Examining the Prevalence Rates of Preexisting Maternal Medical Conditions and Pregnancy Complications by Source: Evidenc
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Examining the Prevalence Rates of Preexisting Maternal Medical Conditions and Pregnancy Complications by Source: Evidence to Inform Maternal and Child Research Candace A. Robledo1 · Edwina H. Yeung1 · Pauline Mendola1 · Rajeshwari Sundaram2 · Nansi S. Boghossian1 · Erin M. Bell3,4 · Charlotte Druschel4,5
© Springer Science+Business Media New York (outside the USA) 2016
Abstract Objectives We sought to examine whether there are systematic differences in ascertainment of preexisting maternal medical conditions and pregnancy complications from three common data sources used in epidemiologic research. Methods Diabetes mellitus, chronic hypertension, gestational diabetes mellitus (GDM), gestational hypertensive disorders (GHD), placental abruption and premature rupture of membranes (PROM) among 4821 pregnancies were identified via birth certificates, maternal self-report at approximately 4 months postpartum and by discharge codes from the Statewide Planning and Research Cooperative System (SPARCS), a mandatory New York State hospital reporting system. The kappa
Electronic supplementary material The online version of this article (doi:10.1007/s10995-016-2177-8) contains supplementary material, which is available to authorized users.
Edwina H. Yeung [email protected] 1
Epidemiology Branch, Division of Intramural Population Health Research (DIPHR), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), 6710B Rockledge Drive, Room 3122, Bethesda, MD 20892, USA
2
Bioinformatics Branch, DIPHR, NICHD, NIH, Rockville, MD, USA
3
Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY, USA
4
Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, Albany, NY, USA
5
Congenital Malformations Registry, New York State Department of Health, Albany, NY, USA
statistic (k) was estimated to ascertain beyond chance agreement of outcomes between birth certificates with either maternal self-report or SPARCS. Results GHD was under-ascertained on birth certificates (5.7 %) and more frequently indicated by maternal report (11 %) and discharge data (8.2 %). PROM was indicated more on birth certificates (7.4 %) than maternal report (4.5 %) or discharge data (5.7 %). Confirmation across data sources for some outcomes varied by maternal age, race/ethnicity, prenatal care utilization, preterm delivery, parity, mode of delivery, infant sex, use of infertility treatment and for multiple births. Agreement between maternal report and discharge data with birth certificates was generally poor (kappa
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