Literature DB >> 34098297

Substance use among women who are pregnant: Examining treatment completion by race and ethnicity.

Zainab Suntai1.   

Abstract

Substance use during pregnancy is a critical public health issue that affects both the mother and the fetus. While research has assessed racial differences in treatment completion among women who are pregnant for specific types of substances, few studies have evaluated treatment completion for a variety of substances. As such, the purpose of this study was to examine racial differences in substance use treatment completion among women who are pregnant. The study derived data from the 2017 Treatment Episode Data-Discharges (TEDS-D) of the Substance Abuse and Mental Health Services Administration (SAMHSA). TEDS-D documents annual discharges from publicly funded substance use treatment programs in the United States, collected by each state and aggregated by SAMHSA. The study used Chi square tests for bivariate analyses and used logistic regression models to predict treatment completion by race and ethnicity. After accounting for other explanatory factors, Black and Hispanic women who were pregnant were significantly less likely to complete treatment compared to Whites. These differences were evident even after examining the interaction between race and substance of use. The study found no differences between Indigenous and Other race women who were pregnant and Whites. Results indicate the need to examine cultural, historical, and systemic factors that could affect lower treatment completion among Black and Hispanic women who are pregnant. Interventions should, therefore, move beyond the impact of socioeconomic factors and focus on the role of social support, external responsibilities, and the criminalizing of substance use during pregnancy.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Black; Hispanic; Substance use; Treatment completion

Mesh:

Year:  2021        PMID: 34098297     DOI: 10.1016/j.jsat.2021.108437

Source DB:  PubMed          Journal:  J Subst Abuse Treat        ISSN: 0740-5472


  4 in total

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4.  Use of machine learning to examine disparities in completion of substance use disorder treatment.

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Journal:  PLoS One       Date:  2022-09-23       Impact factor: 3.752

  4 in total

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