Literature DB >> 17405240

The impact of the introduction of premiums into a SCHIP program.

James Marton1.   

Abstract

This paper examines the introduction of premiums into the SCHIP program in Kentucky. Kentucky introduced a $20 monthly premium for SCHIP coverage for children with family incomes between 151 percent and 200 percent of the federal poverty level in December 2003. Administrative data between 2001 and 2004 is used to estimate a Cox proportional hazard model that predicts enrollment duration in this premium-paying category. The results suggest that a premium reduces the length of enrollment, with the impact concentrated in the first three months after the introduction of the premium. Similar results are not found for the non-premium-paying category.

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Year:  2007        PMID: 17405240     DOI: 10.1002/pam.20248

Source DB:  PubMed          Journal:  J Policy Anal Manage        ISSN: 0276-8739


  9 in total

1.  Wisconsin's BadgerCare Plus reform: impact on low-income families' enrollment and retention in public coverage.

Authors:  Lindsey Jeanne Leininger; Donna Friedsam; Laura Dague; Shannon Mok; Emma Hynes; Alison Bergum; Milda Aksamitauskas; Thomas Oliver; Thomas DeLeire
Journal:  Health Serv Res       Date:  2010-12-09       Impact factor: 3.402

2.  Assessing potential enrollment and budgetary effects of SCHIP premiums: findings from Arizona and Kentucky.

Authors:  Genevieve Kenney; James Marton; Joshua McFeeters; Julia Costich
Journal:  Health Serv Res       Date:  2007-12       Impact factor: 3.402

3.  Trends in Child Health Insurance Coverage: A Local Perspective.

Authors:  Jean L Raphael; Richard R Batsell; Marc A Kowalkowski; Aileen Beltran; Angelo P Giardino; Charles G Macias
Journal:  J Appl Res Child       Date:  2013

4.  Estimating premium sensitivity for children's public health insurance coverage: selection but no death spiral.

Authors:  James Marton; Patricia G Ketsche; Angela Snyder; E Kathleen Adams; Mei Zhou
Journal:  Health Serv Res       Date:  2014-08-15       Impact factor: 3.402

5.  Using conjoint analysis to study health policy changes: An example from a cohort of persons who use drugs.

Authors:  Hannah K Knudsen; Jennifer R Havens
Journal:  Int J Drug Policy       Date:  2021-08-26

6.  Discontinuity of coverage for Medicaid and S-CHIP children at a transitional birthday.

Authors:  Patricia Ketsche; E Kathleen Adams; Angela Snyder; Mei Zhou; Karen Minyard; Rebecca Kellenberg
Journal:  Health Serv Res       Date:  2007-12       Impact factor: 3.402

7.  The effect of renewal policy changes on SCHIP disenrollment.

Authors:  Jill Boylston Herndon; W Bruce Vogel; Richard L Bucciarelli; Elizabeth A Shenkman
Journal:  Health Serv Res       Date:  2008-06-03       Impact factor: 3.402

8.  The effect of premium changes on SCHIP enrollment duration.

Authors:  Jill Boylston Herndon; W Bruce Vogel; Richard L Bucciarelli; Elizabeth A Shenkman
Journal:  Health Serv Res       Date:  2008-04       Impact factor: 3.402

9.  Predicting the Impact of Transforming the Medicaid Program on Health Centers' Revenues and Capacity to Serve Medically Underserved Communities.

Authors:  Anne Rossier Markus; Kan Gianattasio; Eric Qian Luo; Julia Strasser
Journal:  Milbank Q       Date:  2019-10-16       Impact factor: 4.911

  9 in total

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