toxic effects.1 Adverse drug events (ADEs) have been linked to preventable problems in elderly patients such as depression, constipation, falls, immobility, confusion, and hip fractures.1-2 A 1997 study of ADEs found that 35% of ambulatory older adults experienced an ADE and 29% required health care services (physician, emergency department, or hospitalization) for the ADE.1 Some two thirds of nursing facility residents have ADEs over a 4-year period.3 Of these ADEs, 1 in 7 results in hospitalization. 4

Recent estimates of the overall human and economic consequences of medication-related problems vastly exceed the findings of the Institute of Medicine (IOM) on deaths from medical errors, estimated to cost the nation $8 billion annually.5 In 2000, it is estimated that medication-related problems caused 106 000 deaths annually at a cost of $85 billion.6 Others have calculated the cost of medication-related problems to be $76.6 billion to ambulatory care, $20 billion to hospitals, and $4 billion to nursing home facilities.2, 7-8 If medication-related problems were ranked as a disease by cause of death, it would be the fifth leading cause of death in the United States.9 The prevention and recognition of drug-related problems in elderly patients and other vulnerable populations is one of the principal health care quality and safety issues for this decade.

The aforementioned IOM report has focused increased attention on finding solutions for unsafe medication practices, polypharmacy, and drug-related problems in the care of older adults. There are many ways to define medication-related problems in elderly patients, including the use of lists containing specific drugs to avoid in the elderly and appropriateness indexes applied by pharmacists or clinicians.1, 10-11 Systematic review of the evidence-based literature on medication use in elderly patients is another approach to defining the problem, but the number of controlled studies on medication use in elderly patients is limited.

The use of consensus criteria for safe medication use in elderly patients is one approach to developing reliable and explicit criteria when precise clinical information is lacking. The two most widely used consensus criteria for medication use in older adults are the Beers criteria and the Canadian criteria.12-14 The Beers criteria are based on expert consensus developed through an extensive literature review with a bibliography and questionnaire evaluated by nationally recognized experts in geriatric care, clinical pharmacology, and psychopharmacology using a modified Delphi technique to reach consensus. The Beers criteria have been used to survey clinical medication use, analyze computerized administrative data sets, and evaluate intervention studies to decrease medication problems in older adults. The Beers criteria were also adopted by the Centers for Medicare & Medicaid Services (CMS) in July 1999 for nursing home regulation. Previous studies have shown these criteria to be useful in decreasing problems in older adults.15-19 These criteria, though controversial at times, have been widely used over the past 10 years for studying prescribing patterns within populations, educating clinicians, and evaluating health outcomes, cost, and utilization data.20-23

A recently published study of potentially inappropriate medication (PIM) use with the Beers criteria in a Medicare-managed care population found a PIM prevalence of 23% (541/2336). Those receiving a PIM had significantly higher total, provider, and facility costs and a higher mean number of inpatient, outpatient, and emergency department visits than comparisons after controlling for sex, Charlson Comorbidity Index, and total number of prescriptions.20 Other studies have found that specific PIMs such as nonsteroidal anti-inflammatory drugs (NSAIDs) and benzodiazepines have been associated with adverse outcomes and increased costs.18 In contrast, a recent study on the relationship between inappropriate drug use, functional status decline, and mortality in 3234 patients from the Duke cohort did not find an association with mortality and inappropriate drug use as determined by the Beers criteria after controlling for covariates.24

In summary, these criteria have been used extensively for evaluating and intervening in medication use in older adults over the past decade. However, with the continuous arrival of new drugs on the market, increased knowledge about older drugs, and removal of older drugs from the market, these criteria must be updated on a regular basis to remain useful. Since the criteria were published in 1997, there has been an increase in the number of scientific studies addressing drug use and appropriateness in older adults, but there is still a lack of controlled studies in the older population and particularly in patients older than 75 years and patients with multiple comorbidities.23

The purpose of this initiative was to revise and update the Beers criteria for ambulatory and nursing facility populations older than 65 years in the United States. There were 3 main aims: (1) to reevaluate the 1997 criteria to include new products and incorporate new information available from the scientific literature, (2) to assign or reevaluate a relative rating of severity for each of the medications, and (3) to identify any new conditions or considerations not addressed in the 1997 criteria.


METHODS


 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

There were 5 phases in the data collection for this study: (1) the review of the literature, (2) creation and mailing of the round 1 questionnaire, (3) creation of the second-round questionnaire based on round 1 and expert panel feedback, (4) convening of the expert panel and panel responses to the second-round questionnaire, and (5) completion and analysis of a third and final mailed questionnaire that measured the severity ratings of the PIMs to create the final revised list.

The criteria reviewed covered 2 types of statements: (1) medications or medication classes that should generally be avoided in persons 65 years or older because they are either ineffective or they pose unnecessarily high risk for older persons and a safer alternative is available and (2) medications that should not be used in older persons known to have specific medical conditions. The 2 statements each used a 5-point Likert scale and ask respondents to rate their agreement or disagreement with the statement from strongly agree (1) to strongly disagree (5), with the midpoint (3) expressing equivocation. The second type of question asked the respondents to evaluate the medication appropriateness given certain conditions or diagnoses (Figure 1). All questions included an option to not answer if the respondent did not feel qualified to answer. This methodology was similar to that used by Beers et al13 in the creation of the first 2 iterations of the criteria. The methodology used in the third iteration of the Beers criteria only differed in the number of panelists (13 in 1991; 6 in 1997; and 12 in 2002) and the use of a third-round survey for the severity ratings, which was done (in person) in the 1997 update of the criteria.



