Evaluating Antiretroviral Therapy Service Delivery Models Through Lot Quality Assurance Sampling in Central Uganda.

Background: This study evaluated the effectiveness and responsiveness of differentiated Human Immunodeficiency Virus (HIV)/Acquired Immuno-Deficiency Syndrome (AIDS) service delivery models (DSDMs) implemented to enhance antiretroviral therapy (ART) access and outcomes for patients while addressing Tuberculosis (TB)-HIV integration, focusing on four of the five DSDMs currently implemented in Uganda.

Methodology: A descriptive cross-sectional survey was conducted in eight districts of central Uganda using Lot Quality Assurance Sampling approach from 7th to 23rd March 2023. We randomly sampled 2668 patients who have been on ART for at least 1 year in a Facility-Based Individual Management (FBIM) model or in a non-FBIM DSDM for at least one year.

Assessing attitudes towards violence against women and girls, their determinants and health-seeking behaviour among women and men in South Sudan: a cross-sectional national survey.

Objective: Investigating attitudes accepting two categories of violence against women and girls (VAWG) (intimate partner violence-IPV-and other expressions of VAWG) and their association with seven demographic/social determinants and health-seeking behaviours in South Sudan.

Design: Cross-sectional study using data from the South Sudan National Household Survey 2020.

Setting: South Sudan.

Levels, trends and determinants of technical efficiency of general hospitals in Uganda: data envelopment analysis and Tobit regression analysis.

Background: General hospitals provide a wide range of primary and secondary healthcare services. They accounted for 38% of government funding to health facilities, 8.8% of outpatient department visits and 28% of admissions in Uganda in the financial year 2016/17.

Can local staff reliably assess their own programs? A confirmatory test-retest study of Lot Quality Assurance Sampling data collectors in Uganda.

Background: Data collection techniques that routinely provide health system information at the local level are in demand and needed. LQAS is intended for use by local health teams to collect data at the district and sub-district levels. Our question is whether local health staff produce biased results as they are responsible for implementing the programs they also assess.