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 | Access Rights | Sign In


  Vol. 158 No. 10, May 25, 1998 TABLE OF CONTENTS
  Archives
  •  Online Features
  Original Investigation
 This Article
 •Abstract
 •PDF
 •Send to a friend
 • Save in My Folder
 •Save to citation manager
 •Permissions
 Citing Articles
 •Citation map
 •Citing articles on HighWire
 •Citing articles on ISI (145)
 •Contact me when this article is cited
 Related Content
 •Related letter
 •Similar articles in this journal
 Topic Collections
 •Congestive Heart Failure/ Cardiomyopathy
 •Alert me on articles by topic

Effects of a Home-Based Intervention Among Patients With Congestive Heart Failure Discharged From Acute Hospital Care

Simon Stewart, BA, BN; Sue Pearson, BA; John D. Horowitz, MBBS, PhD

Arch Intern Med. 1998;158:1067-1072.

ABSTRACT

Background  We examined the effect of a home-based intervention (HBI) on readmission and death among "high-risk" patients with congestive heart failure discharged home from acute hospital care.

Methods  Hospitalized patients with congestive heart failure and impaired systolic function, intolerance to exercise, and a history of 1 or more hospital admissions for acute heart failure were randomized to either usual care (n=48) or HBI at 1 week after discharge (n=49). Home-based intervention comprised a single home visit (by a nurse and pharmacist) to optimize medication management, identify early clinical deterioration, and intensify medical follow-up and caregiver vigilance as appropriate. The primary end point of the study was frequency of unplanned readmissions plus out-of-hospital deaths within 6 months of discharge. Secondary end points included duration of hospital stay and overall mortality.

Results  During follow-up, patients in the HBI group had fewer unplanned readmissions (36 vs 63; P=.03) and fewer out-of-hospital deaths (1 vs 5; P=.11): 0.8±0.9 vs 1.4±1.8 (mean±SD) events per patient assigned to HBI and usual care, respectively (P=.03). Patients in the HBI group also had fewer days of hospitalization (261 vs 452; P=.05) and fewer total deaths (6 vs 12; P=.11). Patients assigned to usual care were more likely to experience 3 or more readmissions for acute heart failure (P=.02). Predictors of unplanned readmission were (1) 14 days or more of unplanned readmission during the 6 months before study entry (odds ratio [OR], 5.2; 95% confidence interval [CI], 1.8-16.2), (2) previous admission for acute myocardial ischemia (OR, 3.3; 95% CI, 1.2-9.1), and (3) an albumin plasma concentration of 38 g/L or less (OR, 2.4; 95% CI, 1.2-6.0). Home-based intervention was also associated with a trend toward reduced risk of unplanned readmission (OR, 0.4; 95% CI, 0.2-1.1).

Conclusion  Among a cohort of high-risk patients with congestive heart failure, HBI was associated with reduced frequency of unplanned readmissions plus out-of-hospital deaths within 6 months of discharge from the hospital.



INTRODUCTION
 Jump to Section
 •Top
 •Introduction
 •Participants and methods
 •Results
 •Comment
 •Author information
 •References

COSTS associated with readmissions to the hospital have been estimated at approximately 24% of total Medicare inpatient expenditures in the United States.1 The distribution of costs is non-Gaussian, with a disproportionate effect on total costs by those patients categorized as "high-cost users"2-3: occurrence of unplanned readmissions provides a basis for these incremental costs. For example, among patients with congestive heart failure (CHF), the leading cause of hospitalization among patients older than 65 years,4 reported readmission rates range from 6% to 14% per month during the 6 months after initial discharge.5-9

Randomized controlled studies examining the effect of various interventions on frequency and duration of rehospitalization among patients with CHF have been conflicting, with favorable,8 inconclusive,10 and even unfavorable11 results reported. We examined the effect of a home-based intervention (HBI) on the frequency of unplanned readmissions plus out-of-hospital deaths for 6 months among "high-risk" patients with CHF discharged from acute hospital care.


