Your browser doesn't support javascript.
Impact of a personalised, digital, HIV self-testing app-based program on linkages and new infections in the township populations of South Africa.
Pai, Nitika; Esmail, Aliasgar; Saha Chaudhuri, Paramita; Oelofse, Suzette; Pretorius, Marietjie; Marathe, Gayatri; Daher, Jana; Smallwood, Megan; Karatzas, Nicolaos; Fadul, Mohammed; de Waal, Anna; Engel, Nora; Zwerling, Alice Anne; Dheda, Keertan.
  • Pai N; Department of Medicine, McGill University, Montreal, Québec, Canada Nitika.Pai@mcgill.ca.
  • Esmail A; Research Institute of McGill University, Montreal, Québec, Canada.
  • Saha Chaudhuri P; South African MRC Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa.
  • Oelofse S; Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute, University of Cape Town, Cape Town, South Africa.
  • Pretorius M; Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Québec, Canada.
  • Marathe G; Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute, University of Cape Town, Cape Town, South Africa.
  • Daher J; Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute, University of Cape Town, Cape Town, South Africa.
  • Smallwood M; Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Québec, Canada.
  • Karatzas N; Research Institute of McGill University, Montreal, Québec, Canada.
  • Fadul M; Research Institute of McGill University, Montreal, Québec, Canada.
  • de Waal A; Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Québec, Canada.
  • Engel N; Department of Experimental Medicine, McGill University, Montreal, Québec, Canada.
  • Zwerling AA; Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute, University of Cape Town, Cape Town, South Africa.
  • Dheda K; Research Institute of McGill University, Montreal, Québec, Canada.
BMJ Glob Health ; 6(9)2021 08.
Article in English | MEDLINE | ID: covidwho-1504511
ABSTRACT

INTRODUCTION:

Implementation data for digital unsupervised HIV self-testing (HIVST) are sparse. We evaluated the impact of an app-based, personalised, oral HIVST program offered by healthcare workers in Western Cape, South Africa.

METHODS:

In a quasirandomised study (n=3095), we recruited consenting adults with undiagnosed HIV infection from township clinics. To the HIVST arm participants (n=1535), we offered a choice of an offsite (home, office or kiosk based), unsupervised digital HIVST program (n=962), or an onsite, clinic-based, supervised digital HIVST program (n=573) with 24/7 linkages services.With propensity score analyses, we compared outcomes (ie, linkages, new HIV infections and test referrals) with conventional HIV testing (ConvHT) arm participants (n=1560), recruited randomly from geographically separated clinics.

RESULTS:

In both arms, participants were young (HIVST vs ConvHT) (mean age 28.2 years vs 29.2 years), female (65.0% vs 76.0%) and had monthly income <3000 rand (80.8% vs 75%).Participants chose unsupervised HIVST (62.7%) versus supervised HIVST and reported multiple sex partners (10.88% vs 8.7%), exposure to sex workers (1.4% vs 0.2%) and fewer comorbidities (0.9% vs 1.9%). Almost all HIVST participants were linked (unsupervised HIVST (99.7%), supervised HIVST (99.8%) vs ConvHT (98.5%)) (adj RR 1.012; 95% CI 1.005 to 1.018) with new HIV infections overall HIVST (9%); supervised HIVST (10.9%) and unsupervised HIVST (7.6%) versus ConvHT (6.79%) (adj RR 1.305; 95% CI 1.023 to 1.665); test referrals 16.7% HIVST versus 3.1% ConvHT (adj RR 5.435; 95% CI 4.024 to 7.340).

CONCLUSIONS:

Our flexible, personalised, app-based HIVST program, offered by healthcare workers, successfully linked almost all HIV self-testers, detected new infections and increased referrals to self-test. Data are relevant for digital HIVST initiatives worldwide.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: HIV Infections / Mobile Applications Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Female / Humans Country/Region as subject: Africa Language: English Year: 2021 Document Type: Article Affiliation country: Bmjgh-2021-006032

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: HIV Infections / Mobile Applications Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Female / Humans Country/Region as subject: Africa Language: English Year: 2021 Document Type: Article Affiliation country: Bmjgh-2021-006032