2018
DOI: 10.4081/jphr.2018.1280
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Racial/Ethnic Differences in Health Insurance Adequacy and Consistency among Children: Evidence from the 2011/12 National Survey of Children's Health

Abstract: BackgroundSurveillance of disparities in healthcare insurance, services and quality of care among children are critical for properly serving the medical/healthcare needs of underserved populations. The purpose of this study was to assess racial/ethnic differences in children’s (0 to 17 years old) health insurance adequacy and consistency (child has insurance coverage for the last 12 months).Design and methodsWe used data from the 2011/2012 National Survey of Children’s Health (n=79,474). Descriptive statistics… Show more

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Cited by 12 publications
(19 citation statements)
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References 19 publications
(27 reference statements)
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“…In several states currently, Medicaid and CHIP eligibility income thresholds are higher for children ages 0‐5 than for those between ages 6 and 18, meaning that school‐aged children and adolescents are less likely to qualify for public coverage. Generally speaking, adolescents tend to have higher uninsured rates and less adequate insurance than younger children, and there is evidence that uninsured rates continue to climb from early adolescence until the mid‐20s . Additionally, adolescents face new developmental shifts and health care needs which may impact their engagement with the health care system at different levels .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In several states currently, Medicaid and CHIP eligibility income thresholds are higher for children ages 0‐5 than for those between ages 6 and 18, meaning that school‐aged children and adolescents are less likely to qualify for public coverage. Generally speaking, adolescents tend to have higher uninsured rates and less adequate insurance than younger children, and there is evidence that uninsured rates continue to climb from early adolescence until the mid‐20s . Additionally, adolescents face new developmental shifts and health care needs which may impact their engagement with the health care system at different levels .…”
Section: Introductionmentioning
confidence: 99%
“…Evidence suggests that while the uninsured rate declined steadily across this time period, much of the narrowing occurred after the passage of the ACA. Pre‐ACA, the uninsured rate among Latino youth dropped significantly between 2002 and 2009, but disparities with non‐Latino white youth remained notable and insurance coverage was more unstable for Latino and black youth compared to white youth . Between 2011 and 2015, Latinos aged 0‐17 experienced the biggest outright reduction in the uninsured rate compared to black and white youth.…”
Section: Introductionmentioning
confidence: 99%
“…We found that while NH-white patients had a higher fill rate compared to NHblackpatients and having in-state public insurance was associated with a lower fill rate than having private insurance, there was likely a concordance between being NH-blackand having public in-state insurance.This is consistent with the knowledge that minority children are significantly more likely to have public insurance compared to white children. 15 Interestingly, patients with out-of-state Medicaid did not have the same risk of low fill rates as those patients with in-state Medicaid. This study was conducted in Washington, DC which is unique in that in-state Medicaid is restricted to District of Columbia residents and therefor encompasses an entirely urban population; whereas out-of-state Medicaid is likely to be held by patients living in the Maryland and Virginia suburbs.…”
Section: Discussionmentioning
confidence: 94%
“…This is important to note because we know that poverty rates are higher for black and Hispanic children compared to white children, 34% and 28%, respectively, compared to 11% (U.S. Department of Commerce, Census Bureau, American Community Survey, 2017, as cited in National Center for Education Statistics, 2019). Further, racial/ethnic disparities in insurance consistency also persist (Soylu, Elashkar, Aloudah, Ahmed, & Kitsantas, 2018).…”
Section: Predisposingmentioning
confidence: 99%