Literature DB >> 9719781

Risk adjustment: where are we now?

J P Newhouse1.   

Abstract

Risk adjustment is intended to minimize selection of patients or enrollees in health plans. Current efforts generally are recognized as inadequate, but improvement is difficult. The greatest short-term gain will come from introducing diagnostic information, though outpatient diagnosis data are unreliable. Initial efforts may use inpatient data, but this creates incentives to hospitalize people. Even exploiting diagnosis information leaves substantial imperfections. Partial capitation, common in behavioral health, reduces incentives to select patients and stent on services, but current policy resists it, perhaps because policymakers misinterpret the lesson of the Prospective Payment System. Theoretically, not paying plans more for providing additional services is optimal only if consumers are well informed.

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Year:  1998        PMID: 9719781

Source DB:  PubMed          Journal:  Inquiry        ISSN: 0046-9580            Impact factor:   1.730


  10 in total

1.  Risk adjustment alternatives in paying for behavioral health care under Medicaid.

Authors:  S L Ettner; R G Frank; T G McGuire; R C Hermann
Journal:  Health Serv Res       Date:  2001-08       Impact factor: 3.402

2.  A structural equation modeling approach to examining the predictive power of determinants of individuals' health expenditures.

Authors:  Jin-Yuan Chern; Thomas T H Wan; James W Begun
Journal:  J Med Syst       Date:  2002-08       Impact factor: 4.460

3.  Evaluating selection out of health plans for Medicaid beneficiaries with substance abuse.

Authors:  Sharon-Lise T Normand; Albert J Belanger; Richard G Frank
Journal:  J Behav Health Serv Res       Date:  2003 Jan-Feb       Impact factor: 1.505

4.  Do adjusted clinical groups eliminate incentives for HMOs to avoid substance abusers? Evidence from the Maryland Medicaid HealthChoice program.

Authors:  Susan L Ettner; Steven Johnson
Journal:  J Behav Health Serv Res       Date:  2003 Jan-Feb       Impact factor: 1.505

5.  Fixing flaws in Medicare drug coverage that prompt insurers to avoid low-income patients.

Authors:  John Hsu; Vicki Fung; Jie Huang; Mary Price; Richard Brand; Rita Hui; Bruce Fireman; William H Dow; John Bertko; Joseph P Newhouse
Journal:  Health Aff (Millwood)       Date:  2010-10-28       Impact factor: 6.301

6.  A matter of classes: stratifying health care populations to produce better estimates of inpatient costs.

Authors:  David B Rein
Journal:  Health Serv Res       Date:  2005-08       Impact factor: 3.402

7.  Distributing $800 billion: an early assessment of Medicare Part D risk adjustment.

Authors:  John Hsu; Jie Huang; Vicki Fung; Mary Price; Richard Brand; Rita Hui; Bruce Fireman; William Dow; John Bertko; Joseph P Newhouse
Journal:  Health Aff (Millwood)       Date:  2009 Jan-Feb       Impact factor: 6.301

8.  Patient protection and risk selection: do primary care physicians encourage their patients to join or avoid capitated health plans according to the patient's health status?

Authors:  Matthew K Wynia; Deborah Zucker; Stacey Supran; Harry P Selker
Journal:  J Gen Intern Med       Date:  2002-01       Impact factor: 5.128

9.  Linked Data Analysis of Dually Eligible Beneficiaries in New England.

Authors:  Paul Saucier; Lee Bezanson; Maureen Booth; Stuart Bratesman; Julie T Fralich; Daniel Gilden; Elaina K Goldstein; Darlene O'Connor; Christopher V Perrone; Katharine K Willrich
Journal:  Health Care Financ Rev       Date:  1998

10.  Health-Based Payment for HIV/AIDS in Medicaid Managed Care Programs.

Authors:  Richard Conviser; Sandy Gamliel; Lynda Honberg
Journal:  Health Care Financ Rev       Date:  1998
  10 in total

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