Assessing the effect of COVida orphans and vulnerable children support services on viral load coverage and suppression among children and adolescents living with HIV in four provinces in Mozambique.

Orphans and vulnerable children (OVC) programs focusing on improving HIV outcomes for children and adolescents living with HIV (C&ALHIV) may improve viral load (VL) testing coverage, a critical step toward achieving VL suppression. In Mozambique, we conducted a retrospective medical record review comparing VL testing coverage and suppression between C&ALHIV receiving OVC support and two cohorts of non-participants constructed using propensity score matching. We collected data for 25,783 C&ALHIV in Inhambane, Maputo City, Nampula, and Tete between October 2020-September 2021. Unadjusted rates of VL testing were 62.9% among OVC participants compared with 39.2% and 50.4% of non-participants in OVC support and non-OVC support districts, respectively. In multivariate models, OVC participants were 18 and 10 percentage points more likely to have received a VL test than non-participants in OVC districts (p < 0.01) and non-OVC districts (p < 0.01), respectively. OVC participants under 5 years old were significantly more likely to have received a VL test than their same-age counterparts in both comparison groups. Overall, the OVC program did not demonstrate significant effects on VL suppression. This approach could be replicated in other contexts to improve testing coverage. It is crucial that clinical partners and governments continue to share data to enable timely monitoring through OVC programming.

Contextual determinants of mass drug administration performance: Modelling fourteen years of lymphatic filariasis treatments in West Africa.

BACKGROUND: Effective mass drug administration (MDA) is the cornerstone in the elimination of lymphatic filariasis (LF) and a critical component in combatting all neglected tropical diseases for which preventative chemotherapy is recommended (PC-NTDs). Despite its importance, MDA coverage, however defined, is rarely investigated systematically across time and geography. Most commonly, investigations into coverage react to unsatisfactory outcomes and tend to focus on a single year and health district. Such investigations omit more macro-level influences including sociological, environmental, and programmatic factors. The USAID NTD database contains measures of performance from thousands of district-level LF MDA campaigns across 14 years and 10 West African countries. Specifically, performance was measured as an MDA's epidemiological coverage, calculated as persons treated divided by persons at risk. This analysis aims to explain MDA coverage across time and geography in West Africa using sociological, environmental, and programmatic factors. METHODOLOGY: The analysis links epidemiological coverage data from 3,880 LF MDAs with contextual, non-NTD data via location (each MDA was specific to a health district) and time (MDA month, year). Contextual data included rainfall, temperature, violence or social unrest, COVID-19, the 2014 Ebola outbreak, road access/isolation, population density, observance of Ramadan, and the number of previously completed MDAs. PRINCIPAL FINDINGS: We fit a hierarchical linear regression model with coverage as the dependent variable and performed sensitivity analyses to confirm the selection of the explanatory factors. Above average rainfall, COVID-19, Ebola, violence and social unrest were all significantly associated with lower coverage. Years of prior experience in a district and above average temperature were significantly associated with higher coverage. CONCLUSIONS/SIGNIFICANCE: These generalized and context-focused findings supplement current literature on coverage dynamics and MDA performance. Findings may be used to quantify typically anecdotal considerations in MDA planning. The model and methodology are offered as a tool for further investigation.