Diabetes mellitus and pregnancy, how to analyze national individual-level data

Abstract

Objective: This study aims to present the methodological framework and analytical approaches for utilizing national individual- -level data on diabetes mellitus in pregnancy, a condition that poses a significant risk to the health of both mother and child. Materials and methodology: The National Health Information System serves as the central repository for data on the Czech healthcare system. Through the integration of various recorded datasets, it enables detailed analysis of the incidence of diabetes mellitus in connection with pregnancy, provided that an appropriate analytical algorithm is applied. The input dataset for the analysis consisted of births recorded between 2012 and 2023 in the National Register of Reproductive Health, specifically the Mothers module. In total, 1,240,227 births were included in the analysis. For each case, the presence of the disease was verified using records from the National Register of Reimbursed Health Services. Results and conclusion: Based on the defined criteria, including specific medications, reported medical procedures, medical devices, and disease diagnoses, the prevalence of diabetes mellitus among parturient women was determined to be 15.4%. Thanks to the interconnected structure of the National Health Information System and newly established definition of a pregnant woman with diabetes, it will be possible to continue analyzing the prevalence and health impacts of this condition at the national level.