Which Features of Telehealth in HIV Care Are Most Important? A Mixed-Methods Study With HIV Care Providers and People Living With HIV in South Carolina.

ABSTRACT: Telehealth was rapidly implemented in HIV care during COVID-19 yet remains understudied. To assess the importance of telehealth features, we conducted a mixed-methods study with HIV care providers and people living with HIV. Qualitative interviews and ranking exercises revealed heterogeneity in preference-relevant features of telehealth in HIV care.

Multi-level Factors Associated with HIV Late Presentation with Advanced Disease and Delay Time of Diagnosis in South Carolina, 2005-2019.

This study explored individual- and county-level risk factors of late presentation with advanced disease (LPAD) among people with HIV (PWH) and their longer delay time from infection to diagnosis in South Carolina (SC), using SC statewide Enhanced HIV/AIDS Reporting System (eHARS). LPAD was defined as having an AIDS diagnosis within three months of initial HIV diagnosis, and delay time from HIV infection to diagnosis was estimated using CD4 depletion model. 3,733 (41.88%) out of 8,913 adult PWH diagnosed from 2005 to 2019 in SC were LPAD, and the median delay time was 13.04 years. Based on the generalized estimating equations models, PWH who were male (adjusted prevalence ratio [aPR]: 1.22, 95% CI: 1.12 ∼ 1.33), aged 55+ (aPR: 1.76, 95% CI: 1.62 ∼ 1.92), were Black (aPR: 1.09, 95% CI: 1.03 ∼ 1.15) or Hispanic (aPR: 1.42, 95% CI: 1.26 ∼ 1.61), and living in counties with a larger proportion of unemployment individuals (aPR: 1.02, 95% CI: 1.01 ∼ 1.03) were more likely to be LPAD. Among PWH who were LPAD, Hispanic (adjusted beta: 1.17, 95% CI: 0.49 ∼ 1.85) instead of Black (adjusted beta: 0.11, 95% CI: -0.30 ∼ 0.52) individuals had significant longer delay time compared to White individuals. Targeted and sustained interventions are needed for older, male, Hispanic or Black individuals and those living in counties with a higher percentage of unemployment because of their higher risk of LPAD. Additionally, specific attention should be paid to Hispanic individuals due to their longer delay time to diagnosis.

Travel Burden and Timely Linkage to Care Among People Newly Diagnosed with HIV Infection in South Carolina from 2005 to 2020.

This retrospective study explored the association between travel burden and timely linkage to care (LTC) among people with HIV (PWH) in South Carolina. HIV care data were derived from statewide all-payer electronic health records, and timely LTC was defined as having at least one viral load or CD4 count record within 90 days after HIV diagnosis before the year 2015 and 30 days after 2015. Travel burden was measured by average driving time (in minutes) to any healthcare facility visited within six months before and one month after the initial HIV diagnosis. Multivariable logistic regression models with the least absolute shrinkage and selection operator were employed. From 2005 to 2020, 81.2% (3,547 out of 4,366) of PWH had timely LTC. Persons who had longer driving time (adjusted Odds Ratio (aOR): 0.37, 95% CI: 0.14-0.99), were male versus female (aOR: 0.73, 95% CI: 0.58-0.91), had more comorbidities (aOR: 0.73, 95% CI: 0.57-0.94), and lived in counties with a higher percentage of unemployed labor force (aOR: 0.21, 95% CI: 0.06-0.71) were less likely to have timely LTC. However, compared to those aged between 18 and 24 years old, those aged between 45 and 59 (aOR:1.47, 95% CI: 1.14-1.90) or older than 60 (aOR:1.71, 95% CI: 1.14-2.56) were more likely to have timely LTC. Concentrated and sustained interventions targeting underserved communities and the associated travel burden among newly diagnosed PWH who are younger, male, and have more comorbidities are needed to improve LTC and reduce health disparities.

Use of machine learning approaches to predict transition of retention in care among people living with HIV in South Carolina: a real-world data study.