PARTICIPANTS AND METHODS
 Jump to Section
 •Top
 •Introduction
 •Participants and methods
 •Results
 •Comment
 •Author information
 •References

STUDY COHORT

The study was initiated within a tertiary referral hospital that services a largely elderly population of lower socioeconomic status, with a higher prevalence of chronic illness and admission rates per capita for the region. Of a cohort of 762 medical and surgical patients prospectively examined after hospital discharge,12 the largest subgroup of patients were individuals with CHF. Presence of CHF was defined on the basis of formal demonstration (via echocardiography or radionuclide ventriculography) of impaired systolic function (left ventricular ejection fraction, <=55%) and persistent functional impairment indicative of New York Heart Association class II, III, or IV status. Acute heart failure was defined on the basis of pulmonary congestion or edema evident on chest radiography,13 with a clinical syndrome of acute dyspnea at rest. Chronicity of heart failure was diagnosed on the basis of exclusion of factors such as acute myocardial infarction or unstable angina pectoris, which might have precipitated emergence of reduced systolic function at the time of the index admission. However, patients admitted with acute ischemia or infarction with previously documented CHF were eligible for inclusion. Other exclusion criteria were presence of terminal malignancy requiring palliative care and home address outside the hospital catchment area.

The effects of an HBI were compared with those of usual postdischarge care (UC) in this subset of patients. General eligibility criteria for the study included being discharged to home and requiring continuous pharmacotherapeutic intervention for a chronic condition. Patients with CHF who were determined to be at high risk for unplanned readmission were identified on the basis of 1 or more unplanned admissions for acute heart failure before study entry.

RANDOMIZATION

The study was approved by The Queen Elizabeth Hospital's Ethics of Human Research Committee. Informed consent was obtained before hospital discharge, and participating patients were randomized to either UC or HBI. Randomization was initiated via a telephone call to an investigator (S.S.) who was unaware of the patient's demographic and clinical profile. Of the 107 eligible high-risk patients with CHF initially identified, 97 (91%) agreed to participate in the study.

STUDY TREATMENT

Before discharge, patients assigned to an HBI (n=49) were visited by the study nurse (S.P.) and counseled in relation to complying with the treatment regimen and reporting any sign of clinical deterioration or acute worsening of their heart failure. One week after discharge, these patients were visited at home by the study nurse and pharmacist. On arrival, the study pharmacist performed an assessment of the patient's knowledge of the prescribed medications (via questionnaire) and the extent of compliance (via pill count). Patients who demonstrated poor medication knowledge (<75% composite knowledge score of dosage, intended effect, potential adverse effects, and special instructions) or malcompliance (>=15% deviation from prescribed dosage at discharge) received a combination of the following: (1) remedial counseling, (2) initiation of a daily reminder routine to enhance timely administration of medications, (3) introduction of a weekly medication container enabling predistribution of dosages, (4) incremental monitoring by caregivers, (5) provision of a medication information and reminder card, and (6) referral to a community pharmacist for more regular review thereafter.

Patients were further evaluated by the study nurse to detect any clinical deterioration or adverse effects of prescribed medication since discharge; those requiring medical review were immediately referred to their primary care physician. After the home visit, all patients' primary care physicians were contacted by the study nurse to inform them of the home visit and to discuss the need (if any) for further remedial action or more intensive follow-up thereafter.

USUAL CARE

Patients assigned to the UC group (n=48) received the preexisting levels of postdischarge care: all patients in the UC group had appointments to be reviewed by their primary care physician or cardiologist (in the hospital's outpatient department) within 2 weeks of discharge. Furthermore, 13 patients (27%) were receiving regular home support (eg, domiciliary care or community nurse visits) after discharge.

STUDY END POINTS

The prospectively elected primary end point was frequency of unplanned readmissions plus out-of-hospital deaths.8, 14 Secondary end points were time to first primary end point, rate of unplanned readmission, total days of hospitalization, emergency department attendance, overall mortality, and cost of hospital-based health care.

DATA COLLECTION

After enrollment, data were collected regarding the patients' demographic profile, past medical history, and details of the index admission (including signs and symptoms, treatment regimen, and results of diagnostic investigations). Extent of comorbidity was assessed using the Charlson Index.15

All subsequent inpatient and outpatient activity was tracked via the hospital's computerized medical records system, with costs provided by the hospital's finance department. Records of the time and location of all deaths occurring in the region were compiled via the local Birth, Deaths, and Marriages Registry. Costs associated with the HBI were calculated from detailed diary entries of study personnel activity and invoices from external services used. In a randomly selected subset of 34 patients, the cost of community-based health care (including pharmacotherapy and consultation with primary care physicians) also was determined.

