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Defining, measuring, and evaluating prenatal care in insurance claims data
Elizabeth Simmons1,2, Mekhala V Dissanayake2,3, Jacob C Kahrs3
1Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Identifying prenatal care visits in insurance claims data is complex. This study reviews methods and definitions for prenatal care, guiding researchers to choose the best approach based on their study goals for accurate perinatal epidemiology.
Area of Science:
- Perinatal Epidemiology
- Health Services Research
Background:
- Insurance claims data are vital for perinatal epidemiology research.
- Prenatal care is a key intervention but lacks a consistent definition in research and clinical settings.
- Accurate identification of prenatal care encounters in claims data is challenging.
Purpose of the Study:
- To discuss the complexities of identifying prenatal care visits in insurance claims databases.
- To review existing methods for identifying prenatal care encounters.
- To explore how study goals should influence the definition of prenatal care used by investigators.
Main Methods:
- Categorized definitions of prenatal care into three groups: all healthcare during pregnancy, pregnancy-specific healthcare, and guideline-concordant healthcare.
- Identified five common methods used in insurance claims data studies to identify prenatal care encounters.
- Utilized example study goals to illustrate considerations for applying different identification methods.
Main Results:
- Prenatal care definitions vary, impacting study outcomes.
- Five distinct methods for identifying prenatal care encounters were identified in claims data research.
- The choice of method for identifying prenatal care visits should align with specific research objectives.
Conclusions:
- Researchers must carefully consider their study goals when selecting a definition and method for identifying prenatal care in insurance claims data.
- Standardizing definitions and methods could improve the reliability of perinatal epidemiology studies.
- This work provides a framework for investigators to make informed decisions regarding prenatal care identification in claims data.
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