Maintaining retention in care (RIC) for people living with HIV (PLWH) helps achieve viral suppression and reduce onward transmission. This study aims to identify the best machine learning model that predicts the RIC transition over time. Extracting from the enhanced HIV/AIDS reporting system, this study included 9765 PLWH from 2005 to 2020 in South Carolina. Transition of RIC was defined as the change of RIC status in each two-year time window. We applied seven classifiers, such as Random Forest, Support Vector Machine, eXtreme Gradient Boosting and Long-short-term memory, for each lagged response to predict the subsequent year's RIC transition. Classification performance was assessed using balanced prediction accuracy, the area under the curve (AUC), recall, precision and F1 scores. The proportion of the four categories of RIC transition was 13.59%, 29.78%, 9.06% and 47.57%, respectively. Support Vector Machine was the best approach for every lag model based on both the F1 score (0.713, 0.717 and 0.719) and AUC (0.920, 0.925 and 0.928). The findings could facilitate the risk augment of PLWH who are prone to follow-up so that clinicians and policymakers could come up with more specific strategies and relocate resources for intervention to keep them sustained in HIV care.

The dynamic risk factors of cardiovascular disease among people living with HIV: a real-world data study.

BACKGROUND: This study aims to investigate the incidence and dynamic risk factors for cardiovascular diseases (CVD) among people living with HIV (PLWH). METHODS: In this population-based statewide cohort study, we utilized integrated electronic health records data to identify adult (age ≥ 18) who were diagnosed with HIV between 2006 and 2019 and were CVD event-free at the HIV diagnosis in South Carolina. The associations of HIV-related factors and traditional risk factors with the CVD incidence were investigated during the overall study period, and by different follow-up periods (i.e., 0-5yrs, 6-10yrs 11-15yrs) using multivariable logistic regression models. RESULTS: Among 9,082 eligible participants, the incidence of CVD was 18.64 cases per 1000 person-years. Overall, conventional risk factors, such as tobacco use, hypertension, obesity, chronic kidney disease (CKD), were persistently associated with the outcome across all three groups. While HIV-related factors, such as recent CD4 count (e.g., > 350 vs. <200 cells/mm3: adjusted odds ratio [aOR] range: 0.18-0.25), and percent of years in retention (e.g., 31-75% vs. 0-30%: aOR range: 0.24-0.57) were associated with lower odds of CVD incidence regardless of different follow up periods. The impact of the percent of days with viral suppression gradually diminished as the follow-up period increased. CONCLUSIONS: Maintaining an optimal viral suppression might prevent CVD incidence in the short term, whereas restoring immune recovery may be beneficial for reducing CVD risk regardless of the duration of HIV diagnosis. Our findings suggest the necessity of conducting more targeted interventions during different periods of HIV infection.

Sexual orientation, gender identity and virologic failure among people with HIV: a cohort study in all of US research program.

BACKGROUND: Sexual and gender minorities (SGMs) are at higher risk of HIV incidence compared to their heterosexual cisgender counterparts. Despite the high HIV disease burden among SGMs, there was limited data on whether they are at higher risk of virologic failure, which may lead to potential disease progression and increased transmission risk. The All of Us (AoU) Research Program, a national community-engaged program aiming to improve health and facilitate health equity in the United States by partnering with one million participants, provides a promising resource for identifying a diverse and large volunteer TGD cohort. Leveraging various data sources available through AoU, the current study aims to explore the association between sexual orientation and gender identity (SOGI) and longitudinal virologic failure among adult people with HIV (PWH) in the US. METHODS: This retrospective cohort study used integrated electronic health records (EHR) and self-reported survey data from the All of Us (AoU) controlled tier data, version 7, which includes participants enrolled in the AoU research program from May 31, 2017, to July 1, 2022. Based on participants' sexual orientation, gender identity, and sex assigned at birth, their SOGI were categorized into six groups, including cisgender heterosexual women, cisgender heterosexual men, cisgender sexual minority women, cisgender sexual minority men, gender minority people assigned female at birth of any sexual orientation, and gender minority people assigned male at birth of any sexual orientation. Yearly virologic failure was defined yearly after one's first viral load testing, and individuals with at least one viral load test > 50 copies/mL during a year were defined as having virologic failure at that year. Generalized linear mixed-effects models were used to explore the association between SOGI and longitudinal virologic failure while adjusting for potential confounders, including age, race, ethnicity, education attainment, income, and insurance type. RESULTS: A total of 1,546 eligible PWH were extracted from the AoU database, among whom 1,196 (77.36%) had at least one viral failure and 773 (50.00%) belonged to SGMs. Compared to cisgender heterosexual women, cisgender sexual minority women (adjusted Odds Ratio [aOR] = 1.85, 95% CI: 1.05-3.27) were at higher risk of HIV virologic failure. Additionally, PWH who were Black vs. White (aOR = 2.15, 95% CI: 1.52-3.04) and whose insurance type was Medicaid vs. Private insurance (aOR = 2.07, 95% CI: 1.33-3.21) were more likely to experience virologic failure. CONCLUSIONS: Maintaining frequent viral load monitoring among sexual minority women with HIV is warranted because it allows early detection of virologic failure, which could provide opportunities for interventions to strengthen treatment adherence and prevent HIV transmission. To understand the specific needs of subgroups of SGMs, future research needs to examine the mechanisms for SOGI-based disparities in virologic failure and the combined effects of multi-level psychosocial and health behavior characteristics.

