Literature DB >> 22323160

Adjusting for risk selection in state health insurance exchanges will be critically important and feasible, but not easy.

Jonathan P Weiner1, Erin Trish, Chad Abrams, Klaus Lemke.   

Abstract

The Affordable Care Act calls for the establishment of state-level health insurance exchanges. The viability and success of these exchanges will require effective risk-adjustment strategies to compensate for differences in enrollees' health status across health plans. This article describes why the Affordable Care Act could lead to favorable or adverse risk selection across plans. It reviews provisions in the act and recent proposed regulations intended to mitigate the problem of risk selection. We performed a simulation that showed that under the premium rating restrictions in the law, large incentives for insurers to attract healthier enrollees will be likely to persist-resulting in substantial overpayment to plans with very healthy enrollees and underpayment to plans with very sick members. We conclude that risk adjustment based on patients' diagnoses, such as will be in place from 2014 on, will yield payments to insurers that will be more accurate than what will come solely from the age-adjusted and other rating allowed by the act. We also describe additional challenges of implementing risk adjustment.

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Year:  2012        PMID: 22323160     DOI: 10.1377/hlthaff.2011.0420

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


  8 in total

1.  Assessing incentives for service-level selection in private health insurance exchanges.

Authors:  Thomas G McGuire; Joseph P Newhouse; Sharon-Lise Normand; Julie Shi; Samuel Zuvekas
Journal:  J Health Econ       Date:  2014-02-17       Impact factor: 3.883

2.  Hospitalizations and emergency department use in Mayo Clinic Biobank participants within the employee and community health medical home.

Authors:  Paul Y Takahashi; Euijung Ryu; Janet E Olson; Kari S Anderson; Matthew A Hathcock; Lindsey R Haas; James M Naessens; Jyotishman Pathak; Suzette J Bielinski; James R Cerhan
Journal:  Mayo Clin Proc       Date:  2013-09       Impact factor: 7.616

3.  Risk-Adjustment Simulation: Plans May Have Incentives To Distort Mental Health And Substance Use Coverage.

Authors:  Ellen Montz; Tim Layton; Alisa B Busch; Randall P Ellis; Sherri Rose; Thomas G McGuire
Journal:  Health Aff (Millwood)       Date:  2016-06-01       Impact factor: 6.301

4.  Risk adjustment in health insurance exchanges for individuals with mental illness.

Authors:  Colleen L Barry; Jonathan P Weiner; Klaus Lemke; Susan H Busch
Journal:  Am J Psychiatry       Date:  2012-07       Impact factor: 18.112

5.  Predictive risk modelling in the Spanish population: a cross-sectional study.

Authors:  Juan F Orueta; Roberto Nuño-Solinis; Maider Mateos; Itziar Vergara; Gonzalo Grandes; Santiago Esnaola
Journal:  BMC Health Serv Res       Date:  2013-07-09       Impact factor: 2.655

6.  Risk adjustment and observation time: comparison between cross-sectional and 2-year panel data from the Medical Expenditure Panel Survey (MEPS).

Authors:  Yi-Sheng Chao; Chao-Jung Wu; Tai-Shen Chen
Journal:  Health Inf Sci Syst       Date:  2014-07-25

7.  Proposals for enhanced health risk assessment and stratification in an integrated care scenario.

Authors:  Ivan Dueñas-Espín; Emili Vela; Steffen Pauws; Cristina Bescos; Isaac Cano; Montserrat Cleries; Joan Carles Contel; Esteban de Manuel Keenoy; Judith Garcia-Aymerich; David Gomez-Cabrero; Rachelle Kaye; Maarten M H Lahr; Magí Lluch-Ariet; Montserrat Moharra; David Monterde; Joana Mora; Marco Nalin; Andrea Pavlickova; Jordi Piera; Sara Ponce; Sebastià Santaeugenia; Helen Schonenberg; Stefan Störk; Jesper Tegner; Filip Velickovski; Christoph Westerteicher; Josep Roca
Journal:  BMJ Open       Date:  2016-04-15       Impact factor: 2.692

8.  A population health approach to reducing observational intensity bias in health risk adjustment: cross sectional analysis of insurance claims.

Authors:  David E Wennberg; Sandra M Sharp; Gwyn Bevan; Jonathan S Skinner; Daniel J Gottlieb; John E Wennberg
Journal:  BMJ       Date:  2014-04-10
  8 in total

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