View larger version (36K):
[in this window]
[in a new window]
Sample survey question.


RESEARCH DESIGN

The modified Delphi method is a technique to arrive at a group consensus regarding an issue under investigation that was originally developed at the RAND Corporation (Santa Monica, Calif) by Olaf Helmer and Norman Dalkey.25 The Delphi method is a set of procedures and methods for formulating a group judgment for a subject matter in which precise information is lacking (such as medication use in older adults). The Delphi method provides a means to reach consensus within a group of experts. The method relies on soliciting individual (often anonymous) answers to written questions by survey or other type of communication. A series of iterations provides each individual with feedback on the responses of the others in the group. The final responses are evaluated for variance and means to determine which questions the group has reached consensus about, either affirmatively or negatively.

LITERATURE REVIEW

The selection of articles for formulating the survey involved 3 steps and was phase 1 of the study. First, we identified literature published since January 1994 in English, describing or analyzing medication use in community-living (ambulatory) older adults and older adults living in nursing homes. From that, we created a table and bibliography. We used MEDLINE, searching with the following key terms adverse drug reactions, adverse drug events, medication problems, and medications and elderly for all relevant articles published between January 1994 and December 2000. Second, we hand searched and identified additional references from the bibliographies of relevant articles. Third, all the panelists were invited to add references and articles after the first survey to add to the literature review. Each study was systematically reviewed by 2 investigators using a table to outline the following information: type of study design; sample size; medications reviewed; summary of results and key points; quality, type and category of medication addressed; and severity of the drug-related problem.

EXPERT PANEL SELECTION

The panel of members were invited to participate via letter by the 4 investigators and a consultant and represented a variety of experience and judgment including extensive clinical practice, extensive publications in this area, and/or senior academic rank. They were also chosen to represent acute, long-term, and community practice settings with pharmacological, geriatric medicine, and psychiatric expertise. Lastly, they were selected from geographically diverse parts of the United States. We initially invited (via regular mail) 16 potential participants with nationally and/or internationally recognized expertise in psychopharmacology, pharmacoepidemiology, clinical geriatric pharmacology, and clinical geriatric medicine to complete our survey. Our response rate for the initial invitation to participate as a panelist was 75% (12/16). Our final panel thus consisted of 12 experts who completed all rounds of the survey.

DATA COLLECTION AND ANALYSIS

We used the systematic review of the literature to construct the first round questionnaire. The first-round survey contained 4 sections. Parts 1 and 2 reviewed the latest 1997 criteria. Parts 3 and 4 were medications added for the 2002 update for medications alone (part 3) and medications considering diagnoses and conditions. Parts 3 and 4 included 29 new questions about medications or medication classes and conditions. The last question in part 4 asked panel members to add medications to the list. The panel was then surveyed via Delphi technique to determine concordance/consensus with the round 1 survey and invited to add additional medications prior to and during the second-round meeting.

We created the second and third questionnaires (severity ratings) from panel input and the results of the previous round survey. We completed all mailed and face-to-face rounds between October 2001 and February 2002. We constructed the questionnaire statements according to the original Beers criteria published in 1991 and the updated criteria published in 1997. The instructions accompanying the survey asked the respondents to consider the use of medications only in adults 65 years and older. The second-round survey included the statements included from round 1 and any statements added by the experts from the first round. In the second round and the face-to-face meeting, the respondents were given information about their answers and the anonymous answers of the other members of the group and were given the opportunity to reconsider their previous response.

After analyzing the responses from the first round of the survey, we examined each question for inclusion or exclusion in the revised criteria or for further consideration in the second round of the survey. We calculated the mean rating and corresponding 95% confidence interval (CI) of each statement or dosing question collected from the first round of the survey. Those statements whose upper limit of the 95% CI was less than 3.0 were included in the updated criteria. Those statements or dosing questions whose lower limit of the 95% CI was greater than 3.0 were excluded from the updated criteria. Statements whose 95% CI included the value of 3.0 were included for further determination in the second-round face-to-face meeting.

The face-to-face meeting was convened on December 10, 2001, in Atlanta, Ga. Each panel member was given the results of the first-round survey and the added medications (from the other panel members) to review approximately 10 days before the meeting. For statements that needed further examination (neither included or excluded during round 1), each rater was given his or her previous rating and the mean rating of the group of experts in the second survey.

Any additional statements or dosing questions that had been made on the open-ended portion of the first round of the survey by any expert was included in the survey for the second round. Forty-four questions were added by expert panelists during round 1 of the survey, and 9 questions were added during the round 2 in-person survey and voted on during the in-person meeting. These questions/medications made up part 5 of the survey. Twenty-four questions from parts 3 and 4 had 95% CIs greater than 3.0 after the round 1 survey. During the second-round face-to-face meeting, the group debated these remaining statements and then rerated them using the same Likert scale. The mean rating and 95% CI were calculated. The technique used for the first round for inclusion or exclusion of the statement or dosing question in the updated criteria was used. Those statements whose 95% CI included 3.0 were excluded from the updated criteria. Lastly, in January 2002, we surveyed panelists on a 5-point scale for the severity of the potential medication problem.


RESULTS


 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

The final criteria are listed in Table 1 and Table 2. Table 1 contains 48 individual medications or classes of medications to avoid in older adults and their potential concerns. Table 2 lists 20 diseases or conditions and medications to be avoided in older adults with these conditions. Sixty-six of these potentially inappropriate drugs were considered by the panel to have adverse outcomes of high severity. New conditions and diagnoses that were addressed this time included depression, cognitive impairment, Parkinson disease, anorexia, and malnutrition, syndrome of inappropriate antidiuretic hormone secretion, and obesity.


