Literature DB >> 28319580

Hospital Characteristics Associated With Risk-standardized Readmission Rates.

Leora I Horwitz1, Susannah M Bernheim, Joseph S Ross, Jeph Herrin, Jacqueline N Grady, Harlan M Krumholz, Elizabeth E Drye, Zhenqiu Lin.   

Abstract

BACKGROUND: Safety-net and teaching hospitals are somewhat more likely to be penalized for excess readmissions, but the association of other hospital characteristics with readmission rates is uncertain and may have relevance for hospital-centered interventions.
OBJECTIVE: To examine the independent association of 8 hospital characteristics with hospital-wide 30-day risk-standardized readmission rate (RSRR).
DESIGN: This is a retrospective cross-sectional multivariable analysis.
SUBJECTS: US hospitals. MEASURES: Centers for Medicare and Medicaid Services specification of hospital-wide RSRR from July 1, 2013 through June 30, 2014 with race and Medicaid dual-eligibility added.
RESULTS: We included 6,789,839 admissions to 4474 hospitals of Medicare fee-for-service beneficiaries aged over 64 years. In multivariable analyses, there was regional variation: hospitals in the mid-Atlantic region had the highest RSRRs [0.98 percentage points higher than hospitals in the Mountain region; 95% confidence interval (CI), 0.84-1.12]. For-profit hospitals had an average RSRR 0.38 percentage points (95% CI, 0.24-0.53) higher than public hospitals. Both urban and rural hospitals had higher RSRRs than those in medium metropolitan areas. Hospitals without advanced cardiac surgery capability had an average RSRR 0.27 percentage points (95% CI, 0.18-0.36) higher than those with. The ratio of registered nurses per hospital bed was not associated with RSRR. Variability in RSRRs among hospitals of similar type was much larger than aggregate differences between types of hospitals.
CONCLUSIONS: Overall, larger, urban, academic facilities had modestly higher RSRRs than smaller, suburban, community hospitals, although there was a wide range of performance. The strong regional effect suggests that local practice patterns are an important influence. Disproportionately high readmission rates at for-profit hospitals may highlight the role of financial incentives favoring utilization.

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Mesh:

Year:  2017        PMID: 28319580      PMCID: PMC5426655          DOI: 10.1097/MLR.0000000000000713

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  28 in total

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Authors:  Joseph S Ross; Stephen S Cha; Andrew J Epstein; Yongfei Wang; Elizabeth H Bradley; Jeph Herrin; Judith H Lichtman; Sharon-Lise T Normand; Frederick A Masoudi; Harlan M Krumholz
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2.  Readmissions To New York Hospitals Fell For Three Target Conditions From 2008 To 2012, Consistent With Medicare Goals.

Authors:  Kathleen Carey; Meng-Yun Lin
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Review 3.  The quality of care. How can it be assessed?

Authors:  A Donabedian
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4.  Case-mix differences between teaching and nonteaching hospitals.

Authors:  M G Goldfarb; R M Coffey
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5.  Development and use of an administrative claims measure for profiling hospital-wide performance on 30-day unplanned readmission.

Authors:  Leora I Horwitz; Chohreh Partovian; Zhenqiu Lin; Jacqueline N Grady; Jeph Herrin; Mitchell Conover; Julia Montague; Chloe Dillaway; Kathleen Bartczak; Lisa G Suter; Joseph S Ross; Susannah M Bernheim; Harlan M Krumholz; Elizabeth E Drye
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6.  Relationship of hospital teaching status with quality of care and mortality for Medicare patients with acute MI.

Authors:  J J Allison; C I Kiefe; N W Weissman; S D Person; M Rousculp; J G Canto; S Bae; O D Williams; R Farmer; R M Centor
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7.  Variation in surgical-readmission rates and quality of hospital care.

Authors:  Thomas C Tsai; Karen E Joynt; E John Orav; Atul A Gawande; Ashish K Jha
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8.  Pediatric readmission prevalence and variability across hospitals.

Authors:  Jay G Berry; Sara L Toomey; Alan M Zaslavsky; Ashish K Jha; Mari M Nakamura; David J Klein; Jeremy Y Feng; Shanna Shulman; Vincent W Chiang; Vincent K Chiang; William Kaplan; Matt Hall; Mark A Schuster
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9.  The Financial Effect of Value-Based Purchasing and the Hospital Readmissions Reduction Program on Safety-Net Hospitals in 2014: A Cohort Study.

Authors:  Matlin Gilman; Jason M Hockenberry; E Kathleen Adams; Arnold S Milstein; Ira B Wilson; Edmund R Becker
Journal:  Ann Intern Med       Date:  2015-09-15       Impact factor: 25.391

10.  Association of hospital volume with readmission rates: a retrospective cross-sectional study.

Authors:  Leora I Horwitz; Zhenqiu Lin; Jeph Herrin; Susannah Bernheim; Elizabeth E Drye; Harlan M Krumholz; Harold J Hines; Joseph S Ross
Journal:  BMJ       Date:  2015-02-09
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1.  Is Profit Status of Inpatient Rehabilitation Facilities Independently Associated With 30-Day Unplanned Hospital Readmission for Medicare Beneficiaries?

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Journal:  Arch Phys Med Rehabil       Date:  2017-09-25       Impact factor: 3.966

2.  Factors Associated With Multiple Psychiatric Readmissions for Youth With Mood Disorders.

Authors:  Matthew S Phillips; Danielle L Steelesmith; John V Campo; Taniya Pradhan; Cynthia A Fontanella
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2019-06-03       Impact factor: 8.829

3.  CORR Insights®: Are TKAs Performed in High-volume Hospitals Less Likely to Undergo Revision Than TKAs Performed in Low-volume Hospitals?

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4.  Fall Rates in Urban and Rural Nursing Units: Does Location Matter?

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5.  Impact of Self-Care and Mobility on One or More Post-Acute Care Transitions.

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6.  Hospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization.

Authors:  Leora I Horwitz; Yongfei Wang; Faseeha K Altaf; Changqin Wang; Zhenqiu Lin; Shuling Liu; Jacqueline Grady; Susannah M Bernheim; Nihar R Desai; Arjun K Venkatesh; Jeph Herrin
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7.  Differential Impact of Hospital and Community Factors on Medicare Readmission Penalties.

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9.  Substantial hospital level variation in all-cause readmission rates among medicare beneficiaries with serious mental illness.

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10.  Community socioeconomic disadvantage drives type of 30-day medical-surgical revisits among patients with serious mental illness.

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