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. 2024 Aug;28(8):1308-1314.
doi: 10.1007/s10995-024-03935-1. Epub 2024 May 29.

Gestational Diabetes Prevalence Estimates from Three Data Sources, 2018

Michele L F Bolduc  1 , Carla I Mercado  2 , Yan Zhang  3 , Elizabeth A Lundeen  3 , Nicole D Ford  4 , Kai McKeever Bullard  3 , Denise C Carty  5
Affiliations

Gestational Diabetes Prevalence Estimates from Three Data Sources, 2018

Michele L F Bolduc et al. Matern Child Health J. 2024 Aug.

Abstract

Introduction: We investigated 2018 gestational diabetes mellitus (GDM) prevalence estimates in three surveillance systems (National Vital Statistics System, State Inpatient Database, and Pregnancy Risk Assessment Monitoring Survey).

Methods: We calculated GDM prevalence for jurisdictions represented in each system; a subset of data was analyzed for people 18-39 years old in 22 jurisdictions present in all three systems to observe dataset-specific demographics and GDM prevalence using comparable categories.

Results: GDM prevalence estimates varied widely by data system and within the data subset despite comparable demographics.

Discussion: Understanding the differences between GDM surveillance data systems can help researchers better identify people and places at higher risk of GDM.

Keywords: Birth certificates; Diabetes; Epidemiology; Gestational; Health surveys; Hospital records; Maternal health; Pregnancy.

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Conflict of interest statement

The authors declare they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Gestational diabetes mellitus (GDM) prevalence estimates for 2018 as indicated by National Vital Statistics System (NVSS) (a), State Inpatient Database (SID) (b), and Pregnancy Risk Assessment Monitoring System (PRAMS) data (c). Greyed-out jurisdictions do not have data available for analysis. Maps created at mapchart.net
Fig. 2
Fig. 2
GDM prevalence estimates for 2018 for jurisdictions represented in National Vital Statistics System (pink square), State Inpatient Database (green circle), and Pregnancy Risk Assessment Monitoring System (PRAMS) (blue triangle). Blue error bars indicate 95% CIs for PRAMS estimates
See this image and copyright information in PMC

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