Disparities in Telehealth Use in HIV Care During the COVID-19 Pandemic: Study Findings from South Carolina.

Background: Telehealth was adopted to maintain HIV care continuity during the COVID-19 pandemic; however, its use was unequally distributed. This study examined variation in HIV care visit patterns and whether telehealth use was associated with viral suppression. Methods: Electronic health record (EHR) data from a large HIV clinic in South Carolina was analyzed using multivariable logistic regression to characterize variation in telehealth use, having a viral load (VL) test, and viral suppression in 2022. Results: EHR data from 2,375 people living with HIV (PWH) between March 2021 and March 2023 showed telehealth use among 4.8% of PWH. PWH who are 50+ years and non-Hispanic Black had lower odds of telehealth use (odds ratio [OR] 0.59, 95% confidence interval [CI 0.40-0.86]; OR 0.58, 95% CI [0.37-0.92] respectively). Telehealth use was not associated with viral suppression and VL testing. Conclusion: Telehealth disparities in HIV care affected older and non-Hispanic Black PWH, requiring tailored strategies to promote telehealth among them.

Impact of enacted stigma on mental health, substance use, and HIV-related behaviors among sexual minority men in Zambia.

Sexual minority men (SMM) in Zambia face significant challenges including stigma, discrimination, and mental health issues, which further impact their HIV-related risk behaviors. This study aimed to investigate the associations between enacted stigma, substance abuse, HIV-related behaviors, and mental health (i.e., depression, anxiety, and post-traumatic stress disorder [PTSD] symptoms) among SMM in Zambia. SMM aged 18-35 years who reported having multiple and/or concurrent sexual partners or low and/or inconsistent condom use in the past three months were recruited from four districts in Zambia between February and November 2021. Participants completed an anonymous interviewer-administered survey. Key variables of interest were compared between participants with higher vs. lower levels of enacted stigma. Independent samples t-tests were used for continuous variables, and chi-squared tests were used for categorical variables. A total of 197 eligible SMM participated in the study (mean age = 24.41 years). Participants with a higher level of enacted stigma showed a higher level of anxiety symptoms (χ2 = 12.91, p ≤ .001), PTSD symptoms (χ2 = 7.13, p < .01), tobacco use (χ2 = 10.47, p < .01), cannabis use (χ2 = 5.90, p < .05), and a higher number of sexual partners (t = 1.99, p < .05) in the past three months. Stigma reduction interventions may help mitigate substance abuse, HIV-related behaviors, and adverse mental health outcomes among SMM in Zambia. Health care providers, especially psychiatric-mental health nurses, can incorporate strategies for recognizing and addressing stigma into their practice through training and integrate multiple resources to create an inclusive and non-judgmental environment for SMM to improve their well-being.

The Impacts of HIV-Related Service Interruptions During the COVID-19 Pandemic: Protocol of a Mixed Methodology Longitudinal Study.

