Abstract

BackgroundIndividuals experiencing homelessness may be at a disproportionately high risk for hepatitis C (HCV) because they may be more likely to engage in HCV risk behaviors. Community organizations that provide services to these vulnerable individuals can effectively screen, diagnose, and navigate them into HCV care. However, screening people experiencing homelessness for HCV at such organizations is limited by various challenges that remain understudied, including budgetary considerations and strategies to improve teamwork and communication. Accordingly, this study investigated the organizational challenges and facilitators to HCV screening of individuals experiencing homelessness as reported by homeless services providers.MethodsStaff (N = 21) at two community organizations in Houston, Texas, completed an interviewer-administered survey and a semi-structured interview in August 2020 to assess the challenges and facilitators to screening people experiencing homelessness for HCV. Interviews were coded, and a thematic analysis was conducted to identify challenges as well as facilitators to HCV screening among individuals experiencing homelessness.ResultsAlmost half of participants were employed in social services (42.86%; n = 9), while the remainder were employed in management/administration and health services. Barriers to HCV screening included funding, logistics, and resource-related challenges; and limited communication and collaboration around HCV screening. Facilitators to HCV screening included providing HCV education and training for all staff; and incentivizing, formalizing, and funding HCV screening.ConclusionsCommunity organizations can help minimize barriers to HCV screening among individuals experiencing homelessness by providing staff with training specific to HCV, client education around HCV and the screening process, and providing clients with incentives for participation, as well as by maximizing community and clinic partnerships to provide linkage to care and services to this high-risk population.

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