STATISTICAL ANALYSIS

Comparison of baseline and end point data involved use of the following: (1) {chi}2 analysis (with calculation of odds ratio [OR] and 95% confidence interval [CI]) for discrete variables, (2) the Student t test for normally distributed continuous variables, (3) the Mann-Whitney U test for non-Gaussian distributed variables, and (4) the log-rank test for analysis of the mortality data (Kaplan-Meier curve) and time to first primary end point. All analyses were performed on an intention-to-treat basis, with significance accepted at the .05 level (2 sided).

Multiple logistic regression, with entry of variables at a significance level of .20 from univariate analysis and stepwise rejection of variables at the .05 level of significance, was used to examine the interaction between treatment mode and other potential correlates of unplanned admission and mortality.


RESULTS
 Jump to Section
 •Top
 •Introduction
 •Participants and methods
 •Results
 •Comment
 •Author information
 •References

CLINICAL AND DEMOGRAPHIC PROFILE

Table 1 is a summary of the clinical and demographic profile of the study cohort. Most patients were elderly and of lower socioeconomic status. All but 1 of the study cohort were receiving a diuretic, 79 (81%) were receiving an angiotensin-converting enzyme inhibitor, and 65 (67%) were receiving digoxin. Clinical data recorded at the time of the index admission revealed that 57 patients (59%) were treated for acute pulmonary edema: of these, 16 (28%) were associated with new onset of rapid, uncontrolled (>=120/min) atrial fibrillation and 12 (21%) were associated with an acute ischemic syndrome.


View this table:
[in this window]
[in a new window]
Table 1. Baseline Clinical and Demographic Data According to Treatment Group*


EXTENT OF STUDY INTERVENTION

Seven patients assigned to HBI (14%) did not receive a home visit because of early readmission or withdrawal of consent. Among patients who were subject to a home visit, 22 (52% [95% CI, 36%-68]) were found to be malcompliant with, and 38 (90% [95% CI, 77%-97]) had inadequate knowledge of, their treatment regimen. On this basis, most patients required remedial intervention during HBI, and 9 patients were referred to a community pharmacist for more intensive follow-up thereafter. Furthermore, 14 patients (33% [95% CI, 20%-50]) demonstrated either early clinical deterioration or adverse effects from their medication regimen (most commonly postural hypotension) and required immediate examination by their primary care physician.

END POINTS

During the study, the incidence of the primary composite end point (unplanned readmission plus out-of-hospital death) was 0.8±0.9 vs 1.4±1.8 (mean ± SD) per patient assigned to HBI and UC, respectively (P=.03) (Figure 1). This comprised fewer unplanned readmissions (36 vs 63; P=.03) and out-of-hospital deaths (1 vs 5; P=.11) among patients in the HBI group. There was no significant difference between groups regarding time to first primary end point, although patients in the HBI group tended to be readmitted earlier. Furthermore, although fewer patients in the HBI group experienced an unplanned readmission (24 of 49 vs 31 of 48; P=.12) or died (6 of 49 vs 12 of 48; P=.11), neither difference reached statistical significance. Results of post-hoc analysis suggested that HBI was effective in preventing individual patients from requiring large numbers of readmissions with acute heart failure: no patient assigned to HBI had 3 or more such admissions, compared with 5 patients assigned to UC (P=.02). Patients assigned to HBI also recorded significantly fewer attendances to the hospital emergency department (48 vs 87; P=.05) and fewer days of hospitalization (261 vs 452 days; P=.05).



View larger version (16K):
[in this window]
[in a new window]
Accumulated total number of unplanned readmissions plus out-of-hospital deaths during follow-up using the unpaired Student t test (P=.03).


Mean cost of hospital-based care tended to be lower for the HBI group ($3200 [95% CI, $1800-$4600]) compared with the UC group ($5400 [95% CI, $3200-$6800]); this difference did not reach statistical significance. On the other hand, the additional cost of implementing the study intervention was $190 per patient. Costs associated with community-based health care for those patients subject to audit (n=34) were similar for both groups: $620 per patient assigned to HBI (95% CI, $460-$740) vs $680 per patient assigned to UC (95% CI, $550-$800). (Amounts of currency are expressed in Austalian dollars.)

