Literature DB >> 1592607

Fairness in prospective payment: a clustering approach.

T Stefos1, N LaVallee, F Holden.   

Abstract

Problems of fairness in prospective payment have existed since the inception of this regulatory method in the early 1980s. While prospective payment ostensibly has sought to reward efficient producers and provide disincentives for inefficient producers of health care, many hospitals have been penalized financially as a consequence of facing systematic factors beyond their control. This article defines homogenous peer groups of Department of Veterans Affairs providers for the purpose of establishing competitive prospective reimbursement rates. An econometric analysis classifies hospitals into six categories: small affiliated, small general, midsize affiliated/tertiary, large affiliated/tertiary, midsize general, and psychiatric. The Department of Veterans Affairs adopted this classification to alter its prospective payment system in 1988.

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Year:  1992        PMID: 1592607      PMCID: PMC1069875     

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


  16 in total

1.  Using hospital-specific costs to improve the fairness of prospective reimbursement.

Authors:  G C Pope
Journal:  J Health Econ       Date:  1990-11       Impact factor: 3.883

2.  Exploring hospital production relationships with flexible functional forms.

Authors:  M G Vita
Journal:  J Health Econ       Date:  1990-06       Impact factor: 3.883

3.  The effects of hospital competition and the Medicare PPS program on hospital cost behavior in California.

Authors:  J Zwanziger; G A Melnick
Journal:  J Health Econ       Date:  1988-12       Impact factor: 3.883

4.  Estimating hospital costs. A multiple-output analysis.

Authors:  T W Grannemann; R S Brown; M V Pauly
Journal:  J Health Econ       Date:  1986-06       Impact factor: 3.883

5.  Insurance principles and the design of prospective payment systems.

Authors:  R P Ellis; T G McGuire
Journal:  J Health Econ       Date:  1988-09       Impact factor: 3.883

6.  The contribution of case-mix severity to the hospital cost-output relation.

Authors:  M C Hornbrook; A C Monheit
Journal:  Inquiry       Date:  1985       Impact factor: 1.730

7.  Medicare's fiscal problems: an imperative for reform.

Authors:  J Holahan; J L Palmer
Journal:  J Health Polit Policy Law       Date:  1988       Impact factor: 2.265

8.  Provider behavior under prospective reimbursement. Cost sharing and supply.

Authors:  R P Ellis; T G McGuire
Journal:  J Health Econ       Date:  1986-06       Impact factor: 3.883

9.  The first 3 years of Medicare prospective payment: an overview.

Authors:  S Guterman; P W Eggers; G Riley; T F Greene; S A Terrell
Journal:  Health Care Financ Rev       Date:  1988

10.  Evaluating and improving the measurement of hospital case mix.

Authors:  S F Jencks; A Dobson; P Willis; P H Feinstein
Journal:  Health Care Financ Rev       Date:  1984
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  15 in total

1.  Benchmarking mechanical ventilation services in teaching hospitals.

Authors:  Pamela V O'Neal; Yasar A Ozcan; Yanqiang Ma
Journal:  J Med Syst       Date:  2002-06       Impact factor: 4.460

2.  Variations in nurse practitioner use in Veterans Affairs primary care practices.

Authors:  Patty Y Huang; Elizabeth M Yano; Martin L Lee; Betty L Chang; Lisa V Rubenstein
Journal:  Health Serv Res       Date:  2004-08       Impact factor: 3.402

3.  Development of peer-group-classification criteria for the comparison of cost efficiency among general hospitals under the Korean NHI program.

Authors:  Hee-Chung Kang; Jae-Seok Hong; Heon-Jin Park
Journal:  Health Serv Res       Date:  2012-02-22       Impact factor: 3.402

4.  Pre-post evaluation of automated reminders may improve detection and management of post-stroke depression.

Authors:  Linda S Williams; Susan Ofner; Zhangsheng Yu; Rebecca J Beyth; Laurie Plue; Teresa Damush
Journal:  J Gen Intern Med       Date:  2011-08       Impact factor: 5.128

5.  Method to develop health care peer groups for quality and financial comparisons across hospitals.

Authors:  Margaret M Byrne; Christina N Daw; Harlan A Nelson; Tracy H Urech; Kenneth Pietz; Laura A Petersen
Journal:  Health Serv Res       Date:  2008-11-04       Impact factor: 3.402

6.  Contribution of locally and externally designed quality management activities to hospitals' efforts to improve patient care.

Authors:  R L Goldman; G L Barbour; E Ciesco
Journal:  West J Med       Date:  1997-02

7.  Levels and variation in overuse of fecal occult blood testing in the Veterans Health Administration.

Authors:  Melissa R Partin; Adam A Powell; Ann Bangerter; Krysten Halek; James F Burgess; Deborah A Fisher; David B Nelson
Journal:  J Gen Intern Med       Date:  2012-07-19       Impact factor: 5.128

8.  Determining VA physician requirements through empirically based models.

Authors:  J Lipscomb; K E Kilpatrick; K L Lee; K S Pieper
Journal:  Health Serv Res       Date:  1995-02       Impact factor: 3.402

9.  Trends in Department of Defense hospital efficiency.

Authors:  Y A Ozcan; R R Bannick
Journal:  J Med Syst       Date:  1994-04       Impact factor: 4.460

10.  Evaluating relative efficiencies of Veterans Affairs Medical Centers using data envelopment, ratio, and multiple regression analysis.

Authors:  S Hao; C C Pegels
Journal:  J Med Syst       Date:  1994-04       Impact factor: 4.460

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