Severe maternal morbidity rates in a US-based electronic health record database, 2018-2022
J Perinatol
.
2023 Oct;43(10):1316-1318.
doi: 10.1038/s41372-023-01765-7.
Epub 2023 Aug 28.
Authors
Moeun Son
1
,
Jennifer F Culhane
2
,
Judette M Louis
3
,
Sara C Handley
4
5
6
,
Heather H Burris
4
5
6
,
Jay Greenspan
7
8
,
Kathryn M McKenney
9
,
Kevin Dysart
7
8
Affiliations
1
Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT, USA. Moeun.son@yale.edu.
2
Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT, USA.
3
Department of Obstetrics and Gynecology, University of South Florida, Tampa, FL, USA.
4
Division of Neonatology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
5
Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
6
Leonard Davis Institute of Health Economics, Philadelphia, PA, USA.
7
Division of Neonatology, Nemours Children's Hospital, Wilmington, DE, USA.
8
Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
9
Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA.
PMID:
37640810
DOI:
10.1038/s41372-023-01765-7
No abstract available
MeSH terms
Electronic Health Records*
Female
Humans
Morbidity
Pregnancy
Retrospective Studies