Beginning and Duration of Pregnancy in Automated Health Care Databases: Review of Estimation Methods and Validation Results
Document Type
Article
Publication Date
2015
Keywords
administrative data, beginning of pregnancy, claims data, duration of pregnancy, electronic medical records, last menstrual period, pharmacoepidemiology
Digital Object Identifier (DOI)
https://doi.org/10.1002/pds.3743
Abstract
Purpose: To describe methods reported in the literature to estimate the beginning or duration of pregnancy in automated health care data, and to present results of validation exercises where available.
Methods: Papers reporting methods for determining the beginning or duration of pregnancy were identified based on Pubmed searches, by consulting investigators with expertise in the field and by reviewing conference abstracts and reference lists of relevant papers. From each paper or abstract, we extracted information to characterize the study population, data sources, and estimation algorithm. We then grouped these studies into categories reflecting their general methodological approach.
Results: Methods were classified into 5 categories: (i) methods that assign a uniform duration for all pregnancies, (ii) methods that assign pregnancy duration based on preterm-delivery or health care related codes, or codes for other pregnancy outcomes, (iii) methods based on the timing of prenatal care, (iv) methods based on birth weight, and (v) methods that combine elements from 2 and 3. Validation studies evaluating these methods used varied approaches, with results generally reporting on the mistiming of the start of pregnancy, incorrect estimation of the duration of pregnancy, or misclassification of drug exposure during pregnancy or early pregnancy.
Conclusions: In the absence of accurate information on the beginning or duration of pregnancy, several methods of varying complexity are available to estimate them. Validation studies have been performed for many of them and can serve as a guide for method selection for a particular study. Copyright © 2015 John Wiley & Sons, Ltd.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Pharmacoepidemiology and Drug Safety, v. 24, issue 4, p. 335-342
Scholar Commons Citation
Margulis, Andrea V.; Palmsten, Kristin; Andrade, Susan E.; Charlton, Rachel A.; Hardy, Janet R.; Cooper, William O.; and Hernández-Díaz, Sonia, "Beginning and Duration of Pregnancy in Automated Health Care Databases: Review of Estimation Methods and Validation Results" (2015). Epidemiology and Biostatistics Faculty Publications. 48.
https://digitalcommons.usf.edu/epb_facpub/48
