Literature DB >> 24062367

A longitudinal view of child enrollment in Medicaid.

Alan E Simon1, Anne Driscoll, Yelena Gorina, Jennifer D Parker, Kenneth C Schoendorf.   

Abstract

BACKGROUND: Although national cross-sectional estimates of the percentage of children enrolled in Medicaid are available, the percentage of children enrolled in Medicaid over longer periods of time is unknown. Also, the percentage and characteristics of children who rely on Medicaid throughout childhood, rather than transiently, are unknown.
METHODS: We performed a longitudinal examination of Medicaid coverage among children across a 5-year period. Children 0 to 13 years of age in the 2004 National Health Interview Survey file were linked to Medicaid Analytic eXtract files from 2004 to 2008. The percentage of children enrolled in Medicaid at any time during the 5-year observation period and the number of years during which children were enrolled in Medicaid were calculated. Duration of Medicaid enrollment was compared across sociodemographic characteristics by using χ(2) tests.
RESULTS: Forty-one percent of all US children were enrolled in Medicaid at least some time during the 5-year period, compared with a single-year estimate of 32.8% in 2004 alone. Of enrolled children, 51.5% were enrolled during all 5 years. Children with lower parental education, with lower household income, of minority race or ethnicity, and in suboptimal health were more likely to be enrolled in Medicaid during all 5 years.
CONCLUSIONS: Longitudinal data reveal higher percentages of children with Medicaid insurance than shown by cross-sectional data. Half of children enrolled in Medicaid are enrolled during at least 5 consecutive years, and these children have higher risk sociodemographic profiles.

Entities:  

Keywords:  Medicaid enrollment; children; insurance

Mesh:

Year:  2013        PMID: 24062367     DOI: 10.1542/peds.2013-1544

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  3 in total

1.  Multiple imputation to account for linkage ineligibility in the NHANES-CMS Medicaid linked data: General use versus subject specific imputation models.

Authors:  Jennifer Rammon; Yulei He; Jennifer D Parker
Journal:  Stat J IAOS       Date:  2019-08-26

2.  Accounting for study participants who are ineligible for linkage: a multiple imputation approach to analyzing the linked National Health and Nutrition Examination Survey and Centers for Medicare and Medicaid Services' Medicaid data.

Authors:  Jennifer Rammon; Yulei He; Jennifer D Parker
Journal:  Health Serv Outcomes Res Methodol       Date:  2018-08-16

3.  Concordance between survey reported childhood asthma and linked Medicaid administrative records.

Authors:  Benjamin Zablotsky; Lindsey I Black
Journal:  J Asthma       Date:  2018-05-17       Impact factor: 2.515

  3 in total

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