Faculty Bibliography

OBJECTIVES:We examined the impact of a family-based economic empowerment intervention on viral suppression and mental health among ALHIV. STUDY DESIGN:Between 2013 and 2014, 702 participants aged 10-16, living with HIV, and taking antiretroviral therapy, were recruited from 39 clinics in Uganda. Twenty clinics (n = 358 participants) were randomized to the intervention and 19 clinics (n = 344 participants) were randomized to the control conditions. The intervention comprised a matched savings account, financial literacy training, and microenterprise workshops. The primary outcome was viral suppression, while the secondary outcomes included depression, hopelessness, and self-concept. We ran mixed-effects models to determine the intervention effects. RESULTS:(5) = 27·26, p < 0·001], suggesting beneficial intervention effect for this demographic. CONCLUSIONS:Family EE interventions have the potential to improve viral suppression and mental health outcomes among ALHIV. These findings offer insights in designing programs and policies to improve outcomes among ALHIV.

Although the prevalence of mental disorders is high among conflict-affected populations, the extent to which social determinants impact the mental health of conflict-affected youth living with HIV is not well studied. The goal of this study was to investigate how social determinants impact the mental health of refugee adolescents and youth living with HIV in Uganda (RAYLHIV). We analyzed baseline data from a two-year cluster randomized clinical trial (RCT) among RAYLHIV (ages 13-30). The participants were recruited between July and December 2023 from 20 health centers in three refugee settlements. To examine the association between selected social determinants of mental health (SDoMH) and the mental health outcomes, we fitted a separate mixed-effects linear regression model for each outcome including depression, hopelessness, and PTSD. HIV-related stigma (β = 0.04, 0.01-0.07; p = 0.012) and PTSD (β = 0.29, 0.16-0.43; p = < 0.001) were associated with increased depressive symptoms. Similarly, unemployment (β = 2.39, 0.65-4.13; p 0.007), HIV-related stigma (β = 0.20, 0.09-0.31; 0.001) and PTSD (β = 1.55, 0.84-2.26; p < 0.001) were associated with hopelessness. Good physical health (β = -0.53, -1.00-0.06; p = 0.028) and school enrollment (β = -0.94, -1.3-0.50; p < 0.001) were associated with lower PTSD symptoms. This study found that social determinants including school enrollment, double orphanhood, HIV-related stigma, poor physical health, and poverty related factors like unemployment are important predictors of poor mental health among RAYLHIV, underscoring the need for multilevel approaches to address these challenges.Trial registration: NCT01790373.

We investigated how COVID-19-related disruptions influenced antiretroviral therapy (ART) adherence among young adults living with HIV (YALHIV) in Southern Uganda, a region with limited resources and high rates of HIV. Data were analyzed from 499 YALHIV aged 19 to 25, participating in the Suubi+Adherence-R2 COVID-19 Supplement study. The study measured COVID-19 disruptions using an 8-item Coronavirus Impact Scale and evaluated ART adherence through self-reported measures. Our analytical framework was informed by the Health Belief Model and generalized estimating equations were estimated. We find no statistically significant association between COVID-19 disruptions, as quantified by the COVID-19 Impact Score, and sub-optimal ART adherence (OR = 0.99, 95% CI [0.87-1.14]). However, findings revealed that being employed (OR = 1.99, 95% CI [1.07-3.71]) and older age (OR = 1.18, 95% CI [1.02-1.37]) was associated with higher likelihood of poor adherence highlighting the complex interplay between economic activity, working schedules, and health management. Other notable predictors included marital status, with cohabiting individuals showing decreased odds of poor adherence (OR = 0.25, 95% CI [0.08-0.74]) compared to single and separated YALHIV. These insights emphasize the need for multifaceted intervention strategies that consider both individual and systemic factors affecting ART adherence. Tailored interventions must address the socioeconomic challenges intensified by the pandemic and leverage the inherent resilience within this population to enhance ART adherence outcomes for YALHIV in challenging environments. Trial Registration ClinicalTrials.gov, ID: NCT01790373.