View this table:
[in this window]
[in a new window]
Table 1. 2002 Criteria for Potentially Inappropriate Medication Use in Older Adults: Independent of Diagnoses or Conditions



View this table:
[in this window]
[in a new window]
Table 2. 2002 Criteria for Potentially Inappropriate Medication Use in Older Adults: Considering Diagnoses or Conditions


A total of 15 medications/medication classes were dropped or modified from the 1997 to the 2002 update from the round 1 survey. Most of the medications dropped since 1997 were those that were associated with diagnoses or conditions. The following medications were voted to be dropped or modified from the criteria by the panelists since the 1997 publication: phenylbutazone, oxybutynin chloride, {beta}-blockers, corticosteroids with persons with diabetes; sedative-hypnotics in persons with chronic obstructive pulmonary disease; {beta}-blockers in persons with asthma; {beta}-blockers in persons with peripheral vascular disorder; {beta}-blockers in persons with syncope and falls; narcotics in persons with bladder outflow obstruction; and theophylline sodium glycinate in persons with insomnia (Table 3). Oxybutinin was modified by not including the extended-release formula, which the panel believed had fewer adverse effects. Reserpine was changed to be avoided only at doses greater than 0.25 mg, and disopyramide phosphate avoidance now only refers to the non–extended release formulation. New information about {beta}-blockers in elderly patients led the panel to drop this class of drugs from the list. The other criteria dropped involved use of drugs in the setting of a comorbid condition or drugs that are off the market. The expert panelists could not reach consensus about adding questions regarding setting maximum dosages for sedative-hypnotics, antipsychotics, selective serotonin reuptake inhibitors, and tricyclic antidepressants that do not have specific recommendations from the manufacturer, though there was agreement that consideration of changes in pharmacokinetics were important in older patients in preventing problems caused by excessive dosages and usage.


View this table:
[in this window]
[in a new window]
Table 3. Summary of Changes From 1997 Beers Criteria to New 2002 Criteria


This update also includes several medications that have new information or have come to market since the last study of the Beers criteria was published (1997), including selective serotonin reuptake inhibitors, amiodarone, and fluoxetine hydrochloride. The panel also voted to add methyltestosterones, amphetamines, and bupropion hydrochloride to the list of medications to be avoided in older adults. Table 1 and Table 2 state why medications were added since 1997, and Table 3 summarizes all the changes to the Beers criteria since 1997, including medications that were added, dropped, or modified.


COMMENT


 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

This study is an important update of previously established criteria that have been widely used and cited.16, 20, 22-23,26-29 The application of the Beers criteria and other tools for identifying PIM use will continue to enable providers to plan interventions for decreasing both drug-related costs and overall costs and thus minimize drug-related problems.9, 30 Such tools are also vitally important to managed care organizations, pharmacy benefit plans, and both acute and long-term health care institutions. However, to remain useful, criteria must be regularly updated and must take into account the ever-increasing, evidence-based literature in the area of medication use in older adults.

The argument in favor of using explicit criteria in prescribing practice is overwhelming: improvements in therapeutic practices and reduction in medication-related ADEs will increase the quality of care and enhance patient outcome at the same time as optimizing resource utilization and promoting fiscal prudence. These criteria, though widely used, have been controversial because of their adoption by nursing home regulators and have been criticized at times as too simplistic and limiting the freedom of physicians to prescribe.31-35 However, we believe that thoughtful application of the updated 2002 Beers criteria and other tools for identifying PIM use can enable providers and insurers to plan interventions aimed at decreasing drug-related costs and overall health care costs, while reducing ADE-related admissions in elderly patients9, 30 and improving care. The updated Beers criteria will enable everyone from individual physicians to health care systems to integrate the new criteria-based prescribing recommendations into their organic, mechanical, and electronic information systems.

The proponents of explicit criteria and evidence-based prescribing are among the biggest players in the health care industry: the IOM, the CMS, the Agency for Healthcare Research and Quality (AHRQ), and the American Association of Health Plans (AAHP), to name but four.36-37 Indeed, finding a voice of dissent is challenging. In "Crossing the Quality Chasm" the IOM38 presents a template for the future, when the traditional values of physician integrity, altruism, knowledge, skill, and dedication to lifelong patient care are seamlessly integrated into an information era of point-of-care, computerized decision support that facilitates appropriate care using the available resources. The updated Beers criteria are one component of that movement, enabling all parties, from providers to insurers, to integrate our recommendations into their clinical information systems.

Given the aforementioned, there appears to be a potential niche for the Beers criteria in fulfilling the missions of the IOM, CMS, AHRQ, and AAHP. However, translating research into measurable quality improvement may be more challenging. In the first instance, despite the much-lauded public statements about quality by many (including the above organizations), there is widespread recognition that perhaps cost containment is the principal driver of change in the health care world.39 Individual health care providers and organizations will demand objective evidence that implementation of the updated Beers criteria (or, indeed, other inappropriate medication guides) will result in objective, quantifiable improvements in the clinical effectiveness and cost-effectiveness of health care services. To date, despite extensive literature demonstrating association—based on retrospective studies on administrative data—there is an absence of rigorous, prospective research in this field. We (D.M.F., J.L.W., and J.R.M.) are completing a randomized controlled study among a Medicare managed care population at this time, using the 1997 medication criteria for older adults. Well-controlled studies are needed that show prospectively that using these criteria make a difference in patient outcomes.31