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. It is critical to comprehensively understand how the pandemic has affected the delivery and utilization of HIV-related services and what are the effective strategies that may mitigate the negative impacts of COVID-19 and resultant interruptions. The current study thus aims to comprehensively investigate HIV service interruptions during the pandemic following a socioecological model, to assess their impacts on various outcomes of the HIV prevention and treatment cascade and to identify resilience resources for buffering impacts of interruptions on HIV treatment cascade outcomes. We will assess HIV service interruptions in South Carolina (SC) since 2020 using operational report data from Ryan White HIV clinics and HIV service utilization data (including telehealth use) based on statewide electronic health records (EHR) and cellphone-based place visitation data. We will further explore how HIV service interruptions affect HIV prevention and treatment cascade outcomes at appropriate geospatial units based on the integration of multi-type, multi-source datasets (e.g., EHR, geospatial data). 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 (i.e., EHR data, geospatial data, online survey data) and qualitative (i.e., in-depth interviews with clinic leaders, healthcare providers, people living with HIV, and HIV clinic operational reports) data regarding health system 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 multilevel 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 in developing resilient healthcare systems and communities and advancing epidemic preparedness.

Facilitators of Organizational Resilience Within South Carolina AIDS Service Organizations: Lessons Learned from the COVID-19 Pandemic.

HIV care services have been interrupted by the COVID-19 pandemic in many states in the U.S. including South Carolina (SC). However, many HIV care facilities demonstrated organizational resilience (i.e., the ability to maintain needed health services amid rapidly changing circumstances) by addressing challenges to maintaining care during the pandemic. This study, therefore, aims to identify key facilitators for organizational resilience among AIDS Services Organizations (ASOs) in SC. In-depth interviews were conducted among 11 leaders, from 8 ASOs, across SC during the summer of 2020. The interviews were recorded after receiving proper consent and then transcribed. Utilizing a codebook based upon the interview guide, a thematic analysis approach was utilized to analyze the data. All data management and analysis were conducted in NVivo 11.0. Our findings demonstrate several facilitators of organizational resilience, including (1) accurate and timely crisis information dissemination; (2) clear and preemptive protocols; (3) effective healthcare system policies, management, and leadership; (4) prioritization of staff psychological wellbeing; (5) stable access to personal protective equipment (PPE); (6) adequate and flexible funding; and (7) infrastructure that supports telehealth. Given the facilitators of organizational resilience among ASOs in SC during the COVID-19 pandemic, it is recommended that organizations implement and maintain coordinated and informed responses based upon preemptive protocols and emerging needs. ASO funders are encouraged to allow a flexibility in spending. The lessons learned from the participating leaders enable ASOs to develop and strengthen their organizational resilience and experience fewer disruptions in the future.

Impact of HIV on COVID-19 Outcomes: A Propensity Score Matching Analysis with Varying Age Differences.

To exploratorily test (1) the impact of HIV and aging process among PLWH on COVID-19 outcomes; and (2) whether the effects of HIV on COVID-19 outcomes differed by immunity level. The data used in this study was retrieved from the COVID-19 positive cohort in National COVID Cohort Collaborative (N3C). Multivariable logistic regression models were conducted on populations that were matched using either exact matching or propensity score matching (PSM) with varying age difference between PLWH and non-PLWH to examine the impact of HIV and aging process on all-cause mortality and hospitalization among COVID-19 patients. Subgroup analyses by CD4 counts and viral load (VL) levels were conducted using similar approaches. Among the 2,422,864 adults with a COVID-19 diagnosis, 15,188 were PLWH. PLWH had a significantly higher odds of death compared to non-PLWH until age difference reached 6 years or more, while PLWH were still at an elevated risk of hospitalization across all matched cohorts. The odds of both severe outcomes were persistently higher among PLWH with CD4 < 200 cells/mm3. VL ≥ 200 copies/ml was only associated with higher hospitalization, regardless of the predefined age differences. Age advancement in HIV might significantly contribute to the higher risk of COVID-19 mortality and HIV infection may still impact COVID-19 hospitalization independent of the age advancement in HIV.

