Literature DB >> 24603443

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

Thomas G McGuire1, Joseph P Newhouse2, Sharon-Lise Normand3, Julie Shi4, Samuel Zuvekas5.   

Abstract

Even with open enrollment and mandated purchase, incentives created by adverse selection may undermine the efficiency of service offerings by plans in the new health insurance Exchanges created by the Affordable Care Act. Using data on persons likely to participate in Exchanges drawn from five waves of the Medical Expenditure Panel Survey, we measure plan incentives in two ways. First, we construct predictive ratios, improving on current methods by taking into account the role of premiums in financing plans. Second, relying on an explicit model of plan profit maximization, we measure incentives based on the predictability and predictiveness of various medical diagnoses. Among the chronic diseases studied, plans have the greatest incentive to skimp on care for cancer, and mental health and substance abuse.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adverse selection; Exchanges; Health insurance

Mesh:

Year:  2014        PMID: 24603443      PMCID: PMC4040329          DOI: 10.1016/j.jhealeco.2014.01.009

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  23 in total

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Authors:  E K Wicks; M A Hall
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2.  Service-level selection by HMOs in Medicare.

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Journal:  J Health Econ       Date:  2003-11       Impact factor: 3.883

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

4.  Sensitivity of household reported medical conditions in the medical expenditure panel survey.

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5.  Patient Protection and Affordable Care Act; program integrity: exchange, premium stabilization programs, and market standards; amendments to the HHS notice of benefit and payment parameters for 2014. Final rule.

Authors: 
Journal:  Fed Regist       Date:  2013-10-30

6.  Adjusting for Health Status in Non-Linear Models of Health Care Disparities.

Authors:  Benjamin L Cook; Thomas G McGuire; Ellen Meara; Alan M Zaslavsky
Journal:  Health Serv Outcomes Res Methodol       Date:  2009-03-01

7.  Mental health and substance abuse insurance parity for federal employees: how did health plans respond?

Authors:  Colleen L Barry; M Susan Ridgely
Journal:  J Policy Anal Manage       Date:  2008

8.  Validity of reported Medicare Part D enrollment in the Medical Expenditure Panel Survey.

Authors:  Steven C Hill; Samuel H Zuvekas; Marc W Zodet
Journal:  Med Care Res Rev       Date:  2012-08-28       Impact factor: 3.929

9.  The effect of insurance benefit changes on use of child and adolescent outpatient mental health services.

Authors:  D K Padgett; C Patrick; B J Burns; H J Schlesinger; J Cohen
Journal:  Med Care       Date:  1993-02       Impact factor: 2.983

10.  Adjusting capitation rates using objective health measures and prior utilization.

Authors:  J P Newhouse; W G Manning; E B Keeler; E M Sloss
Journal:  Health Care Financ Rev       Date:  1989
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  25 in total

1.  Modest risk-sharing significantly reduces health plans' incentives for service distortion.

Authors:  Shuli Brammli-Greenberg; Jacob Glazer; Ruth Waitzberg
Journal:  Eur J Health Econ       Date:  2019-08-22

2.  Sample Selection for Medicare Risk Adjustment Due to Systematically Missing Data.

Authors:  Savannah L Bergquist; Thomas G McGuire; Timothy J Layton; Sherri Rose
Journal:  Health Serv Res       Date:  2018-09-11       Impact factor: 3.402

3.  Deriving risk adjustment payment weights to maximize efficiency of health insurance markets.

Authors:  Timothy J Layton; Thomas G McGuire; Richard C van Kleef
Journal:  J Health Econ       Date:  2018-07-23       Impact factor: 3.883

4.  Tradeoffs in the design of health plan payment systems: Fit, power and balance.

Authors:  Michael Geruso; Thomas G McGuire
Journal:  J Health Econ       Date:  2016-02-10       Impact factor: 3.883

5.  A Machine Learning Framework for Plan Payment Risk Adjustment.

Authors:  Sherri Rose
Journal:  Health Serv Res       Date:  2016-02-19       Impact factor: 3.402

6.  Psychological Distress and Enrollment in Medicaid.

Authors:  Gilbert Gonzales; Ezra Golberstein; Steven C Hill; Samuel H Zuvekas
Journal:  J Behav Health Serv Res       Date:  2017-10       Impact factor: 1.505

7.  Mental Health Risk Adjustment with Clinical Categories and Machine Learning.

Authors:  Akritee Shrestha; Savannah Bergquist; Ellen Montz; Sherri Rose
Journal:  Health Serv Res       Date:  2017-12-15       Impact factor: 3.402

8.  Examining unpriced risk heterogeneity in the Dutch health insurance market.

Authors:  A A Withagen-Koster; R C van Kleef; F Eijkenaar
Journal:  Eur J Health Econ       Date:  2018-04-18

9.  Computational health economics for identification of unprofitable health care enrollees.

Authors:  Sherri Rose; Savannah L Bergquist; Timothy J Layton
Journal:  Biostatistics       Date:  2017-10-01       Impact factor: 5.899

10.  HOW MUCH FAVORABLE SELECTION IS LEFT IN MEDICARE ADVANTAGE?

Authors:  Joseph P Newhouse; Mary Price; J Michael McWilliams; John Hsu; Thomas G McGuire
Journal:  Am J Health Econ       Date:  2015
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