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1275. Will an App-Optimized HIV Self-testing Strategy Work for South Africans? Results From a Large Cohort Study

BACKGROUND: HIV self-testing (HIVST) offers a potential for expanded test access; challenges remain in operationalizing rapid personalized linkages and referrals to care. We investigated if an app-optimized personalized HIVST strategy improved referrals, detected new infections and expedited linkage...

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Autores principales: Pai, Nitika Pant, Esmail, Ali, Marathe, Gayatri, Oelofse, Suzette, Pretorius, Marietjie, Smallwood, Megan, Daher, Jana, Janssen, Ricky, Saha-Chaudhuri, Paramita, Engel, Nora, Dheda, Keertan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252956/
http://dx.doi.org/10.1093/ofid/ofy210.1108
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author Pai, Nitika Pant
Esmail, Ali
Marathe, Gayatri
Oelofse, Suzette
Pretorius, Marietjie
Smallwood, Megan
Daher, Jana
Janssen, Ricky
Saha-Chaudhuri, Paramita
Engel, Nora
Dheda, Keertan
author_facet Pai, Nitika Pant
Esmail, Ali
Marathe, Gayatri
Oelofse, Suzette
Pretorius, Marietjie
Smallwood, Megan
Daher, Jana
Janssen, Ricky
Saha-Chaudhuri, Paramita
Engel, Nora
Dheda, Keertan
author_sort Pai, Nitika Pant
collection PubMed
description BACKGROUND: HIV self-testing (HIVST) offers a potential for expanded test access; challenges remain in operationalizing rapid personalized linkages and referrals to care. We investigated if an app-optimized personalized HIVST strategy improved referrals, detected new infections and expedited linkages to care and treatment. METHODS: In an ongoing cohort study (n = 2,000) based in South Africa, from November 2016 to January 2018, to participants presenting to self-test at community township based clinics, we offered a choice of the following strategies: (a) unsupervised HIVST; (b) supervised HIVST. We also observed participants opting for conventional HIV testing (ConvHT) in geographically separated clinics. We observed outcomes (i.e., linkage initiation, referrals, disease detection) and compared it between the two (HIVST vs. ConvHT) for the same duration. RESULTS: Of 2,000 participants, 1,000 participants were on HIVST, 599 (59.9%) chose unsupervised HIVST, 401 (40.1%) on supervised HIVST; compared with 1,000 participants on ConvHT. Participants in HIVST vs. ConvHT were comparable young (mean age 27.7 [SD = 9.0] vs. 29.5 [SD = 8.4]); female (64.0% vs. 74.7%); poor monthly income <3,000 RAND ($253 USD) (79.9% vs. 76.4%). With HIV ST (vs. ConvHT), many more referrals (17.4% [15.1–19.9] vs. 2.6% [1.7–3.8]; RR 6.69 [95% CI: 4.47–10.01]), and many new infections (86 (8.6% (6.9–10.5)) vs. 57 (5.7% (4.3–7.3)); Odds Ratio 1.55 [95% CI 1.1–2.2]) were noted. Break up: 45 infections in supervised HIVST 45 (52.3%); 41 infections in unsupervised HIVST (47.6%)]. Preference for HIVST was at 91.6%. With an app-optimized HIVST strategy, linkages to care were operationalized within a day in all participants (99.7% (HIVST) vs. 99.2% (ConvHT); RR 1.005 [95% CI: 0.99–1.01]); 99.8% supervised HIVST, 99.7% unsupervised HIVST. CONCLUSION: Our app-optimized HIVST strategy successfully increased test referrals, detected new infections, and operationalized linkages within a day. This innovative, patient preferred strategy holds promise for a global scale up in digitally literate populations worldwide. DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62529562018-11-28 1275. Will an App-Optimized HIV Self-testing Strategy Work for South Africans? Results From a Large Cohort Study Pai, Nitika Pant Esmail, Ali Marathe, Gayatri Oelofse, Suzette Pretorius, Marietjie Smallwood, Megan Daher, Jana Janssen, Ricky Saha-Chaudhuri, Paramita Engel, Nora Dheda, Keertan Open Forum Infect Dis Abstracts BACKGROUND: HIV self-testing (HIVST) offers a potential for expanded test access; challenges remain in operationalizing rapid personalized linkages and referrals to care. We investigated if an app-optimized personalized HIVST strategy improved referrals, detected new infections and expedited linkages to care and treatment. METHODS: In an ongoing cohort study (n = 2,000) based in South Africa, from November 2016 to January 2018, to participants presenting to self-test at community township based clinics, we offered a choice of the following strategies: (a) unsupervised HIVST; (b) supervised HIVST. We also observed participants opting for conventional HIV testing (ConvHT) in geographically separated clinics. We observed outcomes (i.e., linkage initiation, referrals, disease detection) and compared it between the two (HIVST vs. ConvHT) for the same duration. RESULTS: Of 2,000 participants, 1,000 participants were on HIVST, 599 (59.9%) chose unsupervised HIVST, 401 (40.1%) on supervised HIVST; compared with 1,000 participants on ConvHT. Participants in HIVST vs. ConvHT were comparable young (mean age 27.7 [SD = 9.0] vs. 29.5 [SD = 8.4]); female (64.0% vs. 74.7%); poor monthly income <3,000 RAND ($253 USD) (79.9% vs. 76.4%). With HIV ST (vs. ConvHT), many more referrals (17.4% [15.1–19.9] vs. 2.6% [1.7–3.8]; RR 6.69 [95% CI: 4.47–10.01]), and many new infections (86 (8.6% (6.9–10.5)) vs. 57 (5.7% (4.3–7.3)); Odds Ratio 1.55 [95% CI 1.1–2.2]) were noted. Break up: 45 infections in supervised HIVST 45 (52.3%); 41 infections in unsupervised HIVST (47.6%)]. Preference for HIVST was at 91.6%. With an app-optimized HIVST strategy, linkages to care were operationalized within a day in all participants (99.7% (HIVST) vs. 99.2% (ConvHT); RR 1.005 [95% CI: 0.99–1.01]); 99.8% supervised HIVST, 99.7% unsupervised HIVST. CONCLUSION: Our app-optimized HIVST strategy successfully increased test referrals, detected new infections, and operationalized linkages within a day. This innovative, patient preferred strategy holds promise for a global scale up in digitally literate populations worldwide. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6252956/ http://dx.doi.org/10.1093/ofid/ofy210.1108 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Pai, Nitika Pant
Esmail, Ali
Marathe, Gayatri
Oelofse, Suzette
Pretorius, Marietjie
Smallwood, Megan
Daher, Jana
Janssen, Ricky
Saha-Chaudhuri, Paramita
Engel, Nora
Dheda, Keertan
1275. Will an App-Optimized HIV Self-testing Strategy Work for South Africans? Results From a Large Cohort Study
title 1275. Will an App-Optimized HIV Self-testing Strategy Work for South Africans? Results From a Large Cohort Study
title_full 1275. Will an App-Optimized HIV Self-testing Strategy Work for South Africans? Results From a Large Cohort Study
title_fullStr 1275. Will an App-Optimized HIV Self-testing Strategy Work for South Africans? Results From a Large Cohort Study
title_full_unstemmed 1275. Will an App-Optimized HIV Self-testing Strategy Work for South Africans? Results From a Large Cohort Study
title_short 1275. Will an App-Optimized HIV Self-testing Strategy Work for South Africans? Results From a Large Cohort Study
title_sort 1275. will an app-optimized hiv self-testing strategy work for south africans? results from a large cohort study
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252956/
http://dx.doi.org/10.1093/ofid/ofy210.1108
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