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Structural Racism and Severe Maternal Morbidity in New York State

OBJECTIVE: We examined the association between county-level structural racism indicators and the odds of severe maternal morbidity (SMM) in New York State. DESIGN: We merged individual-level hospitalization data from the New York State Department of Health Statewide Planning and Research Cooperative...

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Autores principales: Liu, Sze Yan, Fiorentini, Christina, Bailey, Zinzi, Huynh, Mary, McVeigh, Katharine, Kaplan, Deborah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842459/
https://www.ncbi.nlm.nih.gov/pubmed/35237092
http://dx.doi.org/10.1177/1179562X19854778
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author Liu, Sze Yan
Fiorentini, Christina
Bailey, Zinzi
Huynh, Mary
McVeigh, Katharine
Kaplan, Deborah
author_facet Liu, Sze Yan
Fiorentini, Christina
Bailey, Zinzi
Huynh, Mary
McVeigh, Katharine
Kaplan, Deborah
author_sort Liu, Sze Yan
collection PubMed
description OBJECTIVE: We examined the association between county-level structural racism indicators and the odds of severe maternal morbidity (SMM) in New York State. DESIGN: We merged individual-level hospitalization data from the New York State Department of Health Statewide Planning and Research Cooperative System (SPARCS) with county-level data from the American Community Survey and the Vera Institute of Justice from 2011 to 2013 (n = 244 854). Structural racism in each county included in our sample was constructed as the racial inequity (ratio of black to white population) in female educational attainment, female employment, and incarceration. RESULTS: Multilevel logistic regression analysis estimated the association between each of these structural racism indicators and SMM, accounting for individual- and hospital-level characteristics and clustering in facilities. In the models adjusted for individual- and hospital-level factors, county-level racial inequity in female educational attainment was associated with small but statistically significant higher odds of SMM (odds ratio [OR] = 1.17, 95% confidence interval [CI] = 1.47, 1.85). County-level structural racism indicators of female employment inequity and incarceration inequity were not statistically significant. Interaction terms examining potential effect measure modification by race with each structural racism indicator also indicated no statistical difference. CONCLUSIONS: Studies of maternal disparities should consider multiple dimensions of structural racism as a contributing cause to SMM and as an additional area for potential intervention.
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spelling pubmed-88424592022-03-01 Structural Racism and Severe Maternal Morbidity in New York State Liu, Sze Yan Fiorentini, Christina Bailey, Zinzi Huynh, Mary McVeigh, Katharine Kaplan, Deborah Clin Med Insights Womens Health Case Report OBJECTIVE: We examined the association between county-level structural racism indicators and the odds of severe maternal morbidity (SMM) in New York State. DESIGN: We merged individual-level hospitalization data from the New York State Department of Health Statewide Planning and Research Cooperative System (SPARCS) with county-level data from the American Community Survey and the Vera Institute of Justice from 2011 to 2013 (n = 244 854). Structural racism in each county included in our sample was constructed as the racial inequity (ratio of black to white population) in female educational attainment, female employment, and incarceration. RESULTS: Multilevel logistic regression analysis estimated the association between each of these structural racism indicators and SMM, accounting for individual- and hospital-level characteristics and clustering in facilities. In the models adjusted for individual- and hospital-level factors, county-level racial inequity in female educational attainment was associated with small but statistically significant higher odds of SMM (odds ratio [OR] = 1.17, 95% confidence interval [CI] = 1.47, 1.85). County-level structural racism indicators of female employment inequity and incarceration inequity were not statistically significant. Interaction terms examining potential effect measure modification by race with each structural racism indicator also indicated no statistical difference. CONCLUSIONS: Studies of maternal disparities should consider multiple dimensions of structural racism as a contributing cause to SMM and as an additional area for potential intervention. SAGE Publications 2019-06-14 /pmc/articles/PMC8842459/ /pubmed/35237092 http://dx.doi.org/10.1177/1179562X19854778 Text en © The Author(s) 2019 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Case Report
Liu, Sze Yan
Fiorentini, Christina
Bailey, Zinzi
Huynh, Mary
McVeigh, Katharine
Kaplan, Deborah
Structural Racism and Severe Maternal Morbidity in New York State
title Structural Racism and Severe Maternal Morbidity in New York State
title_full Structural Racism and Severe Maternal Morbidity in New York State
title_fullStr Structural Racism and Severe Maternal Morbidity in New York State
title_full_unstemmed Structural Racism and Severe Maternal Morbidity in New York State
title_short Structural Racism and Severe Maternal Morbidity in New York State
title_sort structural racism and severe maternal morbidity in new york state
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842459/
https://www.ncbi.nlm.nih.gov/pubmed/35237092
http://dx.doi.org/10.1177/1179562X19854778
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