The association between HIV diagnosis disclosure and adherence to anti-retroviral therapy among adolescents living with HIV in Sub-Saharan Africa: A systematic review and meta-analysis.

INTRODUCTION: Nine in ten of the world's 1.74 million adolescents living with human immunodeficiency virus (ALHIV) live in Sub-Saharan Africa. Suboptimal adherence to antiretroviral therapy (ART) and poor viral suppression are important problems among adolescents. To guide intervention efforts in this regard, this review presented pooled estimates on the prevalence of adherence and how it is affected by disclosure of HIV status among ALHIV in Sub-Saharan Africa. METHODS: A comprehensive search in major databases (Excerpta Medica database (EMBASE), PubMed, Ovid/MEDLINE, HINARI, and Google Scholar) with additional hand searches for grey literature was conducted to locate observational epidemiologic studies published in English up to November 12, 2022 with the following inclusion criteria: primary studies that reported disclosure of HIV status as an exposure variable, had positive adherence to ART as an outcome, and conducted among adolescents and children. The COVIDENCE software was used for a title/abstract screening, full-text screening, the JBI quality assessment checklist, and data extraction. Random effects model was used to pool estimates. Furthermore, sensitivity analysis and subgroup analysis were also conducted by age groups and type of adherence measures used. RESULTS: This meta-analysis combines the effect estimates from 12 primary studies with 4422 participants. The prevalence of good adherence to ART was 73% (95% CI (confidence interval): 56 to 87; I2 = 98.63%, P = <0.001), and it was higher among adolescents who were aware of their HIV status, 77% (95% CI: 56 to 92; I2 = 98.34%, P = <0.001). Overall, knowledge of HIV status was associated with increased odds of adherence (odds ratio (OR) = 1.88, 95% CI: 1.21 to 2.94; I2 = 79.8%, P = <0.001). This was further supported in a subgroup analysis by age (seven studies, pooled OR = 1.89, 95% CI: 1.06 to 3.37; I2 = 81.3%, P = <0.0001) and whether primary studies controlled for confounding factors (six studies provided adjusted estimates, pooled OR = 2.61, 95% CI: 1.22 to 5.57; I2 = 88.1%, P = <0.001) confirmed this further. CONCLUSIONS: Our meta-analysis and systematic review revealed that knowledge of one's HIV status was associated with adherence to ART, particularly among adolescents. The findings underscored the importance of encouraging disclosure in order to enhance adherence among adolescents.

Evaluating the equity impact and cost-effectiveness of digital adherence technologies with differentiated care to support tuberculosis treatment adherence in Ethiopia: protocol and analysis plan for the health economics component of a cluster randomised trial.

BACKGROUND: Tuberculosis remains a leading infectious cause of death in resource-limited settings. Effective treatment is the cornerstone of tuberculosis control, reducing mortality, recurrence and transmission. Supporting treatment adherence through facility-based observations of medication taking can be costly to providers and patients. Digital adherence technologies (DATs) may facilitate treatment monitoring and differentiated care. The ASCENT-Ethiopia study is a three-arm cluster randomised trial assessing two DATs with differentiated care for supporting tuberculosis treatment adherence in Ethiopia. This study is part of the ASCENT consortium, assessing DATs in South Africa, the Philippines, Ukraine, Tanzania and Ethiopia. The aim of this study is to determine the costs, cost-effectiveness and equity impact of implementing DATs in Ethiopia. METHODS AND DESIGN: A total of 78 health facilities have been randomised (1:1:1) into one of two intervention arms or a standard-of-care arm. Approximately 50 participants from each health facility will be enrolled on the trial. Participants in facilities randomised to the intervention arms are offered a DAT linked to the ASCENT adherence platform for daily adherence monitoring and differentiated response for those who have missed doses. Participants at standard-of-care facilities receive routine care. Treatment outcomes and resource utilisation will be measured for each participant. The primary effectiveness outcome is a composite index of unfavourable end-of-treatment outcomes (lost to follow-up, death or treatment failure) or treatment recurrence within 6 months of end-of-treatment. For the cost-effectiveness analysis, end-of-treatment outcomes will be used to estimate disability-adjusted life years (DALYs) averted. Provider and patient cost data will be collected from a subsample of 5 health facilities per study arm, 10 participants per facility (n = 150). We will conduct a societal cost-effectiveness analysis using Bayesian hierarchical models that account for the individual-level correlation between costs and outcomes as well as intra-cluster correlation. An equity impact analysis will be conducted to summarise equity efficiency trade-offs. DISCUSSION: Trial enrolment is ongoing. This paper follows the published trial protocol and describes the protocol and analysis plan for the health economics work package of the ASCENT-Ethiopia trial. This analysis will generate economic evidence to inform the implementation of DATs in Ethiopia and globally. TRIAL REGISTRATION: Pan African Clinical Trial Registry (PACTR) PACTR202008776694999. Registered on 11 August 2020,  https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=12241 .

Predictors of loss to follow-up among adult tuberculosis patients in Southern Ethiopia: a retrospective follow-up study.

BACKGROUND: Loss to follow-up (LTFU) from tuberculosis (TB) treatment and care is a major public health problem as patients can be infectious and also may develop a multi-drug resistant TB (MDR-TB). The study aimed to assess whether LTFU differs by the distance TB patients travelled to receive care from the nearest health facility. METHODS: A total of 402 patient cards of TB patients who received care were reviewed from March 1-30, 2020. The Kaplan-Meir curve with the Log-rank test was used to compare differences in LTFU by the distance travelled to reach to the nearest health facility for TB care. The Cox proportional hazard regression model was used to identify predictors. All statistical tests are declared significant at a p-value< 0.05. RESULTS: A total of 37 patients were LTFU with the incidence rate of 11.26 per 1000 person-months of observations (PMOs) (95% CI: 8.15-15.53). The incidence rate ratio was 12.19 (95% CI: 5.01-35.73) among the groups compared (those who travelled 10 km or more versus those who travelled less than 10 km). Age ≥ 45 years (aHR = 7.71, 95% CI: 1.72, 34.50), educational status (primary schooling, aHR = 3.54, 95% CI: 1.49, 8.40; secondary schooling, aHR = 2.75, 95% CI: 1.08, 7.03), lack of family support (aHR = 2.80, 95% CI: 1.27, 6.19), nutritional support (aHR = 3.40, 95% CI:1.68, 6.89), ≥ 10 km distance to travel to a health facility (aHR = 6.06, 95% CI: 2.33, 15.81) had significantly predicted LTFU from TB treatment and care. CONCLUSIONS: LTFU from adult TB care and treatment was 12 times higher among those who travelled ≥10 km to reach a health facility compared to those who travelled less. To retain adult TB patients in care and ensure appropriate treatment, health professionals and other stakeholders should give due attention to the factors that drive LTFU. We suggest identifying concerns of older patients at admission and those who travel long distance and establish social support platforms that could help people to complete TB treatment.