The impacts of HIV-related service interruptions during COVID-19 pandemic in South Carolina

Abstract The global COVID-19 pandemic has imposed unprecedented pressure on health systems and has interrupted public health efforts for other major health conditions, including HIV. HIV service interruptions in the forms of redeployment of staff, reallocation of resources, lack of equipment and medicine (e.g., shortages of HIV/STI

testing kits, strained drug supply chain), and reduced access to care (e.g., travel restrictions, lock downs) may have a profound and long-term impact on HIV treatment cascade outcomes, especially given the evolving nature of the pandemic. There are several gaps in the existing literature in addressing HIV service

interruptions and their consequences. These gaps include a lack of using large-scale, real-world, multi-type data with theoretical guidance; the focus on single or limited HIV treatment cascade outcomes; and limited efforts to identify factors that can mitigate the negative impacts of such interruptions to inform potential

interventions and capacity building at state or local levels. In response to NOT-AI-21-057, we propose to comprehensively investigate HIV service interruptions during the COVID-19 pandemic following a socioecological model, assess their impacts on various outcomes of the HIV prevention and treatment cascade,

and identify resilience resources for buffering impacts of interruptions on HIV treatment cascade outcomes. Specifically, we will assess HIV service interruptions in South Carolina (SC) since 2020 using operational report data of Ryan White HIV clinics, in-depth interview data with clinic leaders and providers, and HIV

service utilization data based on both electronic health records (EHR) and publicly available cellphone-based HIV clinics visitation data. We will further explore how HIV service interruptions affects HIV prevention and treatment cascade outcomes at appropriate geospatial units based on the integration of multi-type datasets

(e.g., EHR, geospatial data) from multiple sources. Finally, we will identify institutional-, community-, and structural-level factors (e.g., resilience resources) that may mitigate the adverse impacts of HIV service interruptions based on the triangulation of quantitative (EHR data, online survey data) and qualitative (in-

depth interviews, focus group discussion) data regarding health infrastructure, social capital, and organizational preparedness. Our proposed research can lead to a better understanding of complicated HIV service interruptions in SC and resilience factors that can mitigate the negative effects of such interruptions on

various HIV treatment cascade outcomes. The multi-level resilience resources identified through data triangulation will assist SC health departments and communities in developing strategic plans in response to this evolving pandemic and other future public health emergencies (e.g., monkeypox, disasters caused by

climate change). The research findings can also inform public health policymaking and the practices of other Deep South states with similar sociocultural contexts and experiences of HIV service interruptions during the pandemic.