These criteria have some limitations, however, and must be regularly updated to remain useful to both clinicians, health care administrators, and researchers. These criteria are meant to apply to the general population of patients 65 years and older, thus some that are not appropriate for significantly older or more frail persons do not appear in this list. These criteria are not meant to regulate practice in a manner to which they supersede the clinical judgment and assessment of the physician or practitioner. In addition, defining inappropriate medications by specific lists of medications rather than other mechanisms may miss some problems such as the underuse and interactions of drugs in older people.26, 40 A true meta-analysis was not conducted for this study. Lastly, this study has the same limitations previously documented regarding the use of the Delphi technique.25, 41

A further challenge to adoption of the Beers criteria will come from the information systems and information technology sector. Despite phenomenal advances in hardware and software, decision support systems continue to have significant limitations, and presenting the right information to the right person at the point of clinical need remains a challenge for the information systems and information technology engineer, the behavior change specialist, and the medical profession.42


AUTHOR INFORMATION


 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

Corresponding author and reprints: Donna M. Fick, PhD, RN, Center for Health Care Improvement, Department of Medicine, Medical College of Georgia, HB 2010, 1467 Harper St, Augusta, GA 30912 (e-mail: dfick{at}mail.mcg.edu).

Accepted for publication March 28, 2003.

This research was supported by a grant from the Medical College of Georgia (Augusta) and University of Georgia (Athens) Combined Intramural Grant Program.

We thank Judy Johnson, MAT, R. C. Robinson, BS, and Alison Maclean, BA, for assistance with data management and manuscript preparation. We acknowledge the following individuals for contributing their expertise to this study as panel members: Maude Babington, PharmD (Babington Consulting, LLC, Boulder, Colo); Manju T. Beier, PharmD (The University of Michigan, Ann Arbor); Richard W. Besdine, MD (Brown University, Providence, RI); Jack Fincham, PhD (University of Kansas, Lawrence); F. Michael Gloth III, MD (Johns Hopkins University School of Medicine, Baltimore, Md); Thomas Jackson, MD (Medical College of Georgia, Augusta); John E. Morley, MD (Saint Louis University Health Sciences Center, St Louis, Mo); Becky Nagle, PharmD, BCPC (Medco Health Solutions, Franklin Lakes, NJ); Todd Semla, PharmD, MS (Evanston Northwestern Healthcare, Evanston, Ill); Mark A. Stratton, PharmD (University of Oklahoma, Oklahoma City); Andrew D. Weinberg, MD (Emory University School of Medicine, Atlanta, Ga).

This article was corrected on 12/18/03.

From the Department of Medicine, Center for Health Care Improvement (Drs Fick and Maclean); and Office of Biostatistics (Dr Waller), Medical College of Georgia, Augusta; Department of Veterans Affairs Medical Center, Augusta (Dr Fick); Department of Clinical and Administrative Pharmacy, College of Pharmacy, University of Georgia, Athens, (Drs Cooper and Wade); and Merck & Co Inc, West Point, Pa (Dr Beers). The authors have no relevant financial interest in this article.


REFERENCES


 Jump to Section
 •Top
 •Introduction
 •Methods
 •Results
 •Comment
 •Author information
 •References

