Identification of pregnancies and their outcomes in healthcare claims data, 2008-2019: An algorithm.
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ABSTRACT: Pregnancy is a condition of broad interest across many medical and health services research domains, but one not easily identified in healthcare claims data. Our objective was to establish an algorithm to identify pregnant women and their pregnancies in claims data. We identified pregnancy-related diagnosis, procedure, and diagnosis-related group codes, accounting for the transition to International Statistical Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) diagnosis and procedure codes, in health encounter reporting on 10/1/2015. We selected women in Merative MarketScan commercial databases aged 15-49 years with pregnancy-related claims, and their infants, during 2008-2019. Pregnancies, pregnancy outcomes, and gestational ages were assigned using the constell
SUBMITTER: Ailes EC
PROVIDER: S-EPMC10124843 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
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