AI Insight
A retrospective analysis of 27,288 HIV-positive patients in Nigeria found that facility-level characteristics independently predict treatment outcomes even after accounting for patient-level clinical factors. Patients at primary health centres had nearly twice the odds of poor outcomes compared to those at tertiary hospitals, and facilities funded by NGOs or federal sources showed approximately 25% higher odds of poor outcomes relative to other funding models. Nearly half of all patients experienced a diagnosis-to-ART initiation delay exceeding 90 days, with meaningful variation across facility types.
Why it matters
These findings suggest that structural and funding characteristics of HIV care facilities, not just patient biology, drive treatment failure, which has direct implications for how PEPFAR, the Global Fund, and Nigerian health authorities allocate quality improvement resources and oversight. Targeting lower-level and NGO-funded facilities with tailored interventions could meaningfully reduce treatment interruptions, poor adherence, and preventable mortality at scale.
⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
Objective: To identify facility-level characteristics – including care level, ownership type, and funding model – associated with poor HIV treatment outcomes, and quantify their independent contributions after adjustment for patient-level clinical factors. Design: Retrospective cross-sectional analysis using multivariable logistic regression with HC3 cluster-robust standard errors to account for facility-level clustering. Setting: HIV care facilities in the Nigerian national HIV programme, spanning primary health centres, secondary health facilities, and tertiary hospitals. Participants: 27,288 HIV-positive patients enrolled on ART, from a publicly available de-identified Quality of Care dataset. Main outcome measures: Composite poor outcome (poor ART adherence, treatment interruption, or mortality); individual outcomes including poor adherence rate, mortality, ART interruption, and diagnosis-to-ART delay exceeding 90 days. Results: Primary health centres had 15.4% composite poor outcome versus 10.2% at tertiary hospitals. After adjustment for patient age, sex, WHO stage, and CD4 count, primary health centre patients had 95% higher odds of poor outcome (OR=1.95; 95%CI 1.45-2.61; p<0.001). NGO-funded facilities had 24% higher odds (OR=1.24; 95%CI 1.10-1.39; p<0.001) and federally funded facilities 25% higher odds (OR=1.25; 95%CI 1.06-1.48; p=0.008). Female sex was independently protective (OR=0.87; 95%CI 0.79-0.96; p=0.003). Diagnosis-to-ART delays exceeded 90 days in 47.3% of patients, with significant variation by facility level (chi-squared=49.4, p<0.001). Conclusions: Facility level and funding model independently predict HIV treatment outcomes after patient-level adjustment. Primary health centres and NGO/federally funded facilities may require targeted quality improvement support. These findings have direct implications for PEPFAR, the Global Fund, and national HIV programme managers.