Conceptualizing stigma in contexts of pregnancy and opioid misuse: A qualitative study with women and healthcare providers in Ohio.


Journal

Drug and alcohol dependence
ISSN: 1879-0046
Titre abrégé: Drug Alcohol Depend
Pays: Ireland
ID NLM: 7513587

Informations de publication

Date de publication:
01 05 2021
Historique:
received: 30 11 2020
revised: 25 01 2021
accepted: 31 01 2021
pubmed: 30 3 2021
medline: 7 9 2021
entrez: 29 3 2021
Statut: ppublish

Résumé

Women with histories of opioid misuse face drug-related stigma, which can be amplified during pregnancy. While women are often blamed for their drug use and urged to change, the social contexts that create and reinforce stigma are largely unchallenged. Drawing on a multidimensional model of stigma, we examine how stigma manifested across women's pregnancy journeys to shape access and quality of care. We triangulate in-depth interviews with 28 women with histories of opioid misuse who were pregnant or recently gave birth and 18 healthcare providers in Ohio. Thematic analysis examined how stigma operates across contexts of care. Providers represented physicians, nurses, social workers, counselors, and healthcare administrators. Among 28 women, average age was 30 (range: 22-41) and 79 % were White. Most women used prenatal medication-assisted treatment (MAT), including Suboxone (n = 19) or methadone (n = 8), and 15 were pregnant. Evidence of stigma emerged across healthcare contexts. Structural stigma encoded barriers to care in insurance practices and punitive drug treatment, while enacted stigma manifested as mistreatment and judgment from providers. Unpredictability of an infant diagnosis of neonatal abstinence syndrome (NAS), even when women were "doing everything right" by using MAT, perpetuated anticipated stigma from fear of loss of custody and internalized stigma among women who felt guilty about the diagnosis. Providers recognized the harmful effects of these stigmas and many actively addressed it. We recommend harm reduction approaches to address the multiplicity of stigmas that women navigate in opioid misuse and pregnancy to improve healthcare experiences.

Sections du résumé

BACKGROUND
Women with histories of opioid misuse face drug-related stigma, which can be amplified during pregnancy. While women are often blamed for their drug use and urged to change, the social contexts that create and reinforce stigma are largely unchallenged. Drawing on a multidimensional model of stigma, we examine how stigma manifested across women's pregnancy journeys to shape access and quality of care.
METHODS
We triangulate in-depth interviews with 28 women with histories of opioid misuse who were pregnant or recently gave birth and 18 healthcare providers in Ohio. Thematic analysis examined how stigma operates across contexts of care.
RESULTS
Providers represented physicians, nurses, social workers, counselors, and healthcare administrators. Among 28 women, average age was 30 (range: 22-41) and 79 % were White. Most women used prenatal medication-assisted treatment (MAT), including Suboxone (n = 19) or methadone (n = 8), and 15 were pregnant. Evidence of stigma emerged across healthcare contexts. Structural stigma encoded barriers to care in insurance practices and punitive drug treatment, while enacted stigma manifested as mistreatment and judgment from providers. Unpredictability of an infant diagnosis of neonatal abstinence syndrome (NAS), even when women were "doing everything right" by using MAT, perpetuated anticipated stigma from fear of loss of custody and internalized stigma among women who felt guilty about the diagnosis. Providers recognized the harmful effects of these stigmas and many actively addressed it.
CONCLUSIONS
We recommend harm reduction approaches to address the multiplicity of stigmas that women navigate in opioid misuse and pregnancy to improve healthcare experiences.

Identifiants

pubmed: 33775446
pii: S0376-8716(21)00172-1
doi: 10.1016/j.drugalcdep.2021.108677
pii:
doi:

Substances chimiques

Buprenorphine 40D3SCR4GZ
Methadone UC6VBE7V1Z

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

108677

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Jennifer L Syvertsen (JL)

The Ohio State University, Department of Anthropology, 4034 Smith Lab, 174 W 18(th) Avenue, Columbus, OH, 43210, United States; University of California, Riverside, Department of Anthropology, 900 University Ave, 1320B Watkins Hall, Riverside, CA, 92521, United States. Electronic address: jsyverts@ucr.edu.

Hannah Toneff (H)

The Ohio State University, Department of Anthropology, 4034 Smith Lab, 174 W 18(th) Avenue, Columbus, OH, 43210, United States; University of Pennsylvania School of Social Policy and Practice, 3701 Locust Walk, Philadelphia, PA, 19104, United States. Electronic address: htoneff@upenn.edu.

Heather Howard (H)

Phyllis & Harvey Sandler School of Social Work, Florida Atlantic University College of Social Work & Criminal Justice, 777 Glades Road, SO 308, Boca Raton, FL, 33431, United States. Electronic address: howardh@fau.edu.

Christine Spadola (C)

Phyllis & Harvey Sandler School of Social Work, Florida Atlantic University College of Social Work & Criminal Justice, 777 Glades Road, SO 308, Boca Raton, FL, 33431, United States. Electronic address: cspadola@fau.edu.

Danielle Madden (D)

The Ohio State University, College of Social Work, 1947 North College Road, Columbus, OH, 43210, United States; University of Southern California Suzanne Dworak-Peck School of Social Work, Montgomery Ross Fisher Building, 669 West 34th Street, Los Angeles, CA, 90089-0411, United States. Electronic address: dmadden@usc.edu.

John Clapp (J)

The Ohio State University, College of Social Work, 1947 North College Road, Columbus, OH, 43210, United States; University of Southern California Suzanne Dworak-Peck School of Social Work, Montgomery Ross Fisher Building, 669 West 34th Street, Los Angeles, CA, 90089-0411, United States. Electronic address: johnclap@usc.edu.

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Classifications MeSH