Correlates of readmission and death during the study are summarized in Table 2; univariate and multivariate data are given. On multiple logistic regression, significant correlates of unplanned readmission are (1) prolonged unplanned readmission before study entry, (2) living alone, and (3) hypoalbuminemia. Allocation to the UC regimen was a borderline correlate (P=.06). Significant correlates of mortality are (1) non–English-speaking background, (2) regular home support, and (3) multiple readmissions during study follow-up.


View this table:
[in this window]
[in a new window]
Table 2. Correlates of Unplanned Readmission and Mortality During Study Follow-up



COMMENT
 Jump to Section
 •Top
 •Introduction
 •Participants and methods
 •Results
 •Comment
 •Author information
 •References

Despite the introduction of more effective modalities of treatment (most notably angiotensin-converting enzyme inhibitors),16-18 CHF is associated with poor quality of life,19-20 frequent and costly hospitalizations,5-9 and approximately 50% mortality at 5 years21; among New York Heart Association class IV patients, mortality is as high as 60% to 80% at 2 years.16, 21-22 In theory, elderly patients with CHF would benefit most from interventions that address those factors associated with increased hospital use, including malcompliance with, or adverse effects of, treatment regimen23-27; inadequate follow-up10, 28-31; suboptimal use of medical care30-32; and early clinical deterioration.30, 32-34 We postulated that an early HBI program might ameliorate all of these factors (both directly and via increased vigilance of patients' physicians, community pharmacists, and caregivers) and might be most effective in reducing readmissions among patients with CHF and clinically significant impaired systolic function and a history of 1 or more hospitalizations for acute heart failure.

During follow-up, patients in the HBI group had significantly fewer unplanned readmissions plus out-of-hospital deaths. Despite the greater number of deaths in the UC group (and hence no further potential for admission), there was still a 42% difference in overall duration of hospital stay. The overall improvement in health outcomes among patients assigned to HBI is consistent with the degree of intervention during, and subsequent to, the home visit. Many of the problems uncovered during this visit would have hitherto remained undetected. Analysis of the pattern and potential predictors of an unplanned readmission suggest that this type of HBI is most effective among patients with problems that contribute to poor control of their CHF resulting in multiple readmissions, especially if they have more severe systolic dysfunction or less social support. There was also a trend toward fewer out-of-hospital deaths among patients assigned to HBI; the present study was not designed, however, to explore mode of putative effect.

The present study should be compared with 3 previously reported, randomized controlled investigations including high proportions of patients with CHF. In 2 of these studies, "broad" interventions (comprehensive discharge planning10 and increased access to outpatient primary care11) yielded inconclusive and unfavorable results, respectively, in relation to extent and duration of rehospitalization. In the remaining study, however, use of a similar but more intensive intervention specific to management of CHF was associated with a significant increase in the time to first readmission or out-of-hospital death at 3 months after discharge.8 As with the present study, the difference between groups regarding frequency of readmissions was largely mediated via fewer multiple readmissions among patients exposed to the nurse-directed HBI. It is possible that the success of the regimen examined in the present study may result from a combination of a home visit (a central component of the approach used by Rich et al8) with a broad-based examination of chronic morbidity: in the present study, as in some previous investigations in patients with CHF,6, 22, 35-36 approximately 40% of readmissions were primarily associated with conditions other than CHF.

Several correlates of unplanned readmission among this cohort are consistent with previous studies, including greater hospital use before follow-up,6, 9 previous hospitalization associated with an ischemic syndrome,9, 37 hypoalbuminemia,36 and living alone.25, 32-33

One explanation for the results of this study might be that patients in the UC group received inadequate care relative to currently established norms, resulting in a higher incidence of readmission and mortality. However, clinical data, pharmacotherapy, and morbidity were all similar to data for analogous groups in recent publications5-9 and guidelines for the management of CHF.21 In a recent multicenter study6 of hospital readmissions and mortality among a broad population of patients with CHF in the United States, the 6-month rates of readmission and mortality were 44% and 24%, respectively. In the present study, the proportion of patients assigned to UC who were readmitted at 6 months was not unexpectedly higher at 65% (95% CI, 49%-78%), and mortality was similar at 25% (95% CI, 14%-40%).

