Abstract Sexual orientation and gender identity (SOGI) data are vital but inconsistently collected among cancer centers. Approximately 9.3% of the U.S. population identifies as lesbian, gay, bisexual, queer, and intersex (LGBTQI), a group disproportionately burdened by cancer risk factors, inadequate cancer screening, treatment-related side effects, and inferior cancer-related outcomes. This study aimed to explore themes from a large set of interviews regarding the collection of SOGI data in oncology practice. Sixty-two semi-structured interviews across 23 cancer centers in the U.S. were conducted from February 2023 to December 2023. Interview transcripts were transcribed and double coded using emergent, inductive coding. Key themes included: (1) barriers to SOGI data collection such as stigma and bias, generational and geopolitical resistance, fragmented workflows, competing priorities and institutional inertia; (2) the importance of staff exposure to LGBTQI individuals in understanding SOGI’s clinical relevance; and (3) structural challenges to equitable care for transgender patients, including Electronic Health Record (EHR) limitations and billing issues. Taken together, these findings reveal a complex interplay of sociocultural, institutional, and systemic barriers that impede routine SOGI data collection in cancer care. Across the largest known data set examining SOGI data collection in oncology practice, there were clear differences in attitudes and comfort regarding SOGI data collection based on geopolitical location and generation, heterogeneous training to prepare staff for collection of these data, and an evolving sense of the importance of SOGI data to oncology practice. Institutions should provide clear guidance for implementation, and ensure that staff have the necessary time, training and resources to incorporate these practices into their workflows. Citation Format: Beck O. Gold, Charles Kamen, Dana Rosenberg, Megan A. Mullins, Milena Insalaco, Edward J. Miech, Mandi L. Pratt-Chapman. Sexual orientation and gender identity data in oncology: Themes from a large qualitative study abstract. In: Proceedings of the 18th AACR Conference on the Science of Cancer Health Disparities; 2025 Sep 18-21; Baltimore, MD. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(9 Suppl):Abstract nr B106.
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Beck O. Gold
George Washington University
Charles Kamen
University of Rochester Medical Center
D Rosenberg
UW Health University Hospital
Cancer Epidemiology Biomarkers & Prevention
Indiana University – Purdue University Indianapolis
George Washington University
Indiana University School of Medicine
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Gold et al. (Thu,) studied this question.
synapsesocial.com/papers/68d464f131b076d99fa64368 — DOI: https://doi.org/10.1158/1538-7755.disp25-b106