OBJECTIVES/OBJECTIVE:Achieving optimal adherence to antiretroviral therapy (ART) and viral suppression is still insufficient for attaining the UNAIDS 95-95-95 target of 2030, especially among adolescents with HIV (AWHIV). This study sought to develop a model to predict poor adherence risk among AWHIV and identify associated risk factors. DESIGN/METHODS:We utilized machine learning to predict future ART adherence among AWHIV leveraging its ability to analyze complex, multidimensional data. METHODS:We leveraged a dataset from a 6-year (2012-2018) longitudinal randomized control trial (RCT) with 635 AWHIV in Uganda. We evaluated six machine learning models and retained one with the highest area under receiver operating characteristic (AUROC), and area under precision-recall curve (AUPRC). We further identified principal factors associated with ART adherence based on the best model. RESULTS:The random forest model outperformed others, with mean AUROC: 0.71 [BC 95% confidence interval (CI) (0.69-0.72)] and AUPRC: 0.55 (BC 95% CI 0.53-0.58). The principal risk factors of poor adherence were poor adherence history; poverty; biological relationship to caregiver; self-concept; savings confidence; duration on ART; frequency discussing sensitive topics with caregivers; household size; economic group assignment; and school enrollment. CONCLUSION/CONCLUSIONS:Our findings support potential use of machine learning methods and sociobehavioral data for predicting poor ART adherence risk among AWHIV. The predictive tool can help identify AWHIV at the highest risk of treatment failure, and enable early targeted interventions. However, the tool is still preliminary and its accuracy could be improved by incorporating HIV phenotypic and clinical data. CLINICAL TRIAL NUMBER/BACKGROUND:ClinicalTrials.gov ID:NCT01790373.

BACKGROUND:Women engaged in commercial sex work (WESW) are exposed to behavioral, biological, and structural factors that exacerbate their risk of HIV infection and other sexually transmitted infections. While commercial sex work may appear voluntary, WESW are more likely to be constrained to selling sex due to limited viable alternatives. To effectively support this vulnerable group of women, it is critical to understand factors that facilitate and impede their decisions to transition from sex work into other careers or jobs. The current study explored women's decision to transition from sex work into other careers or jobs. METHODS:Face-to-face semi-structured in-depth interviews were conducted with 53 WESW aged 20-47 enrolled within the larger Kyaterekera study, a randomized clinical trial (N = 542) implemented in 19 geographical hotspots in the Southern region of Uganda. Participants were selected based on their level of intervention attendance (high/medium/low attendance) during the 12-month follow-up (Time 2). The interviews were conducted in Luganda the widely spoken language in the study area to explore the factors influencing women's decisions to transition from sex work to other jobs or careers. The main interview question used for this study was, "What are some of the factors that may influence whether you would transition from sex work to other jobs or vocations?" All interviews were audio-recorded, transcribed verbatim, and translated into English. Thematic analysis in Dedoose software was used to analyze the data. RESULTS:Participants reported three primary types of decisions, including considering leaving sex work, deciding to leave, and staying in sex work. The emerging themes from the interviews were categorized into individual and structural level facilitators and barriers to transitioning out of sex work. Individual-level factors included issues of stigma, discrimination, and aging as factors that facilitated women's decision to leave sex work. At the interpersonal level, physical and sexual violence was noted as a reason to leave sex work. At the structural level, stigma and discrimination (from community members) were identified as facilitators to leaving sex work. Income-related factors were identified mainly as barriers to leaving sex work. CONCLUSION/CONCLUSIONS:Our study highlights the complex decision-making processes among WESW as they navigate transitions to alternative jobs or careers. By advocating for multifaceted interventions and policies tailored to the diverse challenges faced by WESW, our study contributes to a more informed approach to supporting their transition out of sex work.

