"I Have to Ask": A Mixed-Methods Study on the Collection of Sexual Orientation and Gender Identity Data Within the San Francisco County COVID-19 Case Investigation and Contact Tracing Program.
| Autor: | Gutierrez-Mock L; University of California San Francisco, San Francisco, California (Mr Gutierrez-Mock and Dr Reid); Dimagi, Inc, Cambridge, Massachusetts (Ms Burgess and Dr Ho); and San Francisco Department of Public Health, San Francisco, California (Messrs Pardo and Persson and Ms Gagliano)., Burgess H, Pardo S, Persson M, Gagliano J, Ho YX, Reid MJA |
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| Jazyk: | angličtina |
| Zdroj: | Journal of public health management and practice : JPHMP [J Public Health Manag Pract] 2023 Jan-Feb 01; Vol. 29 (1), pp. 71-76. Date of Electronic Publication: 2022 Aug 31. |
| DOI: | 10.1097/PHH.0000000000001584 |
| Abstrakt: | Objective: To understand how the San Francisco (SF) COVID-19 case investigation and contact tracing (CICT) workforce documented sexual orientation and gender identity (SOGI) data, as well as a qualitative assessment of the workforce's capacity to successfully collect that data. Methods: This mixed-methods project analyzed data from 2 sources: SOGI item completeness among adult completed/partially completed interviews in the SF digital CICT COVID-19 database, and a secondary data analysis of qualitative data from 16 semistructured 90-minute virtual interviews with the SF CICT workforce, between November 14, 2020, and April 14, 2021. Results: Among 15 416 COVID-19 cases and 7836 close contacts, sexual orientation data are missing from 20% of cases and 17% of contacts. The proportion of transgender/nonbinary individuals was 0.32% and 0.5%, respectively. The SF CICTs participants discussed challenges in collecting SOGI data, not understanding SOGI measure rationale, and feeling uncomfortable asking the questions. Conclusion: Qualitative interviews with the COVID-19 CICT workforce and quantitative data on SOGI parameters in COVID-19 surveillance suggest that these data may have been underreported. Our results strongly suggest that comprehensive training is crucial in the collection of SOGI data among COVID-19 cases and their close contacts. If SOGI data are not collected accurately, the true impact of COVID-19 among lesbian, gay, bisexual, transgender, and queer populations remains unknown, preventing data-driven allocation of COVID-19 funds to lesbian, gay, bisexual, transgender, and queer communities. Competing Interests: The authors declare no conflicts of interest. (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.) |
| Databáze: | MEDLINE |
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