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A Multistakeholder Qualitative Study to Inform Sexual Orientation and Gender Identity Data Collection in the Cancer
Matthew Triplette1,2, Nicholas Giustini3, Nicolas Anderson1
1Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Abstract:
Purpose: Sexual and gender minoritized (SGM) populations face health disparities along the cancer care continuum, although attempts to define these disparities are limited by a lack of comprehensive sexual orientation and gender identity (SOGI) data collection. The objective of this study was to interview a diverse group of stakeholders to understand attitudes, barriers, and facilitators to inform data collection approaches in a cancer care setting. Methods: This was a qualitative study conducted from March to July 2023 with paired surveys of stakeholders including patients, caregivers, providers, and cancer registry staff. Twenty participants across these categories, including half who identified as SGM, completed surveys and interviews. Qualitative data were reduced to themes with exemplar quotations using rapid qualitative analysis methods and compared to survey data. Results: Themes revealed general support for SOGI data collection as part of holistic cancer care, and all participants acknowledged that specific SOGI-related information, particularly correct pronoun usage, was essential to inform patient-centered care. Themes revealed tensions around optimal SOGI data collection methods, mixed opinions on the relevance of sexual orientation, experiences of discrimination and discomfort related to SOGI, and limited acknowledgment of population benefits of SOGI data collection. Conclusion: Themes demonstrated overall support for SOGI data collection but also revealed several barriers, such as a lack of recognition of population benefits and experiences of discrimination and discomfort, that will need to be addressed to comprehensively collect these data. Based on diverse preferences and limitations of all methods of collection, a multimodal approach may be needed to optimize completion.
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