Literature DB >> 11020395

Unplanned readmissions of patients with congestive heart failure: do they reflect in-hospital quality of care or patient characteristics?

M P Kossovsky1, F P Sarasin, T V Perneger, P Chopard, P Sigaud, J Gaspoz.   

Abstract

PURPOSE: To determine if early unplanned readmissions of patients hospitalized for heart failure are associated with suboptimal in-hospital care or with the clinical and demographic characteristics of the patient. SUBJECT AND METHODS: We performed a case-control study among patients discharged with a principal diagnosis of heart failure. Cases included all patients unexpectedly readmitted within 31 days of discharge; controls were randomly selected from among those not readmitted. Quality of care was measured using explicit criteria reflecting the admission work-up, evaluation and treatment, and readiness for discharge.
RESULTS: Ninety-one cases and 351 controls were included. There was no significant association between early unplanned readmissions and the scores for quality of the admission work-up or evaluation and treatment during the stay. There was a significant association between readiness for discharge and subsequent early readmission: for each 10% decrease in the proportion of fulfilled criteria, the odds of readmission increased by 14% (95% confidence interval [CI] 1. 01 to 1.28, P = 0.04) for all-cause readmissions and by 19% (95% CI: 1.04 to 1.36, P = 0.01) for heart-failure-related readmissions. In a multiple logistic regression model, previous diagnosis of heart failure (odds ratio [OR] = 2.9, 95% CI: 1.7 to 4.8, P <0.001), age (OR = 3.3, 95% CI: 1.3 to 8.5, P = 0.01 for patients aged 65 to 79 years and OR = 4.1, 95% CI: 1.6 to 11, P = 0.004 for patients aged 80 years and older), and history of cardiac revascularization (OR = 2.1, 95% CI: 1.2 to 3.9, P = 0.01) showed a stronger association with early unplanned all-cause readmissions than the readiness-for-discharge score (OR = 1.16, 95% CI: 1.02 to 1.31, P = 0.02). Similar findings were seen for heart failure-related readmissions.
CONCLUSIONS: Among patients with heart failure, early unplanned readmissions were not associated with suboptimal admission work-up or evaluation and treatment but were weakly associated with readiness for discharge. However, they were strongly associated with the patients' clinical and demographic characteristics.

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Year:  2000        PMID: 11020395     DOI: 10.1016/s0002-9343(00)00489-7

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  22 in total

1.  Is readmission to hospital an indicator of poor process of care for patients with heart failure?

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2.  Perceptions of hospital safety climate and incidence of readmission.

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3.  Racial/ethnic disparities in potentially preventable readmissions: the case of diabetes.

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Review 4.  Prognostic factors in patients hospitalized for heart failure.

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5.  Health Literacy Predicts Morbidity and Mortality in Rural Patients With Heart Failure.

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6.  Relationship between hospital length of stay and quality of care in patients with congestive heart failure.

Authors:  M P Kossovsky; F P Sarasin; P Chopard; M Louis-Simonet; P Sigaud; T V Perneger; J M Gaspoz
Journal:  Qual Saf Health Care       Date:  2002-09

Review 7.  Patient Characteristics Predicting Readmission Among Individuals Hospitalized for Heart Failure.

Authors:  Melissa O'Connor; Christopher M Murtaugh; Shivani Shah; Yolanda Barrón-Vaya; Kathryn H Bowles; Timothy R Peng; Carolyn W Zhu; Penny H Feldman
Journal:  Med Care Res Rev       Date:  2015-07-14       Impact factor: 3.929

8.  Quality of surgical care and readmission in elderly glioblastoma patients.

Authors:  Miriam Nuño; Diana Ly; Debraj Mukherjee; Alicia Ortega; Keith L Black; Chirag G Patil
Journal:  Neurooncol Pract       Date:  2014-05-19

9.  The role of outpatient facilities in explaining variations in risk-adjusted readmission rates between hospitals.

Authors:  Scott A Lorch; Michael Baiocchi; Jeffrey H Silber; Orit Even-Shoshan; Gabriel J Escobar; Dylan S Small
Journal:  Health Serv Res       Date:  2009-09-24       Impact factor: 3.402

10.  Hospital readmission in general medicine patients: a prediction model.

Authors:  Omar Hasan; David O Meltzer; Shimon A Shaykevich; Chaim M Bell; Peter J Kaboli; Andrew D Auerbach; Tosha B Wetterneck; Vineet M Arora; James Zhang; Jeffrey L Schnipper
Journal:  J Gen Intern Med       Date:  2009-12-15       Impact factor: 5.128

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