Sexual orientation and gender identity (SOGI) data collection: Feasibility of implementation.

Abstract

338 Background: The 2011 Institute of Medicine report, The Health of Lesbian, Gay, Bisexual, and Transgender People: Building a Foundation for Better Understanding called for consistent recording of sexual orientation and gender identity (SOGI) data in clinical settings. In 2016, SOGI data were listed as required elements in the Uniform Data System (HRSA); however, implementation of this recommendation is inconsistent. The state of New Jersey (NJ) mandated SOGI data collection for patients seen within any healthcare system in NJ to start in June 2023. Jefferson Health (JH), a health system with locations in both Pennsylvania (PA) and NJ, provided SOGI data collection education for its NJ staff. The Sidney Kimmel Cancer Center (SKCC) at JH has clinical sites in both states. In this study, we report on SOGI data collection between SKCC PA (Center City/CC) and SKCC NJ to assess the impact of the educational preparation on data collection. Methods: Patients seen at SKCC’s CC and NJ locations from May 16, 2023 to May 15, 2024 were included. SOGI data between both locations were compared to assess the impact of the educational preparation. Data were collected from the electronic record. Results: Of the 6,921 patients in CC, 1,725 identified as female, 859 identified as male, 67 chose not to disclose their gender identity, and 4270 had missing data. Of the 1788 patients in NJ, 1,118 identified as female, 449 identified as male, 12 chose not to disclose, 209 had missing data. (Table). Conclusions: Educational preparation resulted in significantly improved SOGI data collection with a significant drop in missing data. Regular recording and analysis of SOGI data can identify health inequities, support the design of targeted interventions, and evaluate the effectiveness of LGBTQIA+ healthcare initiatives. SOGI data comparison. Center City (CC)/PA New Jersey (NJ) Total 6921 1788 Female Gender 1725 (24.9%) 1118 (62.5%) Male Gender 859 (12.4%) 449 (25.1%) Chose not to disclose 67 (0.01%) 12 (0.01%) Missing data 4270 (61.7%) 209 (11.7%)