Literature DB >> 15359978

Demographics of disenrollment from SCHIP: evidence from NJ KidCare.

Jane E Miller1, Dorothy Gaboda, Joel C Cantor, Tami M Videon, Yamalis Diaz.   

Abstract

The State Children's Health Insurance Program (SCHIP) provides health insurance coverage for children in low-income families. Although there is evidence of substantial disenrollment from SCHIP, few studies have examined how disenrollment varies by demographic characteristics. This study uses data from administrative records of all 41,881 children enrolled prior to April 2000 in NJ KidCare (New Jersey's SCHIP) separate state plans for families with incomes between 133% and 350% of the Federal Poverty Level. Survival methods were used to analyze disenrollment according to demographic and plan characteristics. Reasons for disenrollment were also studied. Overall, 18.9% of children disenrolled within 12 months of enrollment. Disenrollment was higher among non-Hispanic black children, children aged 1 to 5, and children without siblings in NJ KidCare than among their counterparts. Surprisingly, English speakers had the highest disenrollment rate of all language groups. Children in families with moderate income categories for whom premium contributions were required were 3 times as likely as lower-income children to disenroll, principally due to non-payment of premiums. To maximize retention in SCHIP and ensure access to care and continuity of care for low-income children, research is needed concerning why some groups disenroll more quickly.

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Mesh:

Year:  2004        PMID: 15359978     DOI: 10.1353/hpu.2004.0007

Source DB:  PubMed          Journal:  J Health Care Poor Underserved        ISSN: 1049-2089


  4 in total

1.  Context or composition: what explains variation in SCHIP disenrollment?

Authors:  Julie A Phillips; Jane E Miller; Joel C Cantor; Dorothy Gaboda
Journal:  Health Serv Res       Date:  2004-08       Impact factor: 3.402

2.  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

3.  Assessing barriers to health insurance and threats to equity in comparative perspective: the Health Insurance Access Database.

Authors:  Amélie Quesnel-Vallée; Emilie Renahy; Tania Jenkins; Helen Cerigo
Journal:  BMC Health Serv Res       Date:  2012-07-10       Impact factor: 2.655

4.  Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial.

Authors:  Jennifer E DeVoe; Nathalie Huguet; Sonja Likumahuwa-Ackman; Heather Angier; Christine Nelson; Miguel Marino; Deborah Cohen; Aleksandra Sumic; Megan Hoopes; Rose L Harding; Marla Dearing; Rachel Gold
Journal:  Implement Sci       Date:  2015-08-25       Impact factor: 7.327

  4 in total

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