The results of this preliminary study are promising. However, it would be appropriate to confirm the efficacy of this type of HBI and to explore the potential mechanisms of beneficial effect in a randomized controlled study that (1) includes a similar cohort of high-risk patients with CHF, (2) is sufficiently powered to detect significant differences in all the end points examined in the present study, and (3) assesses any potential improvement in patient quality of life or functional status.


AUTHOR INFORMATION
 Jump to Section
 •Top
 •Introduction
 •Participants and methods
 •Results
 •Comment
 •Author information
 •References

Accepted for publication August 8, 1997.

Supported by grant 95/34956 from the Commonwealth Department of Health and Family Services, Canberra, Australia, through the Pharmaceutical Education Program.

Mr Stewart is a recipient of a National Heart Foundation of Australia Postgraduate Medical Research Scholarship.

Reprints: J. D. Horowitz, MBBS, PhD, Cardiology Unit, The Queen Elizabeth Hospital, 28 Woodville Rd, Woodville, South Australia 5011.

From the Cardiology Unit of The Queen Elizabeth Hospital/University of Adelaide, Woodville, South Australia.


REFERENCES
 Jump to Section
 •Top
 •Introduction
 •Participants and methods
 •Results
 •Comment
 •Author information
 •References

1. Schroeder SA, Showstack JA, Roberts HE. Frequency and clinical description of high-cost patients. N Engl J Med. 1979;300:1306-1309. ABSTRACT
2. Zook CJ, Moore FD. High-cost users of medical care. N Engl J Med. 1980;302:996-1002. ABSTRACT
3. Anderson GF, Steinberg EP. Hospital readmissions in the Medicare population. N Engl J Med. 1984;311:1349-1353. ABSTRACT
4. Graves EJ. 1989 Summary: National Hospital Discharge Survey: Advance Data from Vital and Health Statistics. Hyattsville, Md: Public Health Service; 1991. Publication 199.
5. Gooding J, Jette AM. Hospital readmissions among the elderly. J Am Geriatr Soc. 1985;33:595-601. ISI | PUBMED
6. Krumholz HM, Parent EM, Tu N, et al. Readmission after hospitalization for congestive heart failure among Medicare beneficiaries. Arch Intern Med. 1997;157:99-104. ABSTRACT
7. Rich MW, Freedland KE. Effect of DRG's on three-month readmission rate of geriatric patients with congestive heart failure. Am J Public Health. 1988;78:680-684. FREE FULL TEXT
8. Rich MW, Beckham V, Wittenberg C, Leven CL, Freedland KE, Carney RM. A multidisciplinary intervention to prevent the readmission of elderly patients with congestive heart failure. N Engl J Med. 1995;333:1190-1195. FREE FULL TEXT
9. Vinson JM, Rich MW, Sperry JC, Shah AS, McNamara T. Early readmission of elderly patients with congestive heart failure. J Am Geriatr Soc. 1990;38:1290-1295. ISI | PUBMED
10. Naylor M, Brooten D, Jones R, Lavizzo-Mourey R, Mezey M, Pauley M. Comprehensive discharge planning for the hospitalized elderly. Ann Intern Med. 1994;120:999-1006. FREE FULL TEXT
11. Weinberger M, Oddone EZ, Henderson WG. Does increased access to primary care reduce hospital readmissions? N Engl J Med. 1996;334:1441-1447. FREE FULL TEXT
12. Stewart S, Pearson S, Luke CG, Horowitz JD. Effects of a home-based intervention on unplanned readmissions and out-of-hospital deaths. J Am Geriatr Soc. 1998;46:174-180. ISI | PUBMED
13. Mahydoon R, Klein RK, Jeffrey WE, Lakier JB, Chakko SC, Gheorghiade M. Radiographic pulmonary congestion in end-stage congestive heart failure. Am J Cardiol. 1989;63:625-627. FULL TEXT | ISI | PUBMED
14. Packer M, O'Connor C, Ghali J, et al. Effect of amlodipine on morbidity and mortality in severe chronic heart failure. N Engl J Med. 1996;335:1107-1114. FREE FULL TEXT
15. Charlson ME, Pompei P, Ales KL, McKenzie RC. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373-383. FULL TEXT | ISI | PUBMED