1. Hanlon JT, Schmader KE, Kornkowski MJ, et al. Adverse drug events in high risk older outpatients. J Am Geriatr Soc. 1997;45:945-948. WEB OF SCIENCE | PUBMED
2. Bootman JL, Harrison DL, Cox E. The health care cost of drug-related morbidity and mortality in nursing facilities. Arch Intern Med. 1997;157:2089-2096. FREE FULL TEXT
3. Cooper JW. Probable adverse drug reactions in a rural geriatric nursing home population: a four-year study. J Am Geriatr Soc. 1996;44:194-197. WEB OF SCIENCE | PUBMED
4. Cooper JW. Adverse drug reaction-related hospitalizations of nursing facility patients: a 4-year study. South Med J. 1999;92:485-490. FULL TEXT | WEB OF SCIENCE | PUBMED
5. Kohn L, ed, Corrigan J, ed, Donaldson M, ed. To Err Is Human: Building a Safer Health System. Washington, DC: National Academy Press; 1999. Available at: http://books.nap.edu/html/to_err_is_human/. Accessed March 14, 2001.
6. Perry DP. When medicine hurts instead of helps. Consultant Pharmacist. 1999;14:1326-1330.
7. Bates DW, Spell N, Cullen DJ, et al, the Adverse Drug Events Prevention Study Group. The costs of adverse drug events in hospitalized patients. JAMA. 1997;277:307-311. FREE FULL TEXT
8. Johnson JA, Bootman JL. Drug-related morbidity and mortality: a cost-of-illness model. Arch Intern Med. 1995;155:1949-1956. FREE FULL TEXT
9. Lazarou J, Pomeranz BH, Corey PN. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. JAMA. 1998;279:1200-1205. FREE FULL TEXT
10. Hanlon JT, Landsman PB, Cowan K, et al. Physician agreement with pharmacist-suggested drug therapy changes for elderly outpatients. Am J Health Syst Pharm. 1996;53:2735-2737.
11. Hanlon JT, Schmader KE, Samsa GP, et al. A method for assessing drug therapy appropriateness. J Clin Epidemiol. 1992;45:1045-1051. FULL TEXT | WEB OF SCIENCE | PUBMED
12. Beers MH. Explicit criteria for determining potentially inappropriate medication use by the elderly. Arch Intern Med. 1997;157:1531-1536. FREE FULL TEXT
13. Beers MH, Ouslander JG, Rollingher J, Reuben DB, Beck JC. Explicit criteria for determining inappropriate medication use in nursing home residents. Arch Intern Med. 1991;151:1825-1832. FREE FULL TEXT
14. McLeod JP, Huang AR, Tamblyn RM. Defining inappropriate practices in prescribing for elderly people: a national consensus panel. CMAJ. 1997;156:385-391. FREE FULL TEXT
15. Doucet J, Chassagne P, Trivalle C, et al. Drug-drug interactions related to hospital admissions in older adults: a prospective study of 1000 patients. J Am Geriatr Soc. 1996;44:944-948. WEB OF SCIENCE | PUBMED
16. Golden AG, Preston RA, Barnett SD, Liorente M, Hamdan K, Silverman MA. Inappropriate medication prescribing in homebound older adults. J Am Geriatr Soc. 1999;47:948-953. WEB OF SCIENCE | PUBMED
17. Mort JR, Aparasu RR. Prescribing potentially inappropriate psychotropic medications to the ambulatory elderly. Arch Intern Med. 2000;160:2825-2831. FREE FULL TEXT
18. Smalley WE, Griffin MR. The risks and costs of upper gastrointestinal disease attributable to NSAIDs. Gastroenterol Clin North Am. 1996;25:373-396. FULL TEXT | WEB OF SCIENCE | PUBMED
19. Thapa PB, Gideon P, Cost TW, Milam AB, Ray WA. Antidepressants and the risk of falls among nursing home residents. N Engl J Med. 1998;339:875-882. FULL TEXT | WEB OF SCIENCE | PUBMED
20. Fick DM, Waller JL, Maclean JR, et al. Potentially inappropriate medication use in a Medicare managed care population: association with higher costs and utilization. J Managed Care Pharm. 2001;7:407-413.
21. Kaufman DW, Kelly JP, Rosenberg L, Anderson TE, Mitchell AA. Recent patterns of medication use in the ambulatory adult population of the United States: the Slone survey. JAMA. 2002;287:337-344. FREE FULL TEXT
22. Hanlon JT, Schmader KE, Boult C, et al. Use of inappropriate prescription drugs by older people. J Am Geriatr Soc. 2002;50:26-34. FULL TEXT | WEB OF SCIENCE | PUBMED
23. Morley JE. Drugs, aging, and the future [editorial]. J Gerontol A Biol Sci Med Sci. 2002;57A:M2-M6. FREE FULL TEXT
24. Hanlon J, Fillenbaum G, Kuchibhatla M, et al. Impact of inappropriate drug use on mortality and functional status in representative community dwelling elders. Med Care. 2002;40:166-176. FULL TEXT | WEB OF SCIENCE | PUBMED
25. Dalkey N, Brown B, Cochran S. The Delphi Method, III: Use of Self Ratings to Improve Group Estimates. Santa Monica, Calif: Rand Corp; November 1969. Publication RM-6115-PR.
26. Rochon P, Gurwitz J. Prescribing for seniors. JAMA. 1999;282:113-115. FREE FULL TEXT
27. Aparasu RR, Fliginger SE. Inappropriate medication prescribing for the elderly by office-based physicians. Ann Pharmacother. 1997;31:823-829. ABSTRACT
28. Dhalla I, Anderson G, Mandani M, Bronskill S, Sykora K, Rochon P. Inappropriate prescribing before and after nursing home admission. J Am Geriatr Soc. 2002;50:995-1000. FULL TEXT | WEB OF SCIENCE | PUBMED
29. Sloane P, Zimmerman S, Brown L, Ives T, Walsh J. Inappropriate medication prescribing in residential care/assisted living facilities. J Am Geriatr Soc. 2002;50:1001-1011. FULL TEXT | WEB OF SCIENCE | PUBMED
30. Cooper JW, Wade WE. Repeated unnecessary NSAID-associated hospitalizations in an elderly female: a case report. Geriatr Drug Ther. 1997;12:95-97.
31. Avorn J. Improving drug use in elderly patients: getting to the next level. JAMA. 2001;286:2866-2868. FREE FULL TEXT
32. Ruscin JM, Page RL II. Inappropriate prescribing for elderly patients. JAMA. 2002;287:1264-1265. FREE FULL TEXT
33. Slater EJ. Polypharmacy in skilled-nursing facilities [letter]. Ann Intern Med. 1993;118:649. FREE FULL TEXT
34. Ashburn PE. Polypharmacy in skilled-nursing facilities [letter]. Ann Intern Med. 1993;118:649-650. FREE FULL TEXT
35. Terplan M. Polypharmacy in skilled-nursing facilities [letter]. Ann Intern Med. 1993;118:650.
36. Centers for Medicare and Medicaid Services Web site. Available at: http://cms.hhs.gov/. Accessed April 8, 2002.
37. American Association of Health Plans Web site. Available at: http://www.aahp.org/. Accessed April 8, 2002.
38. Institute of Medicine. Crossing the Quality Chasm. Washington, DC: Institute of Medicine Press; 2001.
39. DesHarnais SI, Fortham MT, Homa-Lowry JM, Wooster LD. Risk-adjusted clinical quality indicators: indices for measuring and monitoring rates of mortality, complications, and readmissions. Qual Manag Health Care. 2000;9:14-22. FULL TEXT | PUBMED
40. Hanlon JT, Schmader K, Ruby C, Weinberger M. Suboptimal prescribing in older inpatients and outpatients. J Am Geriatr Soc. 2001;49:200-209. FULL TEXT | WEB OF SCIENCE | PUBMED
41. Hasson F, Keeney S, Mckenna H. Research guidelines for the Delphi survey technique. J Adv Nurs. 2000;32:1008-1015. FULL TEXT | WEB OF SCIENCE | PUBMED
42. Coiera E. When conversation is better than computation. J Am Med Inform Assoc. 2000;7:277-286. FREE FULL TEXT


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Delicious Delicious   Add to Digg Digg   Add to Facebook Facebook   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter     What's this?

