Literature DB >> 2495391

Case-mix adjusted analyses of service utilization for a Medicaid health insuring organization in Philadelphia.

J C Vertrees1, K G Manton, K C Mitchell.   

Abstract

Health Insuring Organizations (HIOs) are capitated plans that serve all of the Medicaid beneficiaries in a defined catchment area. While this approach to capitation eliminates the incentive to enroll only the healthiest beneficiaries in the area, it does not alleviate concerns that the HIO will respond to the incentives for efficiency created by capitation payment by underproviding services. The authors studied change in service utilization patterns produced by the HIO by using a multivariate strategy to identify case-mix groups at the population level to adjust analyses of hospital and nursing home utilization for case mix. This approach was applied to service utilization data for Medicaid beneficiaries in Philadelphia who received medical services from an HIO and for two control groups. In addition to identifying changes in service use, they evaluated the performance of the HIOs on three dimensions--access to care, quality of care, and the efficiency with which the care was provided. While limitations on the information available in the billing files did not allow definitive statements to be made regarding these issues, case-mix adjusted patterns of service use (and mortality) across sets of service may enable Medicaid programs to identify areas where problems in one of these three critical areas exist. This would allow the program to target its limited utilization and quality review resources toward the areas, types of people, and/or providers where problems in one or more of these areas are more likely.

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Year:  1989        PMID: 2495391     DOI: 10.1097/00005650-198904000-00007

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  3 in total

1.  Economic efficiency of gate-keeping compared with fee for service plans: a Swiss example.

Authors:  Matthias Schwenkglenks; Georges Preiswerk; Roman Lehner; Fritz Weber; Thomas D Szucs
Journal:  J Epidemiol Community Health       Date:  2006-01       Impact factor: 3.710

2.  Use of Medicare services before and after introduction of the prospective payment system.

Authors:  K G Manton; M A Woodbury; J C Vertrees; E Stallard
Journal:  Health Serv Res       Date:  1993-08       Impact factor: 3.402

3.  Analysis of underwriting factors for AAPCC (adjusted average per capita cost).

Authors:  K G Manton; E Stallard
Journal:  Health Care Financ Rev       Date:  1992
  3 in total

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