ArticleBMJ global health2021
Costs of integrating HIV self-testing in public health facilities in Malawi, South Africa, Zambia and Zimbabwe.
Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- How much does HIV self-testing cost in low and middle income countries? A systematic review of evidence from economic studies.Frontiers in public health · 2023Pooled it
- Provider costs of professional COVID-19 rapid antigen testing in low-income settings.PLOS global public health · 2025Article
- Evaluating the effectiveness of oral HIV self testing according to distribution models in Cameroon.Scientific reports · 2024Article
- Cost and Cost-Effectiveness of Distributing HIV Self-Tests within Assisted Partner Services in Western Kenya.Healthcare (Basel, Switzerland) · 2024Article
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- Impact and cost-effectiveness of SARS-CoV-2 self-testing strategies in schools: a multicountry modelling analysis.BMJ open · 2024Article
- Expanding HIV Self-Test Kits via Community Pharmacies in Rwanda Has Improved Availability, but Affordability Remains an Issue.Integrated pharmacy research & practice · 2024Article
- Economic Analysis of Low Volume Interventions Using Real-World Data: Costs of HIV Self-Testing Distribution and HIV Testing Services in West Africa From the ATLAS Project.Frontiers in health services · 2022Article
- The cost effectiveness and optimal configuration of HIV self-test distribution in South Africa: a model analysis.BMJ global health · 2021Article
- Modelling costs of community-based HIV self-testing programmes in Southern Africa at scale: an econometric cost function analysis across five countries.BMJ global health · 2021Article
Corrections and comments
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Authors and funding
19 authors at 11 institutions in 9 countries.
Funding
Abstract
introductionAs countries approach the UNAIDS 95-95-95 targets, there is a need for innovative and cost-saving HIV testing approaches that can increase testing coverage in hard-to-reach populations. The HIV Self-Testing Africa-Initiative distributed HIV self-test (HIVST) kits using unincentivised HIV testing counsellors across 31 public facilities in Malawi, South Africa, Zambia and Zimbabwe. HIVST was distributed either through secondary (partner's use) distribution alone or primary (own use) and secondary distribution approaches.
methodsWe evaluated the costs of adding HIVST to existing HIV testing from the providers' perspective in the 31 public health facilities across the four countries between 2018 and 2019. We combined expenditure analysis and bottom-up costing approaches. We also carried out time-and-motion studies on the counsellors to estimate the human resource costs of introducing and demonstrating how to use HIVST for primary and secondary use.
resultsA total of 41 720 kits were distributed during the analysis period, ranging from 1254 in Zimbabwe to 27 678 in Zambia. The cost per kit distributed through the primary distribution approach was $4.27 in Zambia and $9.24 in Zimbabwe. The cost per kit distributed through the secondary distribution approach ranged from $6.46 in Zambia to $13.42 in South Africa, with a wider variation in the average cost at facility-level. From the time-and-motion observations, the counsellors spent between 20% and 44% of the observed workday on HIVST. Overall, personnel and test kit costs were the main cost drivers.
conclusionThe average costs of distributing HIVST kits were comparable across the four countries in our analysis despite wide cost variability within countries. We recommend context-specific exploration of potential efficiency gains from these facility-level cost variations and demand creation activities to ensure continued affordability at scale.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.