Literature DB >> 19124873

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

John Hsu1, Jie Huang, Vicki Fung, Mary Price, Richard Brand, Rita Hui, Bruce Fireman, William Dow, John Bertko, Joseph P Newhouse.   

Abstract

The viability and stability of the Medicare Part D prescription drug program depend on accurate risk-adjusted payments. The current approach, prescription drug hierarchical condition categories (RxHCCs), uses diagnosis and demographic information to predict future drug costs. We evaluated the performance of multiple approaches for predicting 2006 Part D drug costs and plan liability. RxHCCs explain 12 percent of the variation in actual drug costs, overpredict costs for beneficiaries with low actual costs, and underpredict costs for beneficiaries with high actual costs. Combining RxHCCs with individual-level information on prior-year drug use greatly improves performance and decreases incentives for plans to select against bad risks.

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Mesh:

Year:  2009        PMID: 19124873      PMCID: PMC2743923          DOI: 10.1377/hlthaff.28.1.215

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


  10 in total

Review 1.  The Medicare prescription drug benefit: how will the game be played?

Authors:  H A Huskamp; M B Rosenthal; R G Frank; J P Newhouse
Journal:  Health Aff (Millwood)       Date:  2000 Mar-Apr       Impact factor: 6.301

2.  How profitable is risk selection? A comparison of four risk adjustment models.

Authors:  Yujing Shen; Randall P Ellis
Journal:  Health Econ       Date:  2002-03       Impact factor: 3.046

3.  Assessing risk-adjustment approaches under non-random selection.

Authors:  Harold S Luft; R Adams Dudley
Journal:  Inquiry       Date:  2004       Impact factor: 1.730

4.  Adverse selection and the challenges to stand-alone prescription drug insurance.

Authors:  Mark V Pauly; Yuhui Zeng
Journal:  Front Health Policy Res       Date:  2004

5.  Predictability and predictiveness in health care spending.

Authors:  Randall P Ellis; Thomas G McGuire
Journal:  J Health Econ       Date:  2006-08-14       Impact factor: 3.883

6.  Paying more fairly for Medicare capitated care.

Authors:  L I Iezzoni; J Z Ayanian; D W Bates; H R Burstin
Journal:  N Engl J Med       Date:  1998-12-24       Impact factor: 91.245

7.  Risk adjustment and Medicare: taking a closer look.

Authors:  J P Newhouse; M B Buntin; J D Chapman
Journal:  Health Aff (Millwood)       Date:  1997 Sep-Oct       Impact factor: 6.301

8.  Risk adjustment: where are we now?

Authors:  J P Newhouse
Journal:  Inquiry       Date:  1998       Impact factor: 1.730

9.  Diagnosis-based risk adjustment for medicare prescription drug plan payments.

Authors:  John Robst; Jesse M Levy; Melvin J Ingber
Journal:  Health Care Financ Rev       Date:  2007

10.  Risk adjustment of Medicare capitation payments using the CMS-HCC model.

Authors:  Gregory C Pope; John Kautter; Randall P Ellis; Arlene S Ash; John Z Ayanian; Lisa I Lezzoni; Melvin J Ingber; Jesse M Levy; John Robst
Journal:  Health Care Financ Rev       Date:  2004
  10 in total
  5 in total

1.  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

2.  Adverse Selection into and within the Individual Health Insurance Market in California in 2014.

Authors:  Vicki Fung; Cassandra G K Peitzman; Julie Shi; Catherine Y Liang; William H Dow; Alan M Zaslavsky; Bruce H Fireman; Stephen F Derose; Michael E Chernew; Joseph P Newhouse; John Hsu
Journal:  Health Serv Res       Date:  2018-05-17       Impact factor: 3.402

3.  Cost of dementia in Medicare managed care: a systematic literature review.

Authors:  Paul Fishman; Norma B Coe; Lindsay White; Paul K Crane; Sungchul Park; Bailey Ingraham; Eric B Larson
Journal:  Am J Manag Care       Date:  2019-08-01       Impact factor: 2.229

4.  Comparison of Rx-defined morbidity groups and diagnosis- based risk adjusters for predicting healthcare costs in Taiwan.

Authors:  Raymond Nc Kuo; Mei-Shu Lai
Journal:  BMC Health Serv Res       Date:  2010-05-17       Impact factor: 2.655

5.  Dual eligibles with mental disorders and Medicare part D: how are they faring?

Authors:  Julie M Donohue; Haiden A Huskamp; Samuel H Zuvekas
Journal:  Health Aff (Millwood)       Date:  2009 May-Jun       Impact factor: 6.301

  5 in total

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