Role of Visit Modality in the HIV-Related No-Shows During the COVID-19 Pandemic: A Multisite Retrospective Cohort Study.

The emergence of the COVID-19 pandemic necessitated rapid expansion of telehealth as part of healthcare delivery. This study compared HIV-related no-shows by visit type (in-person; video; telephone) during the COVID-19 pandemic (April 2020-September 2021) from the Data for Care Alabama project. Using all primary care provider visits, each visit's outcome was categorized as no-show or arrived. A logistic regression model using generalized estimating equations accounting for repeat measures in individuals and within sites calculated odds ratios (OR) and their accompanying 95% confidence interval (CI) for no-shows by visit modality. The multivariable models adjusted for sociodemographic factors. In-person versus telephone visits [OR (95% CI) 1.64 (1.48-1.82)] and in-person versus video visits [OR (95% CI) 1.53 (1.25-1.85)] had higher odds of being a no-show. In-person versus telephone and video no-shows were significantly higher. This may suggest success of telehealth visits as a method for HIV care delivery even beyond COVID-19.

Assessing the Impact of COVID-19 on Retention in HIV Primary Care: A Longitudinal Multisite Analysis.

We compared retention in care outcomes between a pre-COVID-19 (Apr19-Mar20) and an early-COVID-19 (Apr20-Mar21) period to determine whether the pandemic had a significant impact on these outcomes and assessed the role of patient sociodemographics in both periods in individuals enrolled in the Data for Care Alabama project (n = 6461). Using scheduled HIV primary care provider visits, we calculated a kept-visit measure and a missed-visit measure and compared them among the pre-COVID-19 and early-COVID-19 periods. We used logistic regression models to calculated odds ratios (OR) and accompanying 95% confidence intervals (CI). Overall, individuals had lowers odds of high visit constancy [OR (95% CI): 0.85 (0.79, 0.92)] and higher odds of no-shows [OR (95% CI): 1.27 (1.19, 1.35)] during the early-COVID-19 period. Compared to white patients, Black patients were more likely to miss an appointment and transgender people versus cisgender women had lower visit constancy in the early-COVID-19 period.

Assessing the Impact of Social Determinants of Health on HIV Care Engagement in the Southern United States: A Cross-Sectional Study.

Recent studies have shown social determinants of health (SDOH) to impact HIV care engagement. This cross-sectional study (Oct 20-Apr 21) assessed the impact of a range of SDOH on HIV care engagement using data from HIV Care Connect, a consortium of three HIV care facility-led programs (Alabama, Florida, Mississippi). The exposures were captured using the PRAPARE (Protocol for Responding to and Assessing Patient Assets, Risks, and Experiences) scale. The outcome was captured using the Index of Engagement in HIV Care scale. Participants (n = 132) were predominantly non-White (87%) and male (52%) with a median age of 41 years. Multivariable logistic regression adjusted for various sociodemographics showed lower HIV care engagement to be associated with being uninsured/publicly insured, having 1-3 unmet needs, socially integrating ≤five times/week, and having stable housing. Factors such as unmet needs, un-/underinsurance, and social integration may be addressed by healthcare and community organizations.

Assessing How Social Drivers of Health Affect Engagement in HIV Care in the Southern United StatesIt has been found that social factors that have a direct impact on health affect engagement in HIV Care among people living with HIV. We included various social drivers of health to see how they affect engagement in HIV Care. We used data between October 2020 and April 2021 from a project titled HIV Care Connect, which is a group of three facilities providing HIV care in Alabama, Florida, and Mississippi. We used social drivers of health as risk factors from a scale called PRAPARE (Protocol for Responding to and Assessing Patient Assets, Risks, and Experiences). Engagement in HIV care was measured by using a scale called Index of Engagement in HIV Care. A total of 132 participants were included. Majority of the participants were of races other than white (87%), male (52%) and were aged 41 years on average. Statistical analysis showed that participants without insurance or with public insurance, participants with 1-3 unsatisfied needs, participants that met with other people less than or equal to five times a week, and participants that had reliable housing had lower engagement in HIV care. These factors have a potential to be addressed by healthcare and community organizations.

Social Support Assets and Needs of Underrepresented Students Participating in Health Sciences Pathways Programs in Birmingham, Alabama.

BACKGROUND: Using the Asset Bundle Model, we sought to understand the social support assets and needs of underrepresented minority (URM) high school, undergraduate, and graduate students. SETTING: Study participants were or had participated in health sciences pathway programs at Birmingham City Schools and/or the University of Alabama at Birmingham. METHODS: We took a concurrent mixed methods approach to conduct an environmental scan of health science pathway programs in the Birmingham, AL area. Four focus groups were conducted between November 2022 and January 2023, and a 225-item online survey was administered between November 4, 2022, and February 4, 2023. Both tools collected data from high school, undergraduate, and graduate students to examine key components of existing health care pathways programs for URMs and identify barriers and facilitators to successful implementation of such programs. RESULTS: Twenty-two students participated in the focus groups, and 168 individuals responded to the survey. Both focus group participants and interview respondents were primarily URMs (eg, 68.2% and 65.7% identified as Black or African American, respectively). Survey responses and focus group discussions showed that, overall, undergraduate and graduate students programs develop more robust identities as future health care professionals through friendships and institutional supports, expand their networks more broadly through mentorship, and feel more supported by family members in their academic endeavors than high school students. CONCLUSIONS: Health science pathway programs for URMs should facilitate and bolster social supports for students, especially those in high school, to enhance persistence through education and into the workforce.