ABBATE Jessie's profile
avatar

ABBATE Jessie

  • Epidemiology, World Health Organization Office for Africa, Montpellier, France
  • Disease Ecology/Evolution, Epidemiology, Geography of infectious diseases, Immunity to infections (innate, adaptive), Immunoecology, Immunogenomics, Interactions between hosts and infectious agents/vectors, Resistance/Virulence/Tolerance, Zoonoses
  • recommender

Recommendation:  1

Reviews:  0

Areas of expertise
Pathogen-pathogen interactions, Human epidemiology, One Health and Zoonoses, Emerging infectious diseases, Public health, epidemic response

Recommendation:  1

28 May 2024
article picture

HIV self-testing positivity rate and linkage to confirmatory testing and care: a telephone survey in Côte d'Ivoire, Mali and Senegal

The benefits of HIV self-testing in West Africa: quantified.

Recommended by based on reviews by 3 anonymous reviewers

Despite decades of advances and understanding of the indiscriminate nature of human immunodeficiency virus (HIV), it remains shrouded in stigma that makes it difficult to reach some key populations at risk of transmission. The advent of self-testing technology for HIV (HIVST) has opened much-needed potential for bringing privacy to prevention that is crucial for curtailing its continued spread (Johnson et al., 2014). The HIV Self-Testing in Africa (STAR) Initiative (https://www.psi.org/fr/project/star/), carried out in Eastern and Southern Africa between 2015 and 2020 (Simwinga et al., 2022), demonstrated the market and public health operational potential of HIVST of different distribution methods. From 2019 to 2022, the “AutoTest de dépistage du VIH : Libre d’Accéder à la connaissance de son Statut" (ATLAS, translating to “HIVST: Freedom to know your status”) program built on these findings to quantify the public health value of HIVST for reaching key populations in West Africa (specifically, Mali, Senegal and Côte d’Ivoire) (Ky-Zerbo et al., 2022).

The innovative secondary distribution methods these studies employed, where the primary targeted populations were also encouraged to take and provide tests to their contacts, helped widen the reach of HIVST within key population networks beyond those relying on access to HIV testing facilities.

 

The tricky part of the self-testing model lies in assessing its reach and impact while maintaining the privacy of self-testers that is central to its success. Following voluntary phone survey methods that previously were able to show expanded reach of HIVST to first-time testers in key populations in West Africa and high rates of confirmatory testing and treatment seeking (Kra et al., 2022), Kra et al. (Kra et al., 2024) quantified how many of these self-tests led to a positive result – allowing wider assessment of follow-up behaviors and positivity rates among the hard-to-reach populations the program had targeted. 

 

While the numbers were low, the results were informative. Among respondents who reported a positive (“reactive”) HIVST, just 44% proceeded to confirmatory testing. This is lower than in other populations where HIVST follow-up has been assessed (Thirumurthy et al., 2016). The main reasons given for not confirming a reactive self-test was misinterpretation of HIVST results and not understanding that confirmatory testing was needed. The result thus highlighted a need for improved communication on how to correctly interpret HIVST results, and the authors provided ranges for how this misinterpretation could have affected their positivity estimates. However, the majority of those who sought confirmatory testing did so within 3 months, and nearly all of those with confirmed infection started on treatment. HIV positivity rates in the three countries were all higher than other published HIV positivity estimates (Giguère et al., 2021; Maheu-Giroux et al., 2019), suggesting that HIVST methods were highly effective at reaching the targeted communities. 

Finally, while the authors demonstrated their methods as an effective way of assessing the utility of HIVST campaigns and identifying ways to improve them, the follow-up surveys are likely too costly to replace current passive surveillance methods for assessing community disease burden. That said, these precious data should be taken as validation of the public health value of HIV self-testing in key populations across communities in West Africa. With improvements in communicating instructions for use and follow-up, there is little doubt that the innovation of HIVST primary and secondary distribution could become a widely useful addition to the fight against HIV. 