COVID-19 Testing Among People with HIV: A Population Level Analysis Based on Statewide Data in South Carolina.

People with HIV (PWH) are at an elevated risk of developing severe COVID-19 outcomes because of compromised immunity and more comorbidities. However, existing literature suggests a lower rate of COVID-testing among PWH. This study aimed to explore the temporal trend of county-level COVID-19 testing rate and multi-level predictors of COVID-19 ever-testing among PWH in South Carolina (SC). Leveraging linked statewide HIV and COVID-19 datasets, we defined the study population as all adult (18 + years) PWH who were alive on March 2020 and living in SC. PWH with a COVID-19 testing record between March 2020 and October 2021 were defined as COVID-19 ever-testers. Logistic regression and generalized mixed models were used to investigate the association of PWH's demographic profile, HIV clinical characteristics (e.g., CD4 count, viral load), comorbidities, and social factors with COVID-19 testing among PWH. Among 15,660 adult PWH, 8,005 (51.12%) had ever tested for COVID-19 during the study period (March 2020-October 2021). PWH with older age, being male, and Hispanics were less likely to take COVID-19 testing, while men who have sex with men or injection drug users were more likely to take COVID-19 testing. PWH with higher recent viral load (10,000-100,000 copies/ml vs. <200 copies/ml: adjusted odds ratio [AOR]: 0.64, 95%CI: 0.55-0.75) and lower CD4 counts (> 350 cells/mm3 vs. <200 cells/mm3: AOR: 1.25, 95%CI: 1.09-1.45) had lower odds for COVID-19 testing. Additionally, PWH with lower comorbidity burden and those living in rural areas were less likely to be tested for COVID-19. Differences in COVID-19 test-seeking behaviors were observed among PWH in the current study, which could help provide empirical evidence to inform the prioritization of further disease monitoring and targeted intervention. More efforts on building effective surveillance and screening systems are needed to allow early case detection and curbing disease transmission among older, male, Hispanic, and immune-suppressed PWH, especially in rural areas.

Prevalence and trend of AIDS-defining cancers and non-AIDS-defining cancers and their association with antiretroviral therapy among people living with HIV in South Carolina: a population-based cohort study.

ABSTRACTMonitoring cancer trends and risk is critical as cancer remains a growing problem in persons living with HIV (PLWH). Recent population-based data are limited regarding the cancer trends among PLWH. Our study examined the prevalence and trends in the rate of AIDS-defining cancers (ADC) and non-AIDS-defining cancers (NADC) and their risk factors in PLWH in South Carolina. Utilizing linked population-based HIV data (2005-2020), time-dependent proportional hazards model was used to identify associated risk predictors of developing cancer in PLWH. Among 11,238 PLWH, 250 individuals developed ADC and 454 developed NADC. The median time from HIV diagnosis to cancer diagnosis was 1.9 years for ADC and 3.8 years for NADC. Individuals who developed ADC or NADC were more likely to be older, male, use substances, have hepatitis infection, hypothyroidism, hypertension, and renal disease. Individuals with viral load >100,000 copies/ml were more likely to develop ADC while those with CD4 count >350 cells/mm3 were less likely to develop ADC or NADC. Our findings suggest that long-term viral suppression may contribute to risk reduction for cancer in PLWH. Early HIV diagnosis along with viral load suppression should be a part of ongoing cancer prevention efforts.

Understanding social risk factors of county-level disparities in COVID-19 tests per confirmed case in South Carolina using statewide electronic health records data.

