Evidence map›Paper›PMID 38054535›Full record

Trial reportJournal of the International AIDS Society2023

A community-based dynamic choice model for HIV prevention improves PrEP and PEP coverage in rural Uganda and Kenya: a cluster randomized trial.

Elijah R Kakande, James Ayieko, Helen Sunday, Edith Biira, Marilyn Nyabuti, George Agengo, Jane Kabami, Colette Aoko, Hellen N Atuhaire, Norton Sang and 12 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the International AIDS Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04810650 (A Multisectoral Strategy to Address Persistent Drivers of the HIV Epidemic in East Africa), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04810650 nacompletednot on this map

A Multisectoral Strategy to Address Persistent Drivers of the HIV Epidemic in East Africa

TypeinterventionalSponsorUniversity of California, San FranciscoRan2021 to 2023Enrolled2,233ConditionsHIV, Hypertension, Alcohol Drinking, Maternal Child HealthArmsMobility Dynamic Treatment Intervention, Health Living Intervention for Heavy Alcohol Users, Hypertension Linkage, PrEP/PEP at Outpatient Clinics, PrEP/PEP at Antenatal Clinics
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 7 institutions in 3 countries.

Elijah R KakandeInfectious Diseases Research Collaboration, Kampala, Uganda.ORCID 0000-0001-9532-5710
James AyiekoKenya Medical Research Institute, Nairobi, Kenya.ORCID 0000-0002-0324-4006
Helen SundayInfectious Diseases Research Collaboration, Kampala, Uganda.
Edith BiiraInfectious Diseases Research Collaboration, Kampala, Uganda.
Marilyn NyabutiKenya Medical Research Institute, Nairobi, Kenya.
George AgengoKenya Medical Research Institute, Nairobi, Kenya.
Jane KabamiInfectious Diseases Research Collaboration, Kampala, Uganda.
Colette AokoKenya Medical Research Institute, Nairobi, Kenya.
Hellen N AtuhaireInfectious Diseases Research Collaboration, Kampala, Uganda.
Norton SangKenya Medical Research Institute, Nairobi, Kenya.
Asiphas OwaranganiseInfectious Diseases Research Collaboration, Kampala, Uganda.
Janice LitunyaKenya Medical Research Institute, Nairobi, Kenya.
Erick W MugomaGlobal Programs for Research & Training, Nairobi, Kenya.
Gabriel ChamieDivision of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-5860-8081
James PengDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
John SchromDivision of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, California, USA.
Melanie C BaconDepartment of Health and Human Services, National Institute of Health, Bethesda, Maryland, USA.
Moses R KamyaInfectious Diseases Research Collaboration, Kampala, Uganda.
Diane V HavlirDivision of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-0761-3136
Maya L PetersenDivision of Biostatistics, University of California Berkeley, Berkeley, California, USA.
Laura B BalzerDivision of Biostatistics, University of California Berkeley, Berkeley, California, USA.
SEARCH Study Team
Infectious Diseases Research Collaboration · UGKenya Medical Research Institute · KEUniversity of California, San Francisco · USUniversity of California, Berkeley · USDepartment of Health and Human Services · USMultimedia University of Kenya · KEUniversity of Washington · US

Funding

A Multisectoral Strategy to Address Persistent Drivers of the HIV Epidemic in East AfricaU01AI150510 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAVLIR, DIANE V, KAMYA, MOSES ROBERT · 2020 to 2025
$23.4M
NHLBI NIH HHS U01AI150510NIAID NIH HHS U01 AI150510NIMH NIH HHS U01AI150510
6 · The paper itself

Abstract

introductionOptimizing HIV prevention may require structured approaches for providing client-centred choices as well as community-based entry points and delivery. We evaluated the effect of a dynamic choice model for HIV prevention, delivered by community health workers (CHWs) with clinician support, on the use of biomedical prevention among persons at risk of HIV in rural East Africa.

methodsWe conducted a cluster randomized trial among persons (≥15 years) with current or anticipated HIV risk in 16 villages in Uganda and Kenya (SEARCH; NCT04810650). The intervention was a client-centred HIV prevention model, including (1) structured client choice of product (pre-exposure prophylaxis [PrEP] or post-exposure prophylaxis [PEP]), service location (clinic or out-of-clinic) and HIV testing modality (self-test or rapid test), with the ability to switch over time; (2) a structured assessment of patient barriers and development of a personalized support plan; and (3) phone access to a clinician 24/7. The intervention was delivered by CHWs and supported by clinicians who oversaw PrEP and PEP initiation and monitoring. Participants in control villages were referred to local health facilities for HIV prevention services, delivered by Ministry of Health staff. The primary outcome was biomedical prevention coverage: a proportion of 48-week follow-up with self-reported PrEP or PEP use.

resultsFrom May to July 2021, we enrolled 429 people (212 intervention; 217 control): 57% women and 35% aged 15-24 years. Among intervention participants, 58% chose PrEP and 58% chose PEP at least once over follow-up; self-testing increased from 52% (baseline) to 71% (week 48); ≥98% chose out-of-facility service delivery. Among 413 (96%) participants with the primary outcome ascertained, average biomedical prevention coverage was 28.0% in the intervention versus 0.5% in the control: a difference of 27.5% (95% CI: 23.0-31.9%, p<0.001). Impact was larger during periods of self-reported HIV risk: 36.6% coverage in intervention versus 0.9% in control, a difference of 35.7% (95% CI: 27.5-43.9, p<0.001). Intervention effects were seen across subgroups defined by sex, age group and alcohol use.

conclusionsA client-centred dynamic choice HIV prevention intervention, including the option to switch between products and CHW-based delivery in the community, increased biomedical prevention coverage by 27.5%. However, substantial person-time at risk of HIV remained uncovered.

Indexed as

Anti-HIV AgentsHIV InfectionsPre-Exposure ProphylaxisFemaleHIV TestingHumansKenyaMaleSelf-TestingUgandaAnti-HIV Agentsclient-centredcommunity health workerdynamic choicepost-exposure prophylaxispre-exposure prophylaxisvillage health team

Identifiers

PMID38054535
PMCPMC10698808
OpenAlexW4389373159

What Socratic holds

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LicenceCC BY
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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 Socratic graph.