Rapid and sustained contact tracing training for COVID-19 in San Francisco: a training model for developing an emergency public health workforce.

The City and County of San Francisco was the first municipality in the United States to institute a COVID-19 contact tracing program. The San Francisco Department of Public Health (SFDPH) and the University of California, San Francisco (UCSF) created an outcome-based fully remote contact tracing curriculum using participatory learning methods to train non-public health emergency workers as contact tracers. Between April and December 2020, we trained over 300 individuals in contact tracing skills and procedures over three training phases. Using iterative curriculum design and Kirkpatrick's evaluation methodology, we aimed to ensure high quality and successful person-centered contact tracing. The resulting curriculum consisted of 24 learning outcomes taught with six participatory skills development activities, asynchronous materials, and one-on-one contact tracer support. We collected more than 700 responses from trainees using various evaluation tools across the training phases, and contact tracers interviewed more than 24,000 contacts after training in our program. Our evaluations showed that knowledge and skills improved for most trainees and demonstrated the utility of the training program in preparing trainees to perform person-centered contact tracing in San Francisco. Local health jurisdictions and state health agencies can use this model of curriculum development and evaluation to rapidly train a non-public health workforce to respond to future public health emergencies.

"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.

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.

Expanding the Pie-Differentiated PrEP Delivery Models to Improve PrEP Uptake in the San Francisco Bay Area.

BACKGROUND: Pre-exposure prophylaxis (PrEP) uptake among trans people to date has been low. Recommendations implemented in San Francisco to offer PrEP with feminizing hormones have not led to improvement of PrEP uptake in trans communities. New delivery models may be needed. The aim of this study was to examine whether a PrEP-only clinic was more likely to serve trans people at highest risk of HIV than trans-affirming primary care clinics. METHODS: Participants were recruited between 2017 and 2019 as part of a PrEP demonstration project in the San Francisco Bay Area. Survey data including sociodemographics, HIV-related risk behavior, barriers to PrEP, and self-reported PrEP adherence were collected at baseline, 3 months, and 6 months for all participants. Bivariable Poisson regression models were used to examine differences between participants in the primary care clinics and PrEP-only clinic delivered to participants. RESULTS: Baseline survey data were collected from 153 participants. Those with a higher number of sexual partners were significantly more likely to use the PrEP-only clinic rather than the primary care clinics. Participants with higher perceived HIV risk and those who engaged in sex work were also more likely to use the PrEP-only clinic compared with the primary care clinic. Medical mistrust was higher at baseline among participants of the PrEP-only clinic. PrEP adherence was not significantly different by delivery model. Few participants identified PrEP barriers, such as interactions with feminizing hormones, to be determinants of PrEP uptake. CONCLUSIONS: A PrEP-only delivery model could improve PrEP uptake and may better meet the needs of trans people who could most benefit from PrEP.