Differential Reporting of Severe Maternal Morbidity on US Birth Certificate and Claims Data by Race and Ethnicity.

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Bibliographic Details
Title: Differential Reporting of Severe Maternal Morbidity on US Birth Certificate and Claims Data by Race and Ethnicity.
Authors: Pineles BL; From the Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA., Harris AD; Department of Epidemiology and Public Health, The University of Maryland School of Medicine, Baltimore, MD.; University of Maryland Institute for Health Computing, North Bethesda, MD., Pineles L; Department of Epidemiology and Public Health, The University of Maryland School of Medicine, Baltimore, MD., Davis EM; University of Maryland Institute for Health Computing, North Bethesda, MD.; Department of Family & Community Medicine, The University of Maryland School of Medicine, Baltimore, MD., Joseph KS; Departments of Obstetrics and Gynaecology and the School of Population and Public Health, University of British Columbia and the Children's and Women's Hospital and Health Centre of British Columbia, Vancouver, BC, Canada., Schisterman E; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA., Magder LS; Department of Epidemiology and Public Health, The University of Maryland School of Medicine, Baltimore, MD., Goodman KE; Department of Epidemiology and Public Health, The University of Maryland School of Medicine, Baltimore, MD.
Source: Epidemiology (Cambridge, Mass.) [Epidemiology] 2026 May 01; Vol. 37 (3), pp. 345-354. Date of Electronic Publication: 2026 Mar 31.
Publication Type: Journal Article
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 9009644 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1531-5487 (Electronic) Linking ISSN: 10443983 NLM ISO Abbreviation: Epidemiology Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1531-5487
DOI:10.1097/EDE.0000000000001954