16. The CONSENSUS Trial Study Group. Effects of enalapril on mortality in severe congestive heart failure: results of the Cooperative North Scandinavian Enalapril Survival Study (CONSENSUS). N Engl J Med. 1987;316:1429-1435. ABSTRACT
17. The SOLVD Investigators. Effect of enalapril on survival in patients with reduced left ventricular ejection fractions and congestive heart failure. N Engl J Med. 1991;325:293-302. ABSTRACT
18. The SOLVD Investigators. Effect of enalapril on mortality and the development of heart failure in asymptomatic patients with reduced left ventricular ejection fractions. N Engl J Med. 1992;327:685-691. ABSTRACT
19. Gorkin L, Norvell NK, Rosen RC, et al. Assessment of quality of life as observed from the baseline data of the studies of left ventricular dysfunction (SOLVD) trial quality-of-life substudy. Am J Cardiol. 1993;71:1069-1073. FULL TEXT | ISI | PUBMED
20. Rector TS, Kubo SH, Cohn JN. Validity of the Minnesota Living With Heart Failure Questionnaire as a measure of therapeutic response to enalapril or placebo. Am J Cardiol. 1993;71:1106-1107. FULL TEXT | ISI | PUBMED
21. ACC/AHA Task Force on Practice Guidelines (Committee on Evaluation and Management of Heart Failure). Guidelines for the evaluation and management of heart failure. J Am Coll Cardiol. 1995;26:1376-1398. ISI | PUBMED
22. Stevenson W, Stevenson L, Middlekauff H, et al. Improving survival for patients with advanced heart failure: a study of 737 consecutive patients. J Am Coll Cardiol. 1995;26:1417-1423. ABSTRACT
23. Col N, Fanale JE, Kronholm P. The role of medication noncompliance and adverse drug reactions in hospitalizations of the elderly. Arch Intern Med. 1990;150:841-845. ABSTRACT
24. Larmour I, Dolphin RG, Baxter H, Morrisson S, Hooke DH, McGrath BP. A prospective study of hospital admissions due to drug reactions. Aust J Hosp Pharm. 1991;21:90-95.
25. Stewart S, Davey M, Desanctis M, et al. Home medication management: a study of patient post-hospitalisation. Aust Pharm. 1995;14:472-476.
26. Hewitt J. Drug-related unplanned readmissions to hospital. Aust J Hosp Pharm. 1995;25:400-403.
27. Dartnell JG, Anderson RP, Chohan V, et al. Hospitalisation for adverse events related to drug therapy: incidence, avoidability and costs. Med J Aust. 1996;164:659-662. ISI | PUBMED
28. Ashton CM, Kuykendall DH, Johnson ML, Wray NPW, Wu L. The association between quality of inpatient care and early readmission. Ann Intern Med. 1995;122:415-421. FREE FULL TEXT
29. Evans RL, Hendricks RD, Lawrence KV, Bishop DS. Identifying factors associated with health care use: a hospital-based screening index. Soc Sci Med. 1988;27:947-954.
30. Mason WB, Bedwell LC, Zwagg RV, Runyan JW. Why people are hospitalized. Med Care. 1980;18:147-163. FULL TEXT | ISI | PUBMED
31. Fitzgerald JF, Smith DM, Martin DK, Freedman JA, Katz BP. A case manager intervention to reduce readmissions. Arch Intern Med. 1994;154:1721-1729. ABSTRACT
32. Bigby JA, Dunn J, Goldman L, et al. Assessing the preventability of emergency hospital admissions. Am J Med. 1987;83:1031-1036. FULL TEXT | ISI | PUBMED
33. Williams EI, Fitton F. Factors affecting early unplanned readmission of elderly patients to hospital. BMJ. 1988;297:784-787.
34. Victor CR, Vetter NJ. The early readmission of the elderly to hospital. Age Ageing. 1985;14:37-42. FREE FULL TEXT
35. The Digitalis Investigation Group. The effect of digoxin on mortality and morbidity in patients with heart failure. N Engl J Med. 1997;336:525-533. FREE FULL TEXT
36. Rich MW, Gray DB, Beckham V, Wittenberg C, Luther P. Effect of a multi-disciplinary intervention on medication compliance in elderly patients with congestive heart failure. Am J Med. 1996;101:270-276. FULL TEXT | ISI | PUBMED
37. Franciosa JA, Wilen M, Ziesche S, Cohen JN. Survival in men with severe chronic left ventricular failure due to either coronary heart disease or idiopathic dilated cardiomyopathy. Am J Cardiol. 1983;51:831-836. FULL TEXT | ISI | PUBMED

