Using routine programmatic data to estimate the population-level impacts of HIV self-testing: The example of the ATLAS program in Cote d’Ivoire
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9 février 2022
info:eu-repo/semantics/openAccess , http://creativecommons.org/licenses/by-nd/
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Arlette Simo Fotso et al., « Using routine programmatic data to estimate the population-level impacts of HIV self-testing: The example of the ATLAS program in Cote d’Ivoire », Archined : l'archive ouverte de l'INED, ID : 10.1101/2022.02.08.22270670
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Background HIV self-testing (HIVST) is recommended by the World Health Organization as an additional HIV testing approach. Since 2019, it has been implemented in Côte d’Ivoire through the ATLAS project, including primary and secondary distribution channels. While the discreet and flexible nature of HIVST makes it appealing for users, it also makes the monitoring and estimation of the population-level programmatic impact of HIVST programs challenging. We used routinely collected data to estimate the effects of ATLAS’ HIVST distribution on access to testing, conventional testing (self-testing excluded), diagnoses, and antiretroviral treatment (ART) initiations in Côte d’Ivoire. Methods We used the ATLAS project’s programmatic data between the third quarter (Q) of 2019 (Q3 2019) and Q1 2021, in addition to routine HIV testing services program data obtained from the President’s Emergency Plan for AIDS Relief dashboard. We performed ecological time series regression using linear mixed models. Findings The results are presented for 1000 HIVST kits distributed through ATLAS. They show a negative but nonsignificant effect of the number of ATLAS HIVST on conventional testing uptake (−190 conventional tests [95% CI: −427 to 37, p=0·10]). We estimated that for 1000 additional HIVST distributed through ATLAS, +590 [95% CI: 357 to 821, p