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The lesbian, gay, bisexual, transgender, queer, or questioning (LGBTQ+) community is vulnerable to health-care disparities. Many health-care organizations are working to collect sexual orientation and gender identity in their electronic health records (EHRs), with the goal of providing more inclusive care to their LGBTQ+ patients. There are significant human and technical barriers to making these efforts successful. Based on our 5-year experience at Geisinger (an integrated health system located in [...]

The purpose of this study was to demonstrate how analyzing social media posts can uncover microaggressions and generate new cultural insights. We explore why Korean women hesitate to seek recommended gynecological care and how microaggressions visible in social media reveal insights for counteracting such harmful messaging.

To report the relationship of outpatient portal (OPP) use with clinical risk, area social determinants of health (SDoH), and race/ethnicity among pregnant women. Regression models predicting overall and individual portal feature use (main effects and interactions) based on key variables were specified using log files and clinical data. Overall OPP use among non-Hispanic Black women or patients who lived in lower SDoH neighborhoods were significantly less. High-risk pregnancy patients were [...]

Most digital health systems (DHS) are unable to capture gender, sex, and sexual orientation (GSSO) data beyond a single binary attribute with female and male options. This binary system discourages access to preventative screening and gender-affirming care for sexual and gender minority (SGM) people. We conducted this 1-year multi-method project and cocreated an action plan to modernize GSSO information practices in Canadian DHS. The proposed actions are to: (1) Envisage [...]

The study sought to develop and apply a framework that uses a clinical phenotyping tool to assess risk for recurrent preterm birth.

Two-step questions to assess gender identity are recommended for optimizing care delivery for gender-diverse individuals. As gender identity fields are increasingly integrated into electronic health records, guidance is needed on how to analyze these data. The goal of this study was to assess potential approaches for analyzing 2-step gender identity questions and the impact of each on suicidal ideation.

To identify differences related to sex and define autism spectrum disorder (ASD) comorbidities female-enriched through a comprehensive multi-PheWAS intersection approach on big, real-world data. Although sex difference is a consistent and recognized feature of ASD, additional clinical correlates could help to identify potential disease subgroups, based on sex and age.