ArticlePloS one2023
Attrition from HIV treatment after enrollment in a differentiated service delivery model: A cohort analysis of routine care in Zambia.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- HIV diagnosis and treatment status in individuals dying from HIV in Zimbabwe, Malawi, and South Africa: A model comparison analysis.PLoS medicine · 2026Article
- Cost-Effectiveness of Differentiated Service Delivery for HIV Treatment: A Combined Mathematical Modeling Study of Four African Settings.Open forum infectious diseases · 2026Article
- Observational
- Cost and effectiveness of differentiated ART service delivery strategies in Zambia: a modelling analysis using routine data.Journal of the International AIDS Society · 2025Article
- Identifying gaps in the HIV treatment cascade in Africa: a model comparison study.The Lancet. Global health · 2025Article
- Effect of Differentiated Service Delivery Model on Retention to Care among People Living with HIV in Rwanda: A Retrospective Cohort Analysis.Rwanda journal of medicine and health sciences · 2025Article
- Integrated multi-month dispensing for HIV and hypertension in South Africa: A model of epidemiological impact and cost-effectiveness.Journal of the International AIDS Society · 2025Article
- Are HIV Treatment Clients Offered a Choice of Differentiated Service Delivery Models? Evidence from Malawi, South Africa, and Zambia.Patient preference and adherence · 2025Article
- Tracking People Living with HIV in Loss to Follow Up in Central Brazil: A Call for Attention to Health Services.AIDS and behavior · 2024Article
- An Open Letter on Advancing HIV prevention: Augmenting an ecosystem-based approach to understand prevention decision-making.Gates open research · 2024Article
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Authors and funding
11 authors.
Funding
Abstract
backgroundMany sub-Saharan Africa countries are scaling up differentiated service delivery (DSD) models for HIV treatment to increase access and remove barriers to care. We assessed factors associated with attrition after DSD model enrollment in Zambia, focusing on patient-level characteristics.
methodsWe conducted a retrospective record review using electronic medical records (EMR) of adults (≥15 years) initiated on antiretroviral (ART) between 01 January 2018 and 30 November 2021. Attrition was defined as lost to follow-up (LTFU) or died by November 30, 2021. We categorized DSD models into eight groups: fast-track, adherence groups, community pick-up points, home ART delivery, extended facility hours, facility multi-month dispensing (MMD, 4-6-month ART dispensing), frequent refill care (facility 1-2 month dispensing), and conventional care (facility 3 month dispensing, reference group). We used Fine and Gray competing risk regression to assess patient-level factors associated with attrition, stratified by sex and rural/urban setting.
resultsOf 547,281 eligible patients, 68% (n = 372,409) enrolled in DSD models, most commonly facility MMD (n = 306,430, 82%), frequent refill care (n = 47,142, 13%), and fast track (n = 14,433, 4%), with <2% enrolled in the other DSD groups. Retention was higher in nearly all DSD models for all dispensing intervals, compared to the reference group, except fast track for the ≤2 month dispensing group. Retention benefits were greatest for patients in the extended clinic hours group and least for fast track dispensing.
conclusionAlthough retention in HIV treatment differed by DSD type, dispensing interval, and patient characteristics, nearly all DSD models out-performed conventional care. Understanding the factors that influence the retention of patients in DSD models could provide an important step towards improving DSD implementation.
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