Population impacts of conditional financial incentives and a male‐targeted digital decision support application on the HIV treatment cascade in rural KwaZulu Natal: findings from the HITS cluster randomized clinical trial

Author:

Inghels Maxime12ORCID,Kim Hae‐Young34ORCID,Mathenjwa Thulile3ORCID,Shahmanesh Maryam35ORCID,Seeley Janet36ORCID,Wyke Sally7ORCID,Matthews Philippa3ORCID,Adeagbo Oluwafemi89ORCID,Gareta Dickman3ORCID,McGrath Nuala31011ORCID,Yapa H. Manisha312ORCID,Blandford Ann13ORCID,Zuma Thembelihle3,Dobra Adrian14ORCID,Bärnighausen Till315ORCID,Tanser Frank3161718

Affiliation:

1. Lincoln International Institute for Rural Health University of Lincoln Lincoln UK

2. Centre Population et Développement (UMR 196 Paris Descartes – IRD), SageSud (ERL INSERM 1244) Institut de Recherche pour le Développement Paris France

3. Africa Health Research Institute KwaZulu‐Natal South Africa

4. Department of Population Health New York University School of Medicine New York City New York USA

5. Institute for Global Health University College London London UK

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

7. School of Social and Political Sciences, School of Health and Wellbeing University of Glasgow Glasgow UK

8. Department of Sociology University of Johannesburg Johannesburg South Africa

9. Department of Community and Behavioral Health College of Public Health University of Iowa Iowa City Iowa USA

10. School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine University of Southampton Southampton UK

11. Department of Social Statistics and Demography, Faculty of Social Sciences University of Southampton Southampton UK

12. Westmead Clinical School, Faculty of Medicine & Health University of Sydney Sydney New South Wales Australia

13. University College London Interaction Centre University College London London UK

14. University of Washington Seattle Washington USA

15. Heidelberg Institute of Global Health (HIGH) Heidelberg University Heidelberg Germany

16. Centre for the AIDS Programme of Research in South Africa (CAPRISA) University of KwaZulu‐Natal Durban South Africa

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

18. The South African Centre for Epidemiological Modelling and Analysis (SACEMA) Stellenbosch University Stellenbosch South Africa

Abstract

AbstractIntroductionIn South Africa, the HIV care cascade remains suboptimal. We investigated the impact of small conditional financial incentives (CFIs) and male‐targeted HIV‐specific decision‐support application (EPIC‐HIV) on the HIV care cascade.MethodsIn 2018, in uMkhanyakude district, 45 communities were randomly assigned to one of four arms: (i) CFI for home‐based HIV testing and linkage to care within 6 weeks (R50 [US$3] food voucher each); (ii) EPIC‐HIV which are based on self‐determination theory; (iii) both CFI and EPIC‐HIV; and (iv) standard of care. EPIC‐HIV consisted of two components: EPIC‐HIV 1, provided to men through a tablet before home‐based HIV testing, and EPIC‐HIV 2, offered 1 month later to men who tested positive but had not yet linked to care. Linking HITS trial data to national antiretroviral treatment (ART) programme data and HIV surveillance programme data, we estimated HIV status awareness after the HITS trial implementation, ART status 3 month after the trial and viral load suppression 1 year later. Analysis included all known individuals living with HIV in the study area including those who did not participated in the HITS trial.ResultsAmong the 33,778 residents in the study area, 2763 men and 7266 women were identified as living with HIV by the end of the intervention period and included in the analysis. After the intervention, awareness of HIV‐positive status was higher in the CFI arms compared to non‐CFI arms (men: 793/908 [87.3%] vs. 1574/1855 [84.9%], RR = 1.03 [95% CI: 0.99−1.07]; women: 2259/2421 [93.3%] vs. 4439/4845 [91.6%], RR = 1.02 [95% CI: 1.00−1.04]). Three months after the intervention, no differences were found for linkage to ART between arms. One year after the intervention, only 1829 viral test results were retrieved. Viral suppression was higher but not significant in the EPIC‐HIV intervention arms among men (65/99 [65.7%] vs. 182/308 [59.1%], RR = 1.11 [95% CI: 0.88−1.40]).ConclusionsSmall CFIs can contribute to achieve the first step of the HIV care cascade. However, neither CFIs nor EPIC‐HIV was sufficient to increase the number of people on ART. Additional evidence is needed to confirm the impact of EPIC‐HIV on viral suppression.

Funder

National Institute of Allergy and Infectious Diseases

National Institutes of Health

Wellcome Trust

South African Medical Research Council

National Institute for Health and Care Research

Publisher

Wiley

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