RELATED LETTER

Inappropriate Medication Use in Older Adults: Does Nitrofurantoin Belong on the List for the Reasons Stated?
Calvin M. Kunin
Arch Intern Med. 2004;164(15):1701.
EXTRACT | FULL TEXT  


THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES

Senior Adult Oncology
Hurria et al.
J Natl Compr Canc Netw 2012;10:162-209.
FULL TEXT  

Pharmacoepidemiology in the Postmarketing Assessment of the Safety and Efficacy of Drugs in Older Adults
Hilmer et al.
J Gerontol A Biol Sci Med Sci 2012;67A:181-188.
ABSTRACT | FULL TEXT  

Drug Burden Index and Beers Criteria: Impact on Functional Outcomes in Older People Living in Self-Care Retirement Villages
Gnjidic et al.
J Clin Pharmacol 2012;52:258-265.
ABSTRACT | FULL TEXT  

Preserving Cognitive Vitality in Older Adults
Schreck
Gerontology 2011;16:49-55.
ABSTRACT | FULL TEXT  

Antibiotic use in long-term care facilities
Daneman et al.
J Antimicrob Chemother 2011;66:2856-2863.
ABSTRACT | FULL TEXT  

Prescribing in care homes: the role of the geriatrician
Burns and McQuillan
Therapeutic Advances in Chronic Disease 2011;2:353-358.
ABSTRACT  

Beers Criteria as a Proxy for Inappropriate Prescribing of Other Medications Among Older Adults
Lund et al.
The Annals of Pharmacotherapy 2011;45:1363-1370.
ABSTRACT | FULL TEXT  

Alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms
Hume et al.
BMJQS 2011;20:875-884.
ABSTRACT | FULL TEXT  

Short-acting nifedipine and risk of stroke in elderly hypertensive patients
Jung et al.
Neurology 2011;77:1229-1234.
ABSTRACT | FULL TEXT  

Inappropriate drug use and mortality in community-dwelling elderly with impaired kidney function--the Three-City population-based study
Breton et al.
Nephrol Dial Transplant 2011;26:2852-2859.
ABSTRACT | FULL TEXT  

Comparative Effectiveness of Pain Management Interventions for Hip Fracture: A Systematic Review
Abou-Setta et al.
ANN INTERN MED 2011;155:234-245.
ABSTRACT | FULL TEXT  

Underevaluation of Cardiovascular Risk Factors in Patients With Nonaccidental Falls
Daccarett et al.
Journal of Primary Care & Community Health 2011;2:173-180.
ABSTRACT  

Pharmacotherapy at the end-of-life
O'Mahony and O'Connor
Age Ageing 2011;40:419-422.
ABSTRACT | FULL TEXT  

High Yield Research Opportunities in Geriatric Emergency Medicine: Prehospital Care, Delirium, Adverse Drug Events, and Falls
Carpenter et al.
J Gerontol A Biol Sci Med Sci 2011;66A:775-783.
ABSTRACT | FULL TEXT  

Cognitive Decline and the Default American Lifestyle
Mirowsky
J Gerontol B Psychol Sci Soc Sci 2011;66B:i50-i58.
ABSTRACT | FULL TEXT  

High risk prescribing in primary care patients particularly vulnerable to adverse drug events: cross sectional population database analysis in Scottish general practice
Guthrie et al.
BMJ 2011;342:d3514-d3514.
ABSTRACT | FULL TEXT  

Potentially Inappropriate Medications Defined by STOPP Criteria and the Risk of Adverse Drug Events in Older Hospitalized Patients
Hamilton et al.
Arch Intern Med 2011;171:1013-1019.
ABSTRACT | FULL TEXT  

Inappropriate Medications in Elderly ICU Survivors: Where to Intervene?
Morandi et al.
Arch Intern Med 2011;171:1032-1034.
FULL TEXT  

Specialist medication review does not benefit short-term outcomes and net costs in continuing-care patients
Pope et al.
Age Ageing 2011;40:307-312.
ABSTRACT | FULL TEXT  

Challenges and Opportunities in Managing the Dizzy Older Adult
Wetmore et al.
Otolaryngol Head Neck Surg 2011;144:651-656.
ABSTRACT | FULL TEXT  

Potentially inappropriate medication use among older adults in the USA in 2007
Zhang et al.
Age Ageing 2011;40:398-401.
FULL TEXT  

Between Scylla and Charybdis: antipsychotic and other psychotropic medications in older nursing home residents
Pollock and Mulsant
CMAJ 2011;183:778-779.
FULL TEXT  

A pilot randomized controlled trial of deprescribing
Beer et al.
Therapeutic Advances in Drug Safety 2011;2:37-43.
ABSTRACT  

Injury in an Elderly Population Before and After Initiating a Skeletal Muscle Relaxant
Billups et al.
The Annals of Pharmacotherapy 2011;45:485-491.
ABSTRACT | FULL TEXT  

Medication Assessments by Care Managers Reveal Potential Safety Issues in Homebound Older Adults
Golden et al.
The Annals of Pharmacotherapy 2011;45:492-498.
ABSTRACT | FULL TEXT  

