Evidence map›Paper›PMID 39259239›Full record

Trial reportAIDS and behavior2025

Effect of a Male-Targeted Digital Decision Support Application Aimed at Increasing Linkage to HIV Care Among Men: Findings from the HITS Cluster Randomized Clinical Trial in Rural South Africa.

Hae-Young Kim, Maxime Inghels, Thulile Mathenjwa, Maryam Shahmanesh, Janet Seeley, Phillippa Matthews, Sally Wyke, Nuala McGrath, Oluwafemi Adeagbo, Dickman Gareta and 6 more

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in AIDS and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03757104 (Home-based Interventions to Test and Start), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

NCT03757104 naunknown statusnot on this map

Home-based Interventions to Test and Start (HITS): a Cluster-randomized Controlled Trial to Reduce Mortality and Incidence Through HIV Treatment

TypeinterventionalSponsorAfrica Health Research InstituteRan2018 to 2022Enrolled4,667ConditionsHIV, HIV Testing, Linkage to CareArmsmicro-incentive, EPIC-HIV, micro-incentive and EPIC-HIV
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Hae-Young KimNew York University Grossman School of Medicine, 227 East 30th Street, New York, NY, USA. hae-young.kim@nyulangone.org.ORCID http://orcid.org/0000-0002-5124-1555
Maxime InghelsLincoln Institute for Rural and Coastal Health, University of Lincoln, Lincoln, UK.
Thulile MathenjwaAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Maryam ShahmaneshAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Janet SeeleyAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Phillippa MatthewsAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Sally WykeUniversity of Glasgow, Glasgow, UK.
Nuala McGrathAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Oluwafemi AdeagboUniversity of Johannesburg, Johannesburg, South Africa.
Dickman GaretaAfrica Health Research Institute, KwaZulu-Natal, South Africa.
H Manisha YapaThe Kirby Institute, University of New South Wales Sydney, Sydney, Australia.
Thembelihle ZumaAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Adrian DobraUniversity of Washington, Washington, USA.
Ann BlandfordUniversity College London Interaction Centre, University College London, London, UK.
Till BärnighausenAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Frank TanserAfrica Health Research Institute, KwaZulu-Natal, South Africa.

Funding

Causal Pathways to population health impact of HIV antiretroviral treatmentR01HD084233 · NICHD · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2015 to 2021
$2.3M
Can HIV Hot-Spots be eradicated? An intervention to decrease HIV transmission to young women in rural KwaZulu-Natal South AfricaR01AI124389 · NIAID · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2016 to 2020
$2.1M
The changing face of HIV in the era of COVID-19: Maximising HIV incidence reduction through dynamic targeting of current and future distributions of acquisition risk.R01MH131480 · NIMH · STELLENBOSCH UNIVERSITY · PI Henry Godwell Mwambi, Frank Courteney Tanser · 2023 to 2026
$2.0M
Department of Science and Innovation, South Africa Department of Science and Innovation, South AfricaDivision of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases R01AI124389Engineering and Physical Sciences Research Council EP/K031953/1Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD084233Medical Research Council MRC MR/P024378/1National Institute for Health and Care Research RP-2017-08-ST2-008NIAID NIH HHS R01 AI124389NICHD NIH HHS R01 HD084233NIMH NIH HHS R01 MH131480NIMH NIH HHS R01MH131480Wellcome Trust 201433/A/16/A
6 · The paper itself

Abstract

Linkage to HIV care remains suboptimal among men. We investigated the effectiveness of a male-targeted HIV-specific decision support app, Empowering People through Informed Choices for HIV (EPIC-HIV), on increasing linkage to HIV care among men in rural South Africa. Home-Based Intervention to Test and Start (HITS) was a multi-component cluster-randomized controlled trial conducted among 45 communities in uMkhanyakude, KwaZulu-Natal. The development of EPIC-HIV was guided by self-determination theory and human-computer interaction design to increase intrinsic motivation to seek HIV testing and care among men. EPIC-HIV was offered in two stages: EPIC-HIV 1 at the time of home-based HIV counseling and testing (HBHCT), and EPIC-HIV 2 at 1 month after a positive HIV diagnosis if not linked to care. Sixteen communities were randomly assigned to the arms to receive EPIC-HIV, and 29 communities to the arms without EPIC-HIV. Among all eligible men, we compared linkage to care (initiation or resumption of antiretroviral therapy after > 3 months of care interruption) at local clinics within 1 year of a home visit, ascertained from individual clinical records. Intention-to-treat analysis was performed using modified Poisson regression with adjustment for receiving another intervention (i.e., financial incentives) and clustering at the community level. We also conducted a satisfaction survey for EPIC-HIV 2. A total of 13,894 men were eligible (i.e., aged ≥ 15 years and resident in the 45 communities). The mean age was 34.6 (±16.8) years, and 65% were married or in an informal union. Overall, 20.7% received HBHCT, resulting in 122 HIV-positive and 6 discordant tests. Among these, 54 men linked to care within 1 year after HBHCT. Additionally, of the 13,765 eligible participants who did not receive HBHCT or received HIV-negative results, 301 men linked to care within 1 year. Overall, only 13 men received EPIC-HIV 2. The proportion of linkage to care did not differ between the arms randomized to EPIC-HIV and those without EPIC-HIV (adjusted risk ratio = 1.05; 95% CI:0.86-1.29). All 13 men who used EPIC-HIV 2 reported the app was acceptable, user-friendly, and useful for getting information on HIV testing and treatment. The reach was low, although the acceptability and usability of the app were very high among those who engaged with it. Enhanced digital support applications could form part of interventions to increase knowledge of HIV treatment among men. Clinical Trial Number: ClinicalTrials.gov # NCT03757104.

Indexed as

Decision Support TechniquesHIV InfectionsMobile ApplicationsPatient Acceptance of Health CareAdultCounselingHIV TestingHumansMaleMiddle AgedMotivationRural PopulationSouth AfricaYoung AdultDigital counseling applicationHuman-centered intervention designInformed decision-makingLinkage to HIV careRandomized controlled trialSouth Africa

Identifiers

PMID39259239

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.