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Sex, sexual orientation, and gender identity data collection across electronic health record platforms: a national cross-sectional survey

Carl G. Streed, Maylene Navarra, Lauren B. Beach, Gregory Phillips, Paige N. Hackenberger, Sumanas W. Jordan

2024JAMIA Open11 citationsDOIOpen Access PDF

Abstract

Abstract Objectives To assess the current state of sex, sexual orientation, and gender identity (SSOGI) data collection options in US electronic health record (EHR) platforms. Materials and Methods We utilized an anonymous survey distributed via purposive snowball sampling to assess EHR platforms across the United States. Results Of 90 surveys started, 41 (45.6%) were completed and used for data analysis. Respondents represented a geographically diverse sample of health care centers across the United States. EPIC was the most used EHR platform (70.7%) followed by Cerner (9.8%). Across reported platforms, a majority utilized structured fields to collect and document patient SSOGI data (n = 25, 61.0%). There was variability across platforms regarding SSOGI data elements collected. No platform collected all recommended SSOGI data elements. Discussion Significant variation exists across EHR platforms and across health care settings using the same EHR platform. Conclusion National standards need to be followed for SSOGI data collection in EHR platforms.

Topics & Concepts

Snowball samplingData collectionSexual orientationSample (material)Gender identityHealth careSurvey data collectionEPICCross-sectional studyData qualityData sciencePsychologyMedicineComputer sciencePolitical scienceEngineeringSocial psychologySociologyStatisticsMathematicsOperations managementSocial scienceChromatographyLawChemistryLiteraturePathologyMetric (unit)ArtSex and Gender in HealthcareLGBTQ Health, Identity, and PolicyElectronic Health Records Systems