Perceived Discrimination and Increased Odds of Unmet Medical Needs Among US Children.


Journal

International journal of health services : planning, administration, evaluation
ISSN: 1541-4469
Titre abrégé: Int J Health Serv
Pays: United States
ID NLM: 1305035

Informations de publication

Date de publication:
07 2021
Historique:
pubmed: 13 3 2021
medline: 25 2 2023
entrez: 12 3 2021
Statut: ppublish

Résumé

Our study examines the association between perceived discrimination due to race and unmet medical needs among a nationally representative sample of children in the United States. We used data from the 2016-2017 National Survey of Children's Health, a population-based cross-sectional survey of randomly selected parents or guardians in the United States. We compared results from the coarsened exact matching (CEM) method and survey-weighted logistic regression to assess the robustness of the results. Using self-reported measures from caregivers, we find that ∼2.7% of US children have experienced racial discrimination with prevalence varying significantly by race. While <1% of non-Hispanic whites have experienced some measure of racism, this increases to 8.8% among non-Hispanic blacks. Perceived discrimination was associated with significantly greater odds of unmet medical needs in the adjusted, survey-weighted multivariate-adjusted model (adjusted odds ratio [OR] = 2.4 and 95% confidence interval [CI] = 1.2, 4.9) as well as in the CEM-model estimate (OR = 2.8 and 95% CI = 1.8, 4.0). Children who have experienced perceived discrimination had higher odds of unmet medical needs. Awareness of discrimination among children may help inform future intervention development that addresses unmet medical needs during childhood.

Identifiants

pubmed: 33709808
doi: 10.1177/0020731421997087
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

364-370

Auteurs

Sze Yan Liu (SY)

8087Montclair State University, Montclair, NJ, USA.

Roman Pabayo (R)

3158University of Alberta, School of Public Health, Edmonton, AB, Canada.

Peter Muennig (P)

33638Columbia Mailman School of Public Health, New York, NY, USA.

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Classifications MeSH