Special considerations for treatment of type 2 diabetes mellitus in the elderly
Fravel et al.
Am J Health Syst Pharm 2011;68:500-509.
ABSTRACT | FULL TEXT  

Prevalence and outcomes of use of potentially inappropriate medicines in older people: cohort study stratified by residence in nursing home or in the community
Barnett et al.
BMJQS 2011;20:275-281.
ABSTRACT | FULL TEXT  

Interventions to optimise prescribing in care homes: systematic review
Loganathan et al.
Age Ageing 2011;40:150-162.
ABSTRACT | FULL TEXT  

Clinical approach to the treatment of painful diabetic neuropathy
Hovaguimian and Gibbons
Therapeutic Advances in Endocrinology and Metabolism 2011;2:27-38.
ABSTRACT  

Anticholinergic Drug Use and Mortality Among Residents of Long-Term Care Facilities: A Prospective Cohort Study
Kumpula et al.
J Clin Pharmacol 2011;51:256-263.
ABSTRACT | FULL TEXT  

ASAS recommendations for collecting, analysing and reporting NSAID intake in clinical trials/epidemiological studies in axial spondyloarthritis
Dougados et al.
Ann Rheum Dis 2011;70:249-251.
ABSTRACT | FULL TEXT  

Frequency of inappropriate drugs in primary care: analysis of a sample of immobile patients who received periodic home visits
Fiss et al.
Age Ageing 2011;40:66-73.
ABSTRACT | FULL TEXT  

Prescriptions for Potentially Inappropriate Medications Among Elderly American Indian Medicare Beneficiaries
Mort and Sailor
The Annals of Pharmacotherapy 2011;45:129-130.
FULL TEXT  

Development of and Recovery From Difficulty With Activities of Daily Living: An Analysis of National Data
Federman et al.
J Aging Health 2010;22:1081-1098.
ABSTRACT  

Validation of Consensus Panel Diagnosis in Dementia
Gabel et al.
Arch Neurol 2010;67:1506-1512.
ABSTRACT | FULL TEXT  

Beyond the Beers Criteria: A Comparative Overview of Explicit Criteria
Levy et al.
The Annals of Pharmacotherapy 2010;44:1968-1975.
ABSTRACT | FULL TEXT  

Retrospective Evaluation of Home Medicines Review by Pharmacists in Older Australian Patients Using the Medication Appropriateness Index
Castelino et al.
The Annals of Pharmacotherapy 2010;44:1922-1929.
ABSTRACT | FULL TEXT  

A Pilot Randomized Clinical Trial Utilizing the Drug Burden Index to Reduce Exposure to Anticholinergic and Sedative Medications in Older People
Gnjidic et al.
The Annals of Pharmacotherapy 2010;44:1725-1732.
ABSTRACT | FULL TEXT  

Managing Medications in Clinically Complex Elders: "There's Got to Be a Happy Medium"
Steinman and Hanlon
JAMA 2010;304:1592-1601.
ABSTRACT | FULL TEXT  

Medication safety in residential aged-care facilities: a perspective
Wilson et al.
Therapeutic Advances in Drug Safety 2010;1:11-20.
ABSTRACT  

Medication prescribing and monitoring errors in primary care: a report from the Practice Partner Research Network
Wessell et al.
BMJQS 2010;19:1-5.
ABSTRACT | FULL TEXT  

Use of Psychostimulants in Patients with Dementia
Dolder et al.
The Annals of Pharmacotherapy 2010;44:1624-1632.
ABSTRACT | FULL TEXT  

A Biobehavioral Home-Based Intervention and the Well-being of Patients With Dementia and Their Caregivers: The COPE Randomized Trial
Gitlin et al.
JAMA 2010;304:983-991.
ABSTRACT | FULL TEXT  

Risk for Fractures with Centrally Acting Muscle Relaxants: An Analysis of a National Medicare Advantage Claims Database
Golden et al.
The Annals of Pharmacotherapy 2010;44:1369-1375.
ABSTRACT | FULL TEXT  

Preventing Potentially Inappropriate Medication Use in Hospitalized Older Patients With a Computerized Provider Order Entry Warning System
Mattison et al.
Arch Intern Med 2010;170:1331-1336.
ABSTRACT | FULL TEXT  

Adverse Drug Responses: An Increasing Threat to the Well-being of Older Patients: Comment on "Development and Validation of a Score to Assess Risk of Adverse Drug Reactions Among In-Hospital Patients 65 Years or Older"
Schneider and Campese
Arch Intern Med 2010;170:1148-1149.
FULL TEXT  

Associations between drug burden index and physical function in older people in residential aged care facilities
Wilson et al.
Age Ageing 2010;39:503-507.
FULL TEXT  

Ten-year trends in hospital admissions for adverse drug reactions in England 1999-2009
Wu et al.
JRSM 2010;103:239-250.
ABSTRACT | FULL TEXT  

An intervention to improve benzodiazepine use--a new approach
Smith and Tett
Fam Pract 2010;27:320-327.
ABSTRACT | FULL TEXT  

Inappropriate Prescribing Predicts Adverse Drug Events in Older Adults
Lund et al.
The Annals of Pharmacotherapy 2010;44:957-963.
ABSTRACT | FULL TEXT  

Potentially inappropriate prescribing including under-use amongst older patients with cognitive or psychiatric co-morbidities
Lang et al.
Age Ageing 2010;39:373-381.
ABSTRACT | FULL TEXT  

