Literature DB >> 23398477

Income eligibility thresholds, premium contributions, and children's coverage outcomes: a study of CHIP expansions.

Carole Roan Gresenz1, Sarah E Edgington, Miriam J Laugesen, José J Escarce.   

Abstract

OBJECTIVE: To understand the effects of Children's Health Insurance Program (CHIP) income eligibility thresholds and premium contribution requirements on health insurance coverage outcomes among children. DATA SOURCES: 2002-2009 Annual Social and Economic Supplements of the Current Population Survey linked to data from multiple secondary data sources. STUDY
DESIGN: We use a selection correction model to simultaneously estimate program eligibility and coverage outcomes conditional upon eligibility. We simulate the effects of three premium schedules representing a range of generosity levels and the effects of income eligibility thresholds ranging from 200 to 400 percent of the federal poverty line. PRINCIPAL
FINDINGS: Premium contribution requirements decrease enrollment in public coverage and increase enrollment in private coverage, with larger effects for greater contribution levels. Our simulation results suggest minimal changes in coverage outcomes from eligibility expansions to higher income families under premium schedules that require more than a modest contribution (medium or high schedules).
CONCLUSIONS: Our simulation results are useful counterpoints to previous research that has estimated the average effect of program expansions as they were implemented without disentangling the effects of premiums or other program features. The sensitivity to premiums observed suggests that although contribution requirements may be effective in reducing crowd-out, they also have the potential, depending on the level of contribution required, to nullify the effects of CHIP expansions entirely. The persistence of uninsurance among children under the range of simulated scenarios points to the importance of Affordable Care Act provisions designed to make the process of obtaining coverage transparent and navigable. © Health Research and Educational Trust.

Entities:  

Mesh:

Year:  2013        PMID: 23398477      PMCID: PMC3626333          DOI: 10.1111/1475-6773.12039

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  13 in total

1.  Interpreting the estimates from four national surveys of the number of people without health insurance.

Authors:  K Swartz
Journal:  J Econ Soc Meas       Date:  1986-10

2.  Crowd-out 10 years later: have recent public insurance expansions crowded out private health insurance?

Authors:  Jonathan Gruber; Kosali Simon
Journal:  J Health Econ       Date:  2007-11-29       Impact factor: 3.883

3.  The impact of SCHIP on insurance coverage of children.

Authors:  Julie L Hudson; Thomas M Selden; Jessica S Banthin
Journal:  Inquiry       Date:  2005       Impact factor: 1.730

4.  Substitution of SCHIP for private coverage: results from a 2002 evaluation in ten states.

Authors:  Anna Sommers; Stephen Zuckerman; Lisa Dubay; Genevieve Kenney
Journal:  Health Aff (Millwood)       Date:  2007 Mar-Apr       Impact factor: 6.301

5.  Relative Affordability of Health Insurance Premiums under CHIP Expansion Programs and the ACA.

Authors:  Carole Roan Gresenz; Miriam J Laugesen; Ambeshie Yesus; José J Escarce
Journal:  J Health Polit Policy Law       Date:  2011-07-22       Impact factor: 2.265

6.  Take-up of public insurance and crowd-out of private insurance under recent CHIP expansions to higher income children.

Authors:  Carole Roan Gresenz; Sarah E Edgington; Miriam Laugesen; José J Escarce
Journal:  Health Serv Res       Date:  2012-04-19       Impact factor: 3.402

7.  The effects of state policy design features on take-up and crowd-out rates for the State Children's Health Insurance Program.

Authors:  Cynthia Bansak; Steven Raphael
Journal:  J Policy Anal Manage       Date:  2007

8.  The effect of the State Children's Health Insurance Program on health insurance coverage.

Authors:  Anthony T Lo Sasso; Thomas C Buchmueller
Journal:  J Health Econ       Date:  2004-09       Impact factor: 3.883

9.  The impact of CHIP on children's insurance coverage: an analysis using the National Survey of America's Families.

Authors:  Lisa Dubay; Genevieve Kenney
Journal:  Health Serv Res       Date:  2009-09-24       Impact factor: 3.402

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  2 in total

1.  The Impact of the Eligibility Threshold of a French Means-Tested Health Insurance Programme on Doctor Visits: A Regression Discontinuity Analysis.

Authors:  Sophie Guthmuller; Jérôme Wittwer
Journal:  Health Econ       Date:  2017-03-20       Impact factor: 3.046

2.  Disparities in Pediatric Oncology: The 21st Century Opportunity to Improve Outcomes for Children and Adolescents With Cancer.

Authors:  Paula Aristizabal; Lena E Winestone; Puja Umaretiya; Kira Bona
Journal:  Am Soc Clin Oncol Educ Book       Date:  2021-06
  2 in total

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