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The aim of this study is to determine the benefits, costs and safety of community-led delivery of HIV self-testing (HIVST) kits in rural Malawi, with a focus on testing and linkage to care and prevention services among defined population sub-groups: men, adolescents aged 15-19 years old, and adults aged 40 years or older.
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RESEARCH QUESTION
Can community-led delivery of HIV self-tests be used to maximise public health and social benefits and reduce costs without introducing social harms?
RESEARCH AIMS AND OBJECTIVES
The broad aim is to determine the benefits, costs and safety of community-led delivery of HIVST kits in rural Malawi, with a focus on testing and linkage to care and prevention services among defined population sub-groups: men, adolescents aged 15-19 years old, and adults aged 40 years or older.
The specific objectives are to conduct a cluster randomised controlled trial to:
RESEARCH DESIGN
The main study consists of a cluster-randomised trial evaluating the effectiveness of community-led HIVST campaigns on coverage of HIV testing and linkage to follow-on services compared to the Ministry of Health (MoH) SOC, facility-based HIV testing services (HTS). We are also interested in understanding the cost-effectiveness of community-led HIVST campaigns, and broader social benefits on stigma reduction.
The unit of randomisation is the Group Village Head (GVH), who are traditionally-appointed leaders that oversee a group of villages, and their catchments areas. Outcomes are measured through (i) household surveys in evaluation villages selected for each study cluster, and (ii) clinic records of patients coming from the study clusters.
For the primary outcome, measured using the households surveys, we assume that lifetime testing rates for adolescents aged 15-19 years old in the SOC arm are 35-50%, based on the recent Demographic and Health Survey. With 16 clusters per arm and 50 adolescents per cluster, we will have at least 90% power to detect a 20% absolute increase in lifetime testing using a coefficient of variation of outcomes (k) of 0.25. If k=0.3, for a 20% increase in lifetime testing, we would have 90% and 80% power with SOC testing rates of 35-40% and 45-55%, respectively. If the absolute increase in lifetime testing is lower at 15%, then for k=0.25 we would have 80% power for SOC testing rates of 35-40%. With adolescents making up 20-25% of the adult population, this will require 250 adults per cluster.
SUB-STUDIES
We will also be conducting a series of sub-studies related to the trial, including:
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7,880 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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