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

Author:

Makofane Keletso1ORCID,Kim Hae‐Young23,Tchetgen Tchetgen Eric14,Bassett Mary T.5,Berkman Lisa6,Adeagbo Oluwafemi3,McGrath Nuala37ORCID,Seeley Janet38ORCID,Shahmanesh Maryam39ORCID,Yapa H. Manisha10,Herbst Kobus3ORCID,Tanser Frank3111213,Bärnighausen Till314

Affiliation:

1. Department of Biostatistics, Epidemiology and Informatics University of Pennsylvania Philadelphia United States

2. Department of Population Health New York University Grossman School of Medicine New York New York USA

3. Africa Health Research Institute Kwa‐Zulu Natal South Africa

4. Department of Statistics and Data Science, The Wharton School University of Pennsylvania Philadelphia Pennsylvania USA

5. FXB Center for Health and Human Rights Harvard University Boston Massachusetts USA

6. Harvard Center for Population and Development Studies Harvard University Cambridge United States

7. Department of Social Statistics and Demography University of Southampton Southampton UK

8. Department of Global Health and Development London School of Hygiene & Tropical Medicine London UK

9. Institute for Global Health University College London London UK

10. Kirby Institute for Infection and Immunity University of New South Wales Sydney New South Wales Australia

11. Centre for Epidemic Response and Innovation, School for Data Science and Computational Thinking Stellenbosch University Stellenbosch South Africa

12. School of Nursing and Public Health University of Kwa‐Zulu Natal Durban South Africa

13. Centre for the AIDS Programme of Research in South Africa (CAPRISA) University of Kwa‐Zulu Natal Durban South Africa

14. Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital University of Heidelberg Heidelberg Germany

Abstract

AbstractIntroductionWhile 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.

Publisher

Wiley

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health

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