Literature DB >> 18270221

Variations in hospital resource use for Medicare and privately insured populations in California.

Laurence C Baker1, Elliott S Fisher, John E Wennberg.   

Abstract

The amount of resources used in the care of chronically ill Medicare fee-for-service (FFS) patients varies widely across hospitals. We studied variations across California hospitals in hospital resource use for chronically ill patients covered by Medicare health maintenance organizations (HMOs) and private insurers and found substantial variation in all of the coverage groups studied. Resource-use measures based on Medicare FFS data often reflect patterns evident for other payers. Previous estimates of savings if the most resource-intensive hospitals more closely resembled less resource-intensive hospitals, based on just Medicare FFS spending, could underestimate possible savings when other payers are taken into account.

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Year:  2008        PMID: 18270221     DOI: 10.1377/hlthaff.27.2.w123

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


  23 in total

1.  The relationship between health plan performance measures and physician network overlap: implications for measuring plan quality.

Authors:  Daniel D Maeng; Dennis P Scanlon; Michael E Chernew; Tim Gronniger; Walter P Wodchis; Catherine G McLaughlin
Journal:  Health Serv Res       Date:  2010-04-09       Impact factor: 3.402

2.  The elusive connection between health care spending and quality.

Authors:  Jonathan Skinner; Amitabh Chandra; David Goodman; Elliott S Fisher
Journal:  Health Aff (Millwood)       Date:  2008-12-04       Impact factor: 6.301

3.  Inpatient care intensity and patients' ratings of their hospital experiences.

Authors:  John E Wennberg; Kristen Bronner; Jonathan S Skinner; Elliott S Fisher; David C Goodman
Journal:  Health Aff (Millwood)       Date:  2009 Jan-Feb       Impact factor: 6.301

4.  The underuse of overuse research.

Authors:  Salomeh Keyhani; Albert L Siu
Journal:  Health Serv Res       Date:  2008-12       Impact factor: 3.402

5.  HMO coverage reduces variations in the use of health care among patients under age sixty-five.

Authors:  Laurence C Baker; M Kate Bundorf; Daniel P Kessler
Journal:  Health Aff (Millwood)       Date:  2010-11       Impact factor: 6.301

6.  Research priorities for high-quality geriatric emergency care: medication management, screening, and prevention and functional assessment.

Authors:  Christopher R Carpenter; Kennon Heard; Scott Wilber; Adit A Ginde; Kirk Stiffler; Lowell W Gerson; Neal S Wenger; Douglas K Miller
Journal:  Acad Emerg Med       Date:  2011-06       Impact factor: 3.451

7.  Geographic correlation between large-firm commercial spending and Medicare spending.

Authors:  Michael E Chernew; Lindsay M Sabik; Amitabh Chandra; Teresa B Gibson; Joseph P Newhouse
Journal:  Am J Manag Care       Date:  2010-02       Impact factor: 2.229

8.  Geographic variation in cardiovascular procedure use among Medicare fee-for-service vs Medicare Advantage beneficiaries.

Authors:  Daniel D Matlock; Peter W Groeneveld; Steve Sidney; Susan Shetterly; Glenn Goodrich; Karen Glenn; Stan Xu; Lin Yang; Steven A Farmer; Kristi Reynolds; Andrea E Cassidy-Bushrow; Tracy Lieu; Denise M Boudreau; Robert T Greenlee; Jeffrey Tom; Suma Vupputuri; Kenneth F Adams; David H Smith; Margaret J Gunter; Alan S Go; David J Magid
Journal:  JAMA       Date:  2013-07-10       Impact factor: 56.272

9.  Bias in comparative effectiveness studies due to regional variation in medical practice intensity: a legitimate concern, or much ado about nothing?

Authors:  Krista F Huybrechts; John D Seeger; Kenneth J Rothman; Robert J Glynn; Jerry Avorn; Sebastian Schneeweiss
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2012-09-01

10.  Variation in use of echocardiography among veterans who use the Veterans Health Administration vs Medicare.

Authors:  Vinay Kini; Fenton H McCarthy; Sheeva Rajaei; Andrew J Epstein; Paul A Heidenreich; Peter W Groeneveld
Journal:  Am Heart J       Date:  2015-07-26       Impact factor: 4.749

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