Evidence map›Paper›PMID 27940483›Full record

ArticleInternational journal of epidemiology2016

Do gifts increase consent to home-based HIV testing? A difference-in-differences study in rural KwaZulu-Natal, South Africa.

Mark E McGovern, Kobus Herbst, Frank Tanser, Tinofa Mutevedzi, David Canning, Dickman Gareta, Deenan Pillay, Till Bärnighausen

Abstract read
In one paragraph

Article in International journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  10. Novel methods for health intervention research.Journal of health monitoring · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Mark E McGovernCHaRMS - Centre for Health Research at the Management School, Queen's University Belfast, Northern Ireland.
Kobus HerbstAfrica Health Research Institute, Mtubatuba, South Africa.
Frank TanserAfrica Health Research Institute, Mtubatuba, South Africa.
Tinofa MutevedziAfrica Health Research Institute, Mtubatuba, South Africa.
David CanningDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston 02115, MA, USA.
Dickman GaretaAfrica Health Research Institute, Mtubatuba, South Africa.
Deenan PillayAfrica Health Research Institute, Mtubatuba, South Africa.
Till BärnighausenAfrica Health Research Institute, Mtubatuba, South Africa.

Funding

The Center for the Global Demography of AgingP30AG024409 · NIA · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI BLOOM, DAVID E · 2004 to 2019
$7.9M
New Methods for the design and evaluation of large HIV prevention interventionsR01AI112339 · NIAID · YALE UNIVERSITY · PI SPIEGELMAN, DONNA L · 2014 to 2017
$2.7M
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
Understanding causal pathways of HIV acquisition and transmission: a multi-level,R01HD058482 · NICHD · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2008 to 2012
$1.2M
NIAID NIH HHS R01 AI112339NIA NIH HHS P30 AG024409NICHD NIH HHS R01 HD058482NICHD NIH HHS R01 HD084233Wellcome TrustWellcome Trust 097410/Z/11/Z
6 · The paper itself

Abstract

Background: Despite the importance of HIV testing for controlling the HIV epidemic, testing rates remain low. Efforts to scale up testing coverage and frequency in hard-to-reach and at-risk populations commonly focus on home-based HIV testing. This study evaluates the effect of a gift (a US$5 food voucher for families) on consent rates for home-based HIV testing. Methods: We use data on 18 478 individuals (6 418 men and 12 060 women) who were successfully contacted to participate in the 2009 and 2010 population-based HIV surveillance carried out by the Wellcome Trust's Africa Health Research Institute in rural KwaZulu-Natal, South Africa. Of 18 478 potential participants contacted in both years, 35% (6 518) consented to test in 2009, and 41% (7 533) consented to test in 2010. Our quasi-experimental difference-in-differences approach controls for unobserved confounding in estimating the causal effect of the intervention on HIV-testing consent rates. Results: Allocation of the gift to a family in 2010 increased the probability of family members consenting to test in the same year by 25 percentage points [95% confidence interval (CI) 21-30 percentage points; P  < 0.001]. The intervention effect persisted, slightly attenuated, in the year following the intervention (2011). Conclusions: In HIV hyperendemic settings, a gift can be highly effective at increasing consent rates for home-based HIV testing. Given the importance of HIV testing for treatment uptake and individual health, as well as for HIV treatment-as-prevention strategies and for monitoring the population impact of the HIV response, gifts should be considered as a supportive intervention for HIV-testing initiatives where consent rates have been low.

Indexed as

Gift GivingMotivationAdolescentAdultAgedFemaleHIV InfectionsHome Care ServicesHumansInformed ConsentLinear ModelsMaleMass ScreeningMiddle AgedPatient Acceptance of Health CarePopulation Surveillancedifference-in-differences (DD) analysisgift-voucher interventionhome-based HIV testingrural South Africa

Identifiers

PMID27940483
PMCPMC5841834

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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.