Literature DB >> 23072736

Rates and predictors of 30-day readmission among commercially insured and Medicaid-enrolled patients hospitalized with systolic heart failure.

Larry A Allen1, Karen E Smoyer Tomic, David M Smith, Kathleen L Wilson, Irene Agodoa.   

Abstract

BACKGROUND: Heart failure (HF) readmission rates are primarily derived from Medicare enrollees. Given increasing public scrutiny of HF readmissions, understanding the rate and predictors in populations covered by other payers is also important, particularly among patients with systolic dysfunction, for whom most HF-specific therapies are targeted. METHODS AND
RESULTS: MarketScan Commercial and Medicaid Administrative Claims Databases were used to identify all first hospitalizations with an International Classification of Diseases-9 discharge diagnosis code for HF (primary position) and systolic HF (any position) between January 1, 2005, and June 30, 2008. Among 4584 unique systolic HF index admissions (mean age 55 years), 30-day crude readmission rates were higher for Medicaid than commercially insured patients: all-cause 17.4% versus 11.8%; HF-related 6.7% versus 4.0%, respectively. In unadjusted analysis, higher comorbidity and prior healthcare utilization predicted readmission; age, sex, and plan type did not. After adjustment for case mix, the odds of all-cause and HF-related readmission were 32% and 68% higher, respectively, among Medicaid than commercially insured patients (P<0.02 for both). No significant differences in readmission rates were seen for managed care versus fee-for-service or capitated versus noncapitated plan types.
CONCLUSIONS: Compared with commonly cited Medicare HF readmission rates of 20% to 25%, Medicaid patients with systolic HF had lower 30-day readmission rates, and commercially insured patients had even lower rates. Even after adjustment for case mix, Medicaid patients were more likely to be readmitted than commercially insured patients, suggesting that more attention should be focused on readmissions among socioeconomically disadvantaged populations.

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Year:  2012        PMID: 23072736      PMCID: PMC3873644          DOI: 10.1161/CIRCHEARTFAILURE.112.967356

Source DB:  PubMed          Journal:  Circ Heart Fail        ISSN: 1941-3289            Impact factor:   8.790


  19 in total

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Authors:  Sharon Ann Hunt; William T Abraham; Marshall H Chin; Arthur M Feldman; Gary S Francis; Theodore G Ganiats; Mariell Jessup; Marvin A Konstam; Donna M Mancini; Keith Michl; John A Oates; Peter S Rahko; Marc A Silver; Lynne Warner Stevenson; Clyde W Yancy
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5.  Rehospitalizations among patients in the Medicare fee-for-service program.

Authors:  Stephen F Jencks; Mark V Williams; Eric A Coleman
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6.  An administrative claims measure suitable for profiling hospital performance on the basis of 30-day all-cause readmission rates among patients with heart failure.

Authors:  Patricia S Keenan; Sharon-Lise T Normand; Zhenqiu Lin; Elizabeth E Drye; Kanchana R Bhat; Joseph S Ross; Jeremiah D Schuur; Brett D Stauffer; Susannah M Bernheim; Andrew J Epstein; Yongfei Wang; Jeph Herrin; Jersey Chen; Jessica J Federer; Jennifer A Mattera; Yun Wang; Harlan M Krumholz
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7.  Measuring performance for treating heart attacks and heart failure: the case for outcomes measurement.

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Review 9.  Statistical models and patient predictors of readmission for heart failure: a systematic review.

Authors:  Joseph S Ross; Gregory K Mulvey; Brett Stauffer; Vishnu Patlolla; Susannah M Bernheim; Patricia S Keenan; Harlan M Krumholz
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10.  Patterns of hospital performance in acute myocardial infarction and heart failure 30-day mortality and readmission.

Authors:  Harlan M Krumholz; Angela R Merrill; Eric M Schone; Geoffrey C Schreiner; Jersey Chen; Elizabeth H Bradley; Yun Wang; Yongfei Wang; Zhenqiu Lin; Barry M Straube; Michael T Rapp; Sharon-Lise T Normand; Elizabeth E Drye
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2009-07-09
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1.  Patient Readmission Rates For All Insurance Types After Implementation Of The Hospital Readmissions Reduction Program.

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Review 3.  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
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6.  Readmission and Late Mortality After Critical Illness in Childhood.

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7.  All-Payer Analysis of Heart Failure Hospitalization 30-Day Readmission: Comorbidities Matter.

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8.  Heart failure readmissions.

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Review 10.  Determinants of survival following hospitalization for acute heart failure.

Authors:  Marwan F Jumean; Michael S Kiernan
Journal:  Curr Heart Fail Rep       Date:  2014-06
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