RELATED LETTER

Heart Failure Management Programs Reduce Readmissions and Prolong Survival—Reply
Femida H. Gwadry-Sridhar, Virginia Flintoft, Douglas S. Lee, and Gordon H. Guyatt
Arch Intern Med. 2005;165(11):1311-1312.
EXTRACT | FULL TEXT  


THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES

What Works In Chronic Care Management: The Case Of Heart Failure
Sochalski et al.
Health Aff (Millwood) 2009;28:179-189.
ABSTRACT | FULL TEXT  

Statistical Models and Patient Predictors of Readmission for Heart Failure: A Systematic Review
Ross et al.
Arch Intern Med 2008;168:1371-1386.
ABSTRACT | FULL TEXT  

Caveat Emptor: The Need for Evidence, Regulation, and Certification of Home Telehealth Systems for the Management of Chronic Conditions
Farberow et al.
American Journal of Medical Quality 2008;23:208-214.
ABSTRACT  

Pharmacist Care of Patients With Heart Failure: A Systematic Review of Randomized Trials
Koshman et al.
Arch Intern Med 2008;168:687-694.
ABSTRACT | FULL TEXT  

Evidence-Based Interventions to Improve the Palliative Care of Pain, Dyspnea, and Depression at the End of Life: A Clinical Practice Guideline from the American College of Physicians
Qaseem et al.
ANN INTERN MED 2008;148:141-146.
ABSTRACT | FULL TEXT  

Added value of a physician-and-nurse-directed heart failure clinic: results from the Deventer-Alkmaar heart failure study
de la Porte et al.
Heart 2007;93:819-825.
ABSTRACT | FULL TEXT  

Effectiveness of visits from community pharmacists for patients with heart failure: HeartMed randomised controlled trial
Holland et al.
BMJ 2007;334:1098-1098.
ABSTRACT | FULL TEXT  

Pharmacist Intervention to Improve Medication Adherence in Heart Failure: A Randomized Trial
Murray et al.
ANN INTERN MED 2007;146:714-725.
ABSTRACT | FULL TEXT  

Extending the Horizon in Chronic Heart Failure: Effects of Multidisciplinary, Home-Based Intervention Relative to Usual Care
Inglis et al.
Circulation 2006;114:2466-2473.
ABSTRACT | FULL TEXT  

A Taxonomy for Disease Management: A Scientific Statement From the American Heart Association Disease Management Taxonomy Writing Group
Krumholz et al.
Circulation 2006;114:1432-1445.
ABSTRACT | FULL TEXT  

The care transitions intervention: results of a randomized controlled trial.
Coleman et al.
Arch Intern Med 2006;166:1822-1828.
ABSTRACT | FULL TEXT  

Prolonged effects of a home-based intervention in patients with chronic illness.
Pearson et al.
Arch Intern Med 2006;166:645-650.
ABSTRACT | FULL TEXT  

Disease management programmes for older people with heart failure: crucial characteristics which improve post-discharge outcomes
Yu et al.
Eur Heart J 2006;27:596-612.
ABSTRACT | FULL TEXT  

Systematic review of multidisciplinary interventions in heart failure
Holland et al.
Heart 2005;91:899-906.
ABSTRACT | FULL TEXT  

Heart Failure Management Programs Reduce Readmissions and Prolong Survival--Reply
Gwadry-Sridhar et al.
Arch Intern Med 2005;165:1311-1312.
FULL TEXT  

Guidelines for the diagnosis and treatment of chronic heart failure: executive summary (update 2005): The Task Force for the Diagnosis and Treatment of Chronic Heart Failure of the European Society of Cardiology
Authors/Task Force Members et al.
Eur Heart J 2005;26:1115-1140.
FULL TEXT  

