Literature DB >> 8690337

Fee-for-data: a strategy to open the HMO black box.

W P Welch1, H G Welch.   

Abstract

This paper outlines a simple proposal to maintain utilization data in the face of managed care growth. Health maintenance organizations (HMOs) would be required to submit claims (encounter-level data) and in return would be paid a percentage of what Medicare would pay fee-for-service providers. The capitation payment rate would be lowered to maintain budget-neutrality. This proposal would enable the collection of key data that might not otherwise be captured in a Medicare program dominated by HMOs and other forms of managed care. The data are necessary to drive Medicare policies and to gauge the impact of changes to the program. The program would be well advised to make the small additional investment to make the data system complete. The key issue in implementing such a proposal will be HMOs' ability to generate those data at reasonable cost.

Mesh:

Year:  1995        PMID: 8690337     DOI: 10.1377/hlthaff.14.4.104

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


  7 in total

1.  Predictors of Medicare costs in elderly beneficiaries with breast, colorectal, lung, or prostate cancer.

Authors:  L Penberthy; S M Retchin; M K McDonald; D K McClish; C E Desch; G F Riley; T J Smith; B E Hillner; C J Newschaffer
Journal:  Health Care Manag Sci       Date:  1999-07

2.  National probability samples in studies of low-prevalence diseases. Part I: Perspectives and lessons from the HIV cost and services utilization study.

Authors:  M F Shapiro; M L Berk; S H Berry; C A Emmons; L A Athey; D C Hsia; A A Leibowitz; C A Maida; M Marcus; J F Perlman; C L Schur; M A Schuster; J W Senterfitt; S A Bozzette
Journal:  Health Serv Res       Date:  1999-12       Impact factor: 3.402

3.  Commentary: establishing standards for the utility of administrative claims data.

Authors:  S M Retchin; D J Ballard
Journal:  Health Serv Res       Date:  1998-02       Impact factor: 3.402

4.  Monitoring health care in the United States--a challenging task.

Authors:  A M Pollock; D P Rice
Journal:  Public Health Rep       Date:  1997 Mar-Apr       Impact factor: 2.792

5.  Geographic variation in diagnosis frequency and risk of death among Medicare beneficiaries.

Authors:  H Gilbert Welch; Sandra M Sharp; Dan J Gottlieb; Jonathan S Skinner; John E Wennberg
Journal:  JAMA       Date:  2011-03-16       Impact factor: 56.272

6.  Measuring access to effective care among elderly medicare enrollees in managed and Fee-for-Service care: a retrospective cohort study.

Authors:  M B Barton; D A Dayhoff; S B Soumerai; M L Rosenbach; R H Fletcher
Journal:  BMC Health Serv Res       Date:  2001-11-01       Impact factor: 2.655

7.  Profiling resource use by primary-care practices: managed Medicare implications.

Authors:  S T Parente; J P Weiner; D W Garnick; J Fowles; A G Lawthers; R H Palmer
Journal:  Health Care Financ Rev       Date:  1996
  7 in total

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