Literature DB >> 3934471

Regression toward the mean in medical care costs. Implications for biased selection in health maintenance organizations.

W P Welch.   

Abstract

As more Americans choose among insurance plans, the possibility of biased selection increases in importance. Although regression toward the mean is recognized as a common problem in evaluating social programs, it has generally been ignored in studies of biased selection. Suppose that people are included in a group simply because they had expenditures in one year $100 below the mean; that is, health status or other risk factors are not part of the selection criteria. Empirically, the expected difference in the following year is about $20 and appears to fall in each subsequent year. This pattern holds for the elderly and nonelderly. Evidence of lower pre-enrollment expenditure of prepaid group practice (PGP) enrollees can be interpreted in several ways. Under one interpretation, PGP enrollees are assumed to be a random sample conditional on pre-enrollment expenditure, such that biased selection is one fifth of estimates based on 1 year of data and one half of estimates based on 4 years of data. This article cannot resolve the issue of alternative interpretations; it only raises it.

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Year:  1985        PMID: 3934471     DOI: 10.1097/00005650-198511000-00002

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


  11 in total

1.  Understanding biased selection in Medicare HMOs.

Authors:  Michelle M Mello; Sally C Stearns; Edward C Norton; Thomas C Ricketts
Journal:  Health Serv Res       Date:  2003-06       Impact factor: 3.402

2.  Multiple prior years of health expenditures and Medicare health plan choice.

Authors:  Matthew L Maciejewski; Bryan Dowd; Heidi O'Connor
Journal:  Int J Health Care Finance Econ       Date:  2004-09

3.  Evaluation of the effect of a consumer-driven health plan on medical care expenditures and utilization.

Authors:  Stephen T Parente; Roger Feldman; Jon B Christianson
Journal:  Health Serv Res       Date:  2004-08       Impact factor: 3.402

4.  Do HMOs reduce health care costs? A multivariate analysis of two Medicare HMO demonstration projects.

Authors:  J S McCombs; J D Kasper; G F Riley
Journal:  Health Serv Res       Date:  1990-10       Impact factor: 3.402

5.  HMOs and Twin Cities admission rates.

Authors:  B E Dowd
Journal:  Health Serv Res       Date:  1986-06       Impact factor: 3.402

6.  Mental health care utilization in prepaid and fee-for-service plans among depressed patients in the Medical Outcomes Study.

Authors:  R Sturm; C A Jackson; L S Meredith; W Yip; W G Manning; W H Rogers; K B Wells
Journal:  Health Serv Res       Date:  1995-06       Impact factor: 3.402

7.  Case study of American Healthways' diabetes disease management program.

Authors:  James E Pope; Laurel R Hudson; Patty M Orr
Journal:  Health Care Financ Rev       Date:  2005

8.  Selection bias in health maintenance organizations: analysis of recent evidence.

Authors:  F J Hellinger
Journal:  Health Care Financ Rev       Date:  1987

9.  Longitudinal patterns of enrollment and expenditures for a Medicaid cohort.

Authors:  E M Howell; R M Andrews; M Gornick
Journal:  Health Care Financ Rev       Date:  1988

Review 10.  The need for special interventions for multiple hospital admission patients.

Authors:  G M Eggert; B Friedman
Journal:  Health Care Financ Rev       Date:  1988-12
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