The role of nurses in the management of heart failure
Grange
Heart 2005;91:ii39-ii42.
ABSTRACT | FULL TEXT  

Follow up of people aged 65 and over with a history of emergency admissions: analysis of routine admission data
Roland et al.
BMJ 2005;330:289-292.
ABSTRACT | FULL TEXT  

Discharge Education Improves Clinical Outcomes in Patients With Chronic Heart Failure
Koelling et al.
Circulation 2005;111:179-185.
ABSTRACT | FULL TEXT  

Long-Term Healthcare and Cost Outcomes of Disease Management in a Large, Randomized, Community-Based Population With Heart Failure
Galbreath et al.
Circulation 2004;110:3518-3526.
ABSTRACT | FULL TEXT  

A Systematic Review and Meta-analysis of Studies Comparing Readmission Rates and Mortality Rates in Patients With Heart Failure
Gwadry-Sridhar et al.
Arch Intern Med 2004;164:2315-2320.
ABSTRACT | FULL TEXT  

Care Management for Low-Risk Patients with Heart Failure: A Randomized, Controlled Trial
DeBusk et al.
ANN INTERN MED 2004;141:606-613.
ABSTRACT | FULL TEXT  

Lost in Transition: Challenges and Opportunities for Improving the Quality of Transitional Care
Coleman and Berenson
ANN INTERN MED 2004;141:533-536.
ABSTRACT | FULL TEXT  

The effectiveness of disease management programmes in reducing hospital re-admission in older patients with heart failure: a systematic review and meta-analysis of published reports
Gonseth et al.
Eur Heart J 2004;25:1570-1595.
ABSTRACT | FULL TEXT  

Heart failure clinics and outpatient management: review of the evidence and call for quality assurance
Gustafsson and Arnold
Eur Heart J 2004;25:1596-1604.
ABSTRACT | FULL TEXT  

Multidisciplinary strategies for the management of heart failure patients at high risk for admission: A systematic review of randomized trials
McAlister et al.
J Am Coll Cardiol 2004;44:810-819.
ABSTRACT | FULL TEXT  

Variables Predictive of Poor Postdischarge Outcomes for Hospitalized Elders in Heart Failure
Roe-Prior
West J Nurs Res 2004;26:533-546.
ABSTRACT  

Interventions to Prevent Readmission for Congestive Heart Failure
Riegel et al.
JAMA 2004;291:2816-2816.
FULL TEXT  

Interventions to Prevent Readmission for Congestive Heart Failure--Reply
Phillips et al.
JAMA 2004;291:2816-2817.
FULL TEXT  

Comprehensive Discharge Planning With Postdischarge Support for Older Patients With Congestive Heart Failure: A Meta-analysis
Phillips et al.
JAMA 2004;291:1358-1367.
ABSTRACT | FULL TEXT  

Predischarge B-type natriuretic peptide assay for identifying patients at high risk of re-admission after decompensated heart failure
Logeart et al.
J Am Coll Cardiol 2004;43:635-641.
ABSTRACT | FULL TEXT  

The effect of an integrated care approach for heart failure on general practice
Pearl et al.
Fam Pract 2003;20:642-645.
ABSTRACT | FULL TEXT  

Practical Utility of Case-Management Telephone Intervention in Heart Failure?
Peterson and Riegel
Arch Intern Med 2002;162:2142-2143.
FULL TEXT  

Depression-Related Costs in Heart Failure Care
Sullivan et al.
Arch Intern Med 2002;162:1860-1866.
ABSTRACT | FULL TEXT  

Home-Based Intervention in Congestive Heart Failure: Long-Term Implications on Readmission and Survival
Stewart and Horowitz
Circulation 2002;105:2861-2866.
ABSTRACT | FULL TEXT  

Hospitalization of patients with heart failure. A population-based study
Cowie et al.
Eur Heart J 2002;23:877-885.
ABSTRACT | FULL TEXT  

Effect of a Standardized Nurse Case-Management Telephone Intervention on Resource Use in Patients With Chronic Heart Failure
Riegel et al.
Arch Intern Med 2002;162:705-71