Validity of Birth Certificate Data Compared With Hospital Discharge Data in Reporting Maternal Morbidity and Disparities.


Journal

Obstetrics and gynecology
ISSN: 1873-233X
Titre abrégé: Obstet Gynecol
Pays: United States
ID NLM: 0401101

Informations de publication

Date de publication:
04 Jan 2024
Historique:
received: 01 09 2023
accepted: 09 11 2023
medline: 4 1 2024
pubmed: 4 1 2024
entrez: 4 1 2024
Statut: aheadofprint

Résumé

A growing number of studies are using birth certificate data, despite data-quality concerns, to study maternal morbidity and associated disparities. We examined whether conclusions about the incidence of maternal morbidity, including Black-White disparities, differ between birth certificate data and hospitalization data. Using linked birth certificate and hospitalization data from California and Michigan for 2018 (N=543,469), we found that maternal morbidity measures using birth certificate data alone are substantially underreported and have poor validity. Furthermore, the degree of underreporting in birth certificate data differs between Black and White individuals and results in erroneous inferences about disparities. Overall, Black-White disparities were more modest in the birth certificate data compared with the hospitalization data. Birth certificate data alone are inadequate for studies of maternal morbidity and associated racial disparities.

Identifiants

pubmed: 38176017
doi: 10.1097/AOG.0000000000005497
pii: 00006250-990000000-00995
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Eunice Kennedy Shriver National Institute of Child Health and Human Development
ID : R01HD099197
Organisme : Eunice Kennedy Shriver National Institute of Child Health and Human Development
ID : R01HD099197
Organisme : Eunice Kennedy Shriver National Institute of Child Health and Human Development
ID : R01HD103736

Informations de copyright

Copyright © 2024 by the American College of Obstetricians and Gynecologists. Published by Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

Financial Disclosure The authors did not report any potential conflicts of interest.

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Auteurs

Alison Gemmill (A)

Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; the Department of Pediatrics, Children's Hospital of Philadelphia, and the Leonard Davis Institute of Health Economics, Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania; the Health Economics Resource Center, Veterans Affairs Palo Alto Healthcare System, Menlo Park, and the Department of Pediatrics and the Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California; and the Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota.

Classifications MeSH