 

References

Giguère, K., Eaton, J. W., Marsh, K., Johnson, L. F., Johnson, C. C., Ehui, E., Jahn, A., Wanyeki, I., Mbofana, F., Bakiono, F., Mahy, M., & Maheu-Giroux, M. (2021). Trends in knowledge of HIV status and efficiency of HIV testing services in sub-Saharan Africa, 2000–20: a modelling study using survey and HIV testing programme data. The Lancet HIV, 8(5), e284–e293. https://doi.org/10.1016/S2352-3018(20)30315-5

Johnson, C., Baggaley, R., Forsythe, S., Van Rooyen, H., Ford, N., Napierala Mavedzenge, S., Corbett, E., Natarajan, P., & Taegtmeyer, M. (2014). Realizing the potential for HIV self-testing. In AIDS and Behavior (Vol. 18, Issue SUPPL. 4). Springer New York LLC. https://doi.org/10.1007/s10461-014-0832-x

Kra, A. K., Fosto, A. S., N’guessan, K. N., Geoffroy, O., Younoussa, S., Kabemba, O. K., Gueye, P. A., Ndeye, P. D., Rouveau, N., Boily, M. C., Silhol, R., d’Elbée, M., Maheu-Giroux, M., Vautier, A., & Larmarange, J. (2022). Can HIV self-testing reach first-time testers? A telephone survey among self-test end users in Côte d’Ivoire, Mali, and Senegal. BMC Infectious Diseases, 22. https://doi.org/10.1186/s12879-023-08626-w

Kra, A. K., Fotso, A. S., Rouveau, N., Maheu-Giroux, M., Boily, M.-C., Silhol, R., d’Elbée, M., Vautier, A., Lamarange, J., & the Atlas team. (2024). HIV self-testing positivity rate and linkage to confirmatory testing and care: a telephone survey in Côte d’Ivoire, Mali, and Senegal. MedRxiv, Ver. 4 Peer-Reviewed and Recommended by Peer Community in Infections, 2023.06.10.23291206. https://doi.org/https://doi.org/10.1101/2023.06.10.23291206

Ky-Zerbo, O., Desclaux, A., Boye, S., Maheu-Giroux, M., Rouveau, N., Vautier, A., Camara, C. S., Kouadio, B. A., Sow, S., Doumenc-Aidara, C., Gueye, P. A., Geoffroy, O., Kamemba, O. K., Ehui, E., Ndour, C. T., Keita, A., & Larmarange, J. (2022). “I take it and give it to my partners who will give it to their partners”: Secondary distribution of HIV self-tests by key populations in Côte d’Ivoire, Mali, and Senegal. BMC Infectious Diseases, 22. https://doi.org/10.1186/s12879-023-08319-4

Maheu-Giroux, M., Marsh, K., Doyle, C. M., Godin, A., Lanièce Delaunay, C., Johnson, L. F., Jahn, A., Abo, K., Mbofana, F., Boily, M. C., Buckeridge, D. L., Hankins, C. A., & Eaton, J. W. (2019). National HIV testing and diagnosis coverage in sub-Saharan Africa: A new modeling tool for estimating the “first 90” from program and survey data. AIDS, 33, S255–S269. https://doi.org/10.1097/QAD.0000000000002386

Simwinga, M., Gwanu, L., Hensen, B., Sigande, L., Mainga, M., Phiri, T., Mwanza, E., Kabumbu, M., Mulubwa, C., Mwenge, L., Bwalya, C., Kumwenda, M., Mubanga, E., Mee, P., Johnson, C. C., Corbett, E. L., Hatzold, K., Neuman, M., Ayles, H., & Taegtmeyer, M. (2022). Lessons learned from implementation of four HIV self-testing (HIVST) distribution models in Zambia: applying the Consolidated Framework for Implementation Research to understand impact of contextual factors on implementation. BMC Infectious Diseases, 22(Suppl 1). https://doi.org/10.1186/s12879-024-09168-5

Thirumurthy, H., Masters, S. H., Mavedzenge, S. N., Maman, S., Omanga, E., & Agot, K. (2016). Promoting male partner HIV testing and safer sexual decision making through secondary distribution of self-tests by HIV-negative female sex workers and women receiving antenatal and post-partum care in Kenya: a cohort study. The Lancet HIV, 3(6), e266–e274. https://doi.org/10.1016/S2352-3018(16)00041-2