Evidence map›Paper›PMID 37598389›Full record

Trial reportJournal of the International AIDS Society2023

Impact of family networks on uptake of health interventions: evidence from a community-randomized control trial aimed at increasing HIV testing in South Africa.

Keletso Makofane, Hae-Young Kim, Eric Tchetgen Tchetgen, Mary T Bassett, Lisa Berkman, Oluwafemi Adeagbo, Nuala McGrath, Janet Seeley, Maryam Shahmanesh, H Manisha Yapa and 3 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 NCT03757104 (Home-based Interventions to Test and Start), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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.

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

13 authors at 9 institutions in 6 countries.

Keletso MakofaneDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, United States.ORCID 0000-0001-8493-4238
Hae-Young KimDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, USA.
Eric Tchetgen TchetgenDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, United States.
Mary T BassettFXB Center for Health and Human Rights, Harvard University, Boston, Massachusetts, USA.
Lisa BerkmanHarvard Center for Population and Development Studies, Harvard University, Cambridge, United States.
Oluwafemi AdeagboAfrica Health Research Institute, Kwa-Zulu Natal, South Africa.
Nuala McGrathAfrica Health Research Institute, Kwa-Zulu Natal, South Africa.ORCID 0000-0002-1039-0159
Janet SeeleyAfrica Health Research Institute, Kwa-Zulu Natal, South Africa.ORCID 0000-0002-0583-5272
Maryam ShahmaneshAfrica Health Research Institute, Kwa-Zulu Natal, South Africa.ORCID 0000-0001-7129-8535
H Manisha YapaKirby Institute for Infection and Immunity, University of New South Wales, Sydney, New South Wales, Australia.
Kobus HerbstAfrica Health Research Institute, Kwa-Zulu Natal, South Africa.ORCID 0000-0002-5436-9386
Frank TanserAfrica Health Research Institute, Kwa-Zulu Natal, South Africa.
Till BärnighausenAfrica Health Research Institute, Kwa-Zulu Natal, South Africa.
Africa Health Research Institute · ZAHarvard University Press · USHeidelberg University · DELondon School of Hygiene & Tropical Medicine · GBPhysicians for Human Rights · USUniversity of Pennsylvania · USUniversity of the Arts · USUniversity of Zululand · ZAUNSW Sydney · AU

Funding

Novel Designs and Methods to Remove Hidden Confounding Bias in Health SciencesR01AG065276 · NIA · UNIVERSITY OF PENNSYLVANIA · PI TCHETGEN TCHETGEN, ERIC JOEL · 2020 to 2024
$2.4M
NIA NIH HHS R01 AG065276
6 · The paper itself

Abstract

introductionWhile it is widely acknowledged that family relationships can influence health outcomes, their impact on the uptake of individual health interventions is unclear. In this study, we quantified how the efficacy of a randomized health intervention is shaped by its pattern of distribution in the family network.

methodsThe "Home-Based Intervention to Test and Start" (HITS) was a 2×2 factorial community-randomized controlled trial in Umkhanyakude, KwaZulu-Natal, South Africa, embedded in the Africa Health Research Institute's population-based demographic and HIV surveillance platform (ClinicalTrials.gov # NCT03757104). The study investigated the impact of two interventions: a financial micro-incentive and a male-targeted HIV-specific decision support programme. The surveillance area was divided into 45 community clusters. Individuals aged ≥15 years in 16 randomly selected communities were offered a micro-incentive (R50 [$3] food voucher) for rapid HIV testing (intervention arm). Those living in the remaining 29 communities were offered testing only (control arm). Study data were collected between February and November 2018. Using routinely collected data on parents, conjugal partners, and co-residents, a socio-centric family network was constructed among HITS-eligible individuals. Nodes in this network represent individuals and ties represent family relationships. We estimated the effect of offering the incentive to people with and without family members who also received the offer on the uptake of HIV testing. We fitted a linear probability model with robust standard errors, accounting for clustering at the community level.

resultsOverall, 15,675 people participated in the HITS trial. Among those with no family members who received the offer, the incentive's efficacy was a 6.5 percentage point increase (95% CI: 5.3-7.7). The efficacy was higher among those with at least one family member who received the offer (21.1 percentage point increase (95% CI: 19.9-22.3). The difference in efficacy was statistically significant (21.1-6.5 = 14.6%; 95% CI: 9.3-19.9).

conclusionsMicro-incentives appear to have synergistic effects when distributed within family networks. These effects support family network-based approaches for the design of health interventions.

Indexed as

HIV InfectionsHIV TestingReimbursement, IncentiveSocial NetworkingAdolescentAdultEpidemiological MonitoringFamilyFemaleHumansMaleMiddle AgedSouth AfricaYoung AdultAHRIHIV epidemiologyrandomized controlled trial (RCT)social epidemiologysocial networkstesting

Identifiers

PMID37598389
PMCPMC10440100
OpenAlexW4386019545

What OpenQuestion holds

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LicenceCC BY
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.