Polypharmacy in Older Adults with Cancer
Maggiore et al.
The Oncologist 2010;15:507-522.
ABSTRACT | FULL TEXT  

Medicare Part D's Exclusion of Benzodiazepines and Fracture Risk in Nursing Homes
Briesacher et al.
Arch Intern Med 2010;170:693-698.
ABSTRACT | FULL TEXT  

Adverse events experienced by homecare patients: a scoping review of the literature
Masotti et al.
Int J Qual Health Care 2010;22:115-125.
ABSTRACT | FULL TEXT  

Diabetes Medications Related to an Increased Risk of Falls and Fall-Related Morbidity in the Elderly
Berlie and Garwood
The Annals of Pharmacotherapy 2010;44:712-717.
ABSTRACT | FULL TEXT  

Adverse Drug Events in Adult Patients Leading to Emergency Department Visits
Sikdar et al.
The Annals of Pharmacotherapy 2010;44:641-649.
ABSTRACT | FULL TEXT  

Potentially Inappropriate Medication Use in Older Adults With Mild Cognitive Impairment
Weston et al.
J Gerontol A Biol Sci Med Sci 2010;65A:318-321.
ABSTRACT | FULL TEXT  

The impact of computerized provider order entry on medication errors in a multispecialty group practice
Devine et al.
J Am Med Inform Assoc 2010;17:78-84.
ABSTRACT | FULL TEXT  

Perioperative care of the elderly patient: An update
PALMER
Cleveland Clinic Journal of Medicine 2009;76:S16-S21.
ABSTRACT | FULL TEXT  

Caring for the Elderly in an Inpatient Setting: Managing Insomnia and Polypharmacy
Kim et al.
Journal of Pharmacy Practice 2009;22:494-506.
ABSTRACT  

Agreement Between Drugs-to-Avoid Criteria and Expert Assessments of Problematic Prescribing
Steinman et al.
Arch Intern Med 2009;169:1326-1332.
ABSTRACT | FULL TEXT  

Agreement Between Drugs-to-Avoid Criteria and Expert Assessments of Problematic Prescribing--Invited Commentary
Budnitz
Arch Intern Med 2009;169:1332-1334.
FULL TEXT  

Application of STOPP and START Criteria: Interrater Reliability Among Pharmacists
Ryan et al.
The Annals of Pharmacotherapy 2009;43:1239-1244.
ABSTRACT | FULL TEXT  

Sex Differences in Inappropriate Drug Use: a Register-Based Study of Over 600,000 Older People
Johnell et al.
The Annals of Pharmacotherapy 2009;43:1233-1238.
ABSTRACT | FULL TEXT  

Targeting Suboptimal Prescribing in the Elderly: A Review of the Impact of Pharmacy Services
Castelino et al.
The Annals of Pharmacotherapy 2009;43:1096-1106.
ABSTRACT | FULL TEXT  

Adverse Events Related to Medications Leading to Hospitalization
Bollu et al.
Arch Intern Med 2009;169:810-810.
FULL TEXT  

Changes in anticholinergic load from regular prescribed medications in palliative care as death approaches
Agar et al.
Palliat Med 2009;23:257-265.
ABSTRACT  

Number and Dosage of Central Nervous System Medications on Recurrent Falls in Community Elders: The Health, Aging and Body Composition Study
Hanlon et al.
J Gerontol A Biol Sci Med Sci 2009;64A:492-498.
ABSTRACT | FULL TEXT  

Assessment of the Impact of Medication Therapy Management Delivered to Home-Based Medicare Beneficiaries
Welch et al.
The Annals of Pharmacotherapy 2009;43:603-610.
ABSTRACT | FULL TEXT  

Psychiatric symptoms of dementia: Treatable, but no silver bullet
SCHWAB et al.
Cleveland Clinic Journal of Medicine 2009;76:167-174.
ABSTRACT | FULL TEXT  

Geriatric Assessment in Older Patients with Breast Cancer
Klepin et al.
J Natl Compr Canc Netw 2009;7:226-236.
ABSTRACT  

Is There an Association Between Inappropriate Prescription Drug Use and Adherence in Discharged Elderly Patients?
Mansur et al.
The Annals of Pharmacotherapy 2009;43:177-184.
ABSTRACT | FULL TEXT  

Sleep in Older People
Phillips
ACCP Sleep Med Brd Rev 2009;4:325-338.
FULL TEXT  

Risk of Fractures with Selective Serotonin-Reuptake Inhibitors or Tricyclic Antidepressants
Ginzburg and Rosero
The Annals of Pharmacotherapy 2009;43:98-103.
ABSTRACT | FULL TEXT  

STOPP (Screening Tool of Older Persons' potentially inappropriate Prescriptions): application to acutely ill elderly patients and comparison with Beers' criteria
Gallagher and O'Mahony
Age Ageing 2008;37:673-679.
ABSTRACT | FULL TEXT  

Measures of Drug Toxicity in Older Adults--Reply
Rudolph et al.
Arch Intern Med 2008;168:1931-1932.
FULL TEXT  

Assessing Multiple Medication Use With Probabilities of Benefits and Harms
Murphy et al.
J Aging Health 2008;20:694-709.
ABSTRACT  





HOME | CURRENT ISSUE | PAST ISSUES | TOPIC COLLECTIONS | CME | PHYSICIAN JOBS | SUBMIT | SUBSCRIBE | HELP
CONDITIONS OF USE | PRIVACY POLICY | CONTACT US | SITE MAP
 
© 2003 American Medical Association. All Rights Reserved.