Adolescents living with HIV (ALHIV) have low adherence to antiretroviral therapy (ART). Poverty and mental health challenges remain major drivers of this poor ART adherence. We explored the mediators of the impact of an economic empowerment intervention on ART adherence among ALHIV and assessed the moderating effects of depression. We randomized 39 clinics (702 participants) into the control or intervention groups. Participants were aged 10-16, living with HIV and taking ART. The intervention comprising matched savings account, financial literacy training, and microenterprise workshops. We fitted a sequential structural equation model to examine how the three mediators-HIV stigma, barriers to medical care, and healthcare transition readiness-influenced ART adherence at year seven. Depression was included as a moderator. At baseline, the mean age was 12 years, and only 73.0% achieved good adherence (≥ 90%). The intervention directly improved ART adherence, β = 0.060 (95% CI: 0.038, 0.081), p < 0.001. Also, there was a significant indirect effect of the intervention on ART adherence, mediated through barriers to medical care, β =  - 0.036 (95% CI: - 0.041, - 0.032), p < 0.001, and HIV stigma, β =  - 0.011 (- 0.016, - 0.007), p < 0.001. Depression reduced the effect of the intervention on ART adherence β =  - 0.114 (- 0.123, - 0.104), p < 0.001. Our results showed that providing ALHIV with financial resources improved their ART adherence; however, this was affected by depression. Therefore, programs aimed at improving outcomes in ALHIV should consider incorporating interventions that address mental health challenges in addition to poverty.

Under-five mortality remains a global health issue, especially in sub-Saharan Africa, where preventable conditions largely drive the high mortality rates. Understanding the heterogeneity in utilization of reproductive, maternal, newborn, and child health services is crucial for reducing under-five mortality. Here we show that among 9307 under-five mortality cases across 31 sub-Saharan African countries (2014-2024), maternal and child health service utilization falls into three distinct patterns-lowest, medium, and highest. Socioeconomic status strongly predicts subgroup membership: higher maternal education, employment, urban residence, and wealth are associated with lower odds of being in the lowest utilization group. Inequality indices further reveal disparities by education, wealth, residence, and employment. Our findings show a strong link between socioeconomic status and maternal and child health services utilization. To address under-five mortality in sub-Saharan Africa, targeted strategies are needed to improve access and uptake of essential health services among socioeconomically disadvantaged groups.

Adolescents and young adults with HIV (AYH) are at greater risk for mental health conditions. Provision of mental health services to AYH is limited by an overburdened and untrained workforce, and psychological interventions ill-adapted for adolescent HIV care. Brief, transdiagnostic psychological interventions delivered in the HIV clinics may address some of these challenges. We will evaluate the PRO-ACT intervention in a hybrid type 1 cluster randomized clinical trial (NCT06247527) in 30 HIV clinics in 3 counties in Kenya. PRO-ACT is a cognitive behavioral therapy with 5 modules: Psychoeducation, Relaxation, prOblem-solving, behavioral Activation and Cognitive coping, delivered to AYH by trained health providers without specialist mental health training in 4-6 sessions within 6 months. We performed stratified randomization with matching to balance for county and facility size to assign 5 intervention (PRO-ACT) and 5 control (standard of care) clinics in each of the 3 counties. Screening of AYH ages 16-24 years will be conducted using the 9-item patient health questionnaire (PHQ-9). Up to 300 AYH with psychological distress (PHQ-9 score>4) will be enrolled in each arm. Further assessments will include the 5-item ASK suicide screening questions (ASQ), 7-item Generalized Anxiety Disorder (GAD-7), 20-item Child and Adolescent Trauma Screen (CATS)/PTSD Checklist for DSM-5 (PCL-5), self-reported treatment adherence, and HIV viral loads. Follow-up assessments will be conducted at month 3, 6, 9 and 12. Mixed methods will be used to measure implementation outcomes, cost-effectiveness, and characterize determinants of implementation. Primary analysis of PRO-ACT effectiveness will be conducted at month 6 (near term treatment effect), and month 12 (treatment effect sustainability) comparing PHQ-9 mean scores between treatment and control groups. Secondary analyses will compare GAD-7, CATS/PCL-5, adherence and viral suppression between the groups. The study will inform integration efforts of holistic mental health services in HIV care.