Literature DB >> 19555398

Provider monitoring and pay-for-performance when multiple providers affect outcomes: An application to renal dialysis.

Richard A Hirth1, Marc N Turenne, John R C Wheeler, Qing Pan, Yu Ma, Joseph M Messana.   

Abstract

OBJECTIVE: To characterize the influence of dialysis facilities and nephrologists on resource use and patient outcomes in the dialysis population and to illustrate how such information can be used to inform payment system design. DATA SOURCES: Medicare claims for all hemodialysis patients for whom Medicare was the primary payer in 2004, combined with the Medicare Enrollment Database and the CMS Medical Evidence Form (CMS Form 2728), which is completed at onset of renal replacement therapy. STUDY
DESIGN: Resource use (mainly drugs and laboratory tests) per dialysis session and two clinical outcomes (achieving targets for anemia management and dose of dialysis) were modeled at the patient level with random effects for nephrologist and dialysis facility, controlling for patient characteristics.
RESULTS: For each measure, both the physician and the facility had significant effects. However, facilities were more influential than physicians, as measured by the standard deviation of the random effects.
CONCLUSIONS: The success of tools such as P4P and provider profiling relies upon the identification of providers most able to enhance efficiency and quality. This paper demonstrates a method for determining the extent to which variation in health care costs and quality of care can be attributed to physicians and institutional providers. Because variation in quality and cost attributable to facilities is consistently larger than that attributable to physicians, if provider profiling or financial incentives are targeted to only one type of provider, the facility appears to be the appropriate locus.

Entities:  

Mesh:

Year:  2009        PMID: 19555398      PMCID: PMC2754549          DOI: 10.1111/j.1475-6773.2009.00990.x

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  18 in total

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2.  Massachusetts cardiac surgery report card: implications of statistical methodology.

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3.  American College of Cardiology 2006 principles to guide physician pay-for-performance programs: a report of the American College of Cardiology Work Group on Pay for Performance (A Joint Working Group of the ACC Quality Strategic Direction Committee and the ACC Advocacy Committee).

Authors:  John E Brush; Harlan M Krumholz; Janet S Wright; Ralph G Brindis; Joseph G Cacchione; Joseph P Drozda; James W Fasules; Kathleen B Flood; Arthur Garson; Frederick A Masoudi; Tilithia McBride; Charles R McKay; Joseph V Messer; Michael J Mirro; Michael F O'Toole; Eric D Peterson; John W Schaeffer; C Michael Valentine
Journal:  J Am Coll Cardiol       Date:  2006-12-19       Impact factor: 24.094

4.  Pay-for-performance: the MedPAC perspective.

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5.  Profiling providers on use of adjuvant chemotherapy by combining cancer registry and medical record data.

Authors:  Hui Zheng; Recai Yucel; John Z Ayanian; Alan M Zaslavsky
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6.  The American health care system--the movement for improved quality in health care.

Authors:  T Bodenheimer
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7.  Understanding the basic case-mix adjustment for the composite rate.

Authors:  John R C Wheeler; Joseph M Messana; Marc N Turenne; Richard A Hirth; Alyssa S Pozniak; Qing Pan; Chien-Chia Chuang; Kathryn Slish; Philip Tedeschi; Erik C Roys; Robert A Wolfe
Journal:  Am J Kidney Dis       Date:  2006-04       Impact factor: 8.860

8.  Application of a propensity score approach for risk adjustment in profiling multiple physician groups on asthma care.

Authors:  I-Chan Huang; Constantine Frangakis; Francesca Dominici; Gregory B Diette; Albert W Wu
Journal:  Health Serv Res       Date:  2005-02       Impact factor: 3.402

9.  Pay for performance in commercial HMOs.

Authors:  Meredith B Rosenthal; Bruce E Landon; Sharon-Lise T Normand; Richard G Frank; Arnold M Epstein
Journal:  N Engl J Med       Date:  2006-11-02       Impact factor: 91.245

10.  Is case-mix adjustment necessary for an expanded dialysis bundle?

Authors:  Richard A Hirth; Robert A Wolfe; John R Wheeler; Erik C Roys; Philip J Tedeschi; Alyssa S Pozniak; Glenn T Wright
Journal:  Health Care Financ Rev       Date:  2003
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  5 in total

1.  Evaluating hospital readmission rates in dialysis facilities; adjusting for hospital effects.

Authors:  Kevin He; Jack D Kalbfleisch; Yijiang Li; Yi Li
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2.  Research and reform: toward a high-value health system.

Authors:  Michael Chernew
Journal:  Health Serv Res       Date:  2009-10       Impact factor: 3.402

3.  The prevalence of and factors associated with chronic atrial fibrillation in Medicare/Medicaid-eligible dialysis patients.

Authors:  James B Wetmore; Jonathan D Mahnken; Sally K Rigler; Edward F Ellerbeck; Purna Mukhopadhyay; John A Spertus; Qingjiang Hou; Theresa I Shireman
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4.  Provider-hospital "fit" and patient outcomes: evidence from Massachusetts cardiac surgeons, 2002-2004.

Authors:  Marco D Huesch
Journal:  Health Serv Res       Date:  2010-09-17       Impact factor: 3.402

Review 5.  Use of the Medicare database in epidemiologic and health services research: a valuable source of real-world evidence on the older and disabled populations in the US.

Authors:  Katherine E Mues; Alexander Liede; Jiannong Liu; James B Wetmore; Rebecca Zaha; Brian D Bradbury; Allan J Collins; David T Gilbertson
Journal:  Clin Epidemiol       Date:  2017-05-09       Impact factor: 4.790

  5 in total

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