BACKGROUND: COVID-19 testing is essential for pandemic control, and insufficient testing in areas with high disease burdens could magnify the risk of poor health outcomes. However, few area-based studies on COVID-19 testing disparities have considered the disease burden (e.g., confirmed cases). The current study aims to investigate socioeconomic drivers of geospatial disparities in COVID-19 testing relative to disease burden across 46 counties in South Carolina (SC) in the early (from April 1, 2020, to June 30, 2020) and later (from July 1, 2020, to September 30, 2021) phases of the pandemic. METHODS: Using SC statewide COVID-19 testing data, the COVID-19 testing coverage was measured by monthly COVID-19 tests per confirmed case (hereafter CTPC) in each county. We used modified Lorenz curves to describe the unequal geographic distribution of CTPC and generalized linear mixed-effects regression models to assess the association of county-level social risk factors with CTPC in two phases of the pandemic in SC. RESULTS: As of September 30, 2021, a total of 641,201 out of 2,941,227 tests were positive in SC. The Lorenz curve showed that county-level disparities in CTPC were less apparent in the later phase of the pandemic. Counties with a larger percentage of Black had lower CTPC during the early phase (ß = -0.94, 95%CI: -1.80, -0.08), while such associations reversed in the later phase (ß = 0.28, 95%CI: 0.01, 0.55). The association of some other social risk factors diminished as the pandemic evolved, such as food insecurity (ß: -1.19 and -0.42; p-value is < 0.05 for both). CONCLUSIONS: County-level disparities in CTPC and their predictors are dynamic across the pandemic. These results highlight the systematic inequalities in COVID-19 testing resources and accessibility, especially in the early stage of the pandemic. Counties with greater social vulnerability and those with fewer health care resources should be paid extra attention in the early and later phases, respectively. The current study provided empirical evidence for public health agencies to conduct more targeted community-based testing campaigns to enhance access to testing in future public health crises.

Population Mobility and Aging Accelerate the Transmission of Coronavirus Disease 2019 in the Deep South: A County-Level Longitudinal Analysis.

Population mobility and aging at local areas contributed to the geospatial disparities in the coronavirus disease 2019 (COVID-19) transmission among 418 counties in the Deep South. In predicting the incidence of COVID-19, a significant interaction was found between mobility and the proportion of older adults. Effective disease control measures should be tailored to vulnerable communities.

Studying patterns and predictors of HIV viral suppression using A Big Data approach: a research protocol.

BACKGROUND: Given the importance of viral suppression in ending the HIV epidemic in the US and elsewhere, an optimal predictive model of viral status can help clinicians identify those at risk of poor viral control and inform clinical improvements in HIV treatment and care. With an increasing availability of electronic health record (EHR) data and social environmental information, there is a unique opportunity to improve our understanding of the dynamic pattern of viral suppression. Using a statewide cohort of people living with HIV (PLWH) in South Carolina (SC), the overall goal of the proposed research is to examine the dynamic patterns of viral suppression, develop optimal predictive models of various viral suppression indicators, and translate the models to a beta version of service-ready tools for clinical decision support. METHODS: The PLWH cohort will be identified through the SC Enhanced HIV/AIDS Reporting System (eHARS). The SC Office of Revenue and Fiscal Affairs (RFA) will extract longitudinal EHR clinical data of all PLWH in SC from multiple health systems, obtain data from other state agencies, and link the patient-level data with county-level data from multiple publicly available data sources. Using the deidentified data, the proposed study will consist of three operational phases: Phase 1: "Pattern Analysis" to identify the longitudinal dynamics of viral suppression using multiple viral load indicators; Phase 2: "Model Development" to determine the critical predictors of multiple viral load indicators through artificial intelligence (AI)-based modeling accounting for multilevel factors; and Phase 3: "Translational Research" to develop a multifactorial clinical decision system based on a risk prediction model to assist with the identification of the risk of viral failure or viral rebound when patients present at clinical visits. DISCUSSION: With both extensive data integration and data analytics, the proposed research will: (1) improve the understanding of the complex inter-related effects of longitudinal trajectories of HIV viral suppressions and HIV treatment history while taking into consideration multilevel factors; and (2) develop empirical public health approaches to achieve ending the HIV epidemic through translating the risk prediction model to a multifactorial decision system that enables the feasibility of AI-assisted clinical decisions.

Intervention program needs for older adults living with HIV who are childhood sexual abuse survivors.

OBJECTIVES: Childhood sexual abuse (CSA) prevalence estimates range from 8-11% among older adults and may range from 16 to 22% among older adults living with HIV (OALH). CSA experiences can still impact the quality of life of older adults. To the best of our knowledge, however, there are no CSA-focused interventions tailored for OALH. Using a qualitative approach, this study characterized the desired components of a trauma-focused intervention for OALH who are CSA survivors. METHODS: Twenty-four (24) adults aged 50 years of age or older who were living with HIV and had experienced CSA were recruited from a large HIV immunology center in South Carolina. Participants completed in-depth, qualitative, semi-structured interviews. We iteratively examined verbatim transcripts using thematic analysis. RESULTS: Three main themes emerged: program format and modality, program content, and program coordinator. Most participants expressed a desire for a trauma-focused intervention program in which the CSA experience was addressed and they could talk to someone either individually, as a group, and/or both. CONCLUSION: A trauma-focused intervention addressing CSA may be helpful for OALH who are CSA survivors. Future research should focus on designing and implementing age-appropriate interventions addressing the CSA experience, increasing resilience, and developing adaptive coping skills.

Telehealth for HIV Care Services in South Carolina: Utilization, Barriers, and Promotion Strategies During the COVID-19 Pandemic.

To ensure continuing HIV care services during the COVID-19 pandemic, telehealth has been recommended and implemented in numerous HIV-related facilities. This study aims to understand telehealth utilization for HIV care services in South Carolina (SC), identify barriers to telehealth during COVID-19, and investigate strategies to facilitate remote HIV care delivery. In-depth interviews with 11 management personnel from 8 HIV-related facilities in SC were analyzed using thematic analysis. Utilizations of telehealth were diverse in delivering medical and non-medical HIV care services. Barriers included technological challenges, digital literacy, client/provider experiences, low socio-economic status of client population, and reimbursement issues. Various strategies were mentioned for promoting telehealth utilization, from client empowerment, provider training to improved organizational readiness. For successful telehealth use during and after COVID-19, it is necessary to continue efforts to promote telehealth and remove barriers to telehealth by implementing inclusive multi-level strategies for non-technologically savvy or disadvantaged populations living with HIV.

Disparity in HIV Service Interruption in the Outbreak of COVID-19 in South Carolina.

To examine HIV service interruptions during the COIVD-19 outbreak in South Carolina (SC) and identify geospatial and socioeconomic correlates of such interruptions, we collected qualitative, geospatial, and quantitative data from 27 Ryan White HIV clinics in SC in March, 2020. HIV service interruptions were categorized (none, minimal, partial, and complete interruption) and analyzed for geospatial heterogeneity. Nearly 56% of the HIV clinics were partially interrupted and 26% were completely closed. Geospatial heterogeneity of service interruption existed but did not exactly overlap with the geospatial pattern of COVID-19 outbreak. The percentage of uninsured in the service catchment areas was significantly correlated with HIV service interruption (F = 3.987, P = .02). This mixed-method study demonstrated the disparity of HIV service interruptions in the COVID-19 in SC and suggested a contribution of existing socioeconomic gaps to this disparity. These findings may inform the resources allocation and future strategies to respond to public health emergencies.

Perceptions of functional wellness in women living with HIV in South Carolina, United States: Voices from both patients and providers.

Functional wellness refers to optimal functioning across multiple domains of health and wellbeing (e.g., physical, psychological, social, spiritual), and posits that wellness goes beyond traditional physical/biological health outcomes to include behavioral and social dimensions of health. Its application could contribute to developing integrated care and improving self-management for HIV patients including women living with HIV (WLH). In order to explore the perceptions of functional wellness from the perspectives of both healthcare providers (HCPs) and WLH, we conducted in-depth interviews among a purposive sample of 20 WLH and 10 HCPs in South Carolina. Most of the WLH were African American, older, living in urban setting and diagnosed over five years ago. The HCPs were dominantly female and represented different types of healthcare providers. Qualitative analysis was guided by the ground theory and conducted using the software NVivo 11. The WLH and HCPs had some common perceptions on wellness. To achieve functional wellness, WLH should be living and functioning in their daily life, be able to take care of themselves and develop resilience, be engaged in social activities, and prevent themselves from comorbidities (e.g., chronic disease, mental health issues) by receiving holistic service in response to the needs of womanhood.