Literature DB >> 22869652

Based on key measures, care quality for Medicare enrollees at safety-net and non-safety-net hospitals was almost equal.

Joseph S Ross1, Susannah M Bernheim, Zhenqiu Lin, Elizabeth E Drye, Jersey Chen, Sharon-Lise T Normand, Harlan M Krumholz.   

Abstract

Safety-net hospitals, which include urban hospitals serving large numbers of low-income, uninsured, and otherwise vulnerable populations, have historically faced greater financial strains than hospitals that serve more affluent populations. These strains can affect hospitals' quality of care, perhaps resulting in worse outcomes that are commonly used as indicators of care quality-mortality and readmission rates. We compared risk-standardized rates of both of these clinical outcomes among fee-for-service Medicare beneficiaries admitted for acute myocardial infarction, heart failure, or pneumonia. These beneficiaries were admitted to urban hospitals within Metropolitan Statistical Areas that contained at least one safety-net and at least one non-safety-net hospital. We found that outcomes varied across the urban areas for both safety-net and non-safety-net hospitals for all three conditions. However, mortality and readmission rates were broadly similar, with non-safety-net hospitals outperforming safety-net hospitals on average by less than one percentage point across most conditions. For heart failure mortality, there was no difference between safety-net and non-safety-net hospitals. These findings suggest that safety-net hospitals are performing better than many would have expected.

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Year:  2012        PMID: 22869652      PMCID: PMC3527010          DOI: 10.1377/hlthaff.2011.1028

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  29 in total

1.  Sample size considerations in observational health care quality studies.

Authors:  Sharon-Lise T Normand; Kelly H Zou
Journal:  Stat Med       Date:  2002-02-15       Impact factor: 2.373

2.  Are urban safety-net hospitals losing low-risk Medicaid maternity patients?

Authors:  D J Gaskin; J Hadley; V G Freeman
Journal:  Health Serv Res       Date:  2001-04       Impact factor: 3.402

3.  An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with heart failure.

Authors:  Harlan M Krumholz; Yun Wang; Jennifer A Mattera; Yongfei Wang; Lein Fang Han; Melvin J Ingber; Sheila Roman; Sharon-Lise T Normand
Journal:  Circulation       Date:  2006-03-20       Impact factor: 29.690

4.  Effect of cuts in Medicare reimbursement on process and outcome of care for acute myocardial infarction patients.

Authors:  Kevin G Volpp; R Tamara Konetzka; Jingsan Zhu; Lori Parsons; Eric Peterson
Journal:  Circulation       Date:  2005-10-03       Impact factor: 29.690

5.  Mortality after acute myocardial infarction in hospitals that disproportionately treat black patients.

Authors:  Jonathan Skinner; Amitabh Chandra; Douglas Staiger; Julie Lee; Mark McClellan
Journal:  Circulation       Date:  2005-10-25       Impact factor: 29.690

6.  The effect of cuts in medicare reimbursement on hospital mortality.

Authors:  Meena Seshamani; J Sanford Schwartz; Kevin G Volpp
Journal:  Health Serv Res       Date:  2006-06       Impact factor: 3.402

7.  The effect of financial pressure on the quality of care in hospitals.

Authors:  Yu-Chu Shen
Journal:  J Health Econ       Date:  2003-03       Impact factor: 3.883

8.  Availability of safety net providers and access to care of uninsured persons.

Authors:  Jack Hadley; Peter Cunningham
Journal:  Health Serv Res       Date:  2004-10       Impact factor: 3.402

9.  Market reform in New Jersey and the effect on mortality from acute myocardial infarction.

Authors:  Kevin G M Volpp; Sankey V Williams; Joel Waldfogel; Jeffrey H Silber; J Sanford Schwartz; Mark V Pauly
Journal:  Health Serv Res       Date:  2003-04       Impact factor: 3.402

10.  An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction.

Authors:  Harlan M Krumholz; Yun Wang; Jennifer A Mattera; Yongfei Wang; Lein Fang Han; Melvin J Ingber; Sheila Roman; Sharon-Lise T Normand
Journal:  Circulation       Date:  2006-03-20       Impact factor: 29.690

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  26 in total

1.  ACC/AHA/AACVPR/AAFP/ANA concepts for clinician-patient shared accountability in performance measures: a report of the American College of Cardiology/American Heart Association Task Force on Performance Measures.

Authors:  Eric D Peterson; P Michael Ho; Mary Barton; Craig Beam; L Hayley Burgess; Donald E Casey; Joseph P Drozda; Gregg C Fonarow; David Goff; Kathleen L Grady; Dana E King; Marjorie L King; Frederick A Masoudi; David R Nielsen; Stephen Stanko
Journal:  Circulation       Date:  2014-11-03       Impact factor: 29.690

2.  Association of Admission to Veterans Affairs Hospitals vs Non-Veterans Affairs Hospitals With Mortality and Readmission Rates Among Older Men Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia.

Authors:  Sudhakar V Nuti; Li Qin; John S Rumsfeld; Joseph S Ross; Frederick A Masoudi; Sharon-Lise T Normand; Karthik Murugiah; Susannah M Bernheim; Lisa G Suter; Harlan M Krumholz
Journal:  JAMA       Date:  2016-02-09       Impact factor: 56.272

3.  Hospital discharge and the transition home for poor patients: "I knew I couldn't do what they were asking me".

Authors:  Susannah M Bernheim; Joseph S Ross
Journal:  J Gen Intern Med       Date:  2014-02       Impact factor: 5.128

4.  Impact of Risk Adjustment for Socioeconomic Status on Risk-adjusted Surgical Readmission Rates.

Authors:  Laurent G Glance; Arthur L Kellermann; Turner M Osler; Yue Li; Wenjun Li; Andrew W Dick
Journal:  Ann Surg       Date:  2016-04       Impact factor: 12.969

Review 5.  Current State of Value-Based Purchasing Programs.

Authors:  Tingyin T Chee; Andrew M Ryan; Jason H Wasfy; William B Borden
Journal:  Circulation       Date:  2016-05-31       Impact factor: 29.690

6.  ACC/AHA/AACVPR/AAFP/ANA concepts for clinician-patient shared accountability in performance measures: a report of the American College of Cardiology/American Heart Association Task Force on Performance Measures.

Authors:  Eric D Peterson; P Michael Ho; Mary Barton; Craig Beam; L Hayley Burgess; Donald E Casey; Joseph P Drozda; Gregg C Fonarow; David Goff; Kathleen L Grady; Dana E King; Marjorie L King; Frederick A Masoudi; David R Nielsen; Stephen Stanko
Journal:  J Am Coll Cardiol       Date:  2014-11-03       Impact factor: 24.094

7.  Considering the role of socioeconomic status in hospital outcomes measures.

Authors:  Harlan M Krumholz; Susannah M Bernheim
Journal:  Ann Intern Med       Date:  2014-12-02       Impact factor: 25.391

8.  Hospital Use of Observation Stays: Cross-sectional Study of the Impact on Readmission Rates.

Authors:  Arjun K Venkatesh; Changqin Wang; Joseph S Ross; Faseeha K Altaf; Lisa G Suter; Smitha Vellanky; Jacqueline N Grady; Susannah M Bernheim
Journal:  Med Care       Date:  2016-12       Impact factor: 2.983

9.  Hospital-Readmission Risk - Isolating Hospital Effects from Patient Effects.

Authors:  Harlan M Krumholz; Kun Wang; Zhenqiu Lin; Kumar Dharmarajan; Leora I Horwitz; Joseph S Ross; Elizabeth E Drye; Susannah M Bernheim; Sharon-Lise T Normand
Journal:  N Engl J Med       Date:  2017-09-14       Impact factor: 91.245

10.  Accounting For Patients' Socioeconomic Status Does Not Change Hospital Readmission Rates.

Authors:  Susannah M Bernheim; Craig S Parzynski; Leora Horwitz; Zhenqiu Lin; Michael J Araas; Joseph S Ross; Elizabeth E Drye; Lisa G Suter; Sharon-Lise T Normand; Harlan M Krumholz
Journal:  Health Aff (Millwood)       Date:  2016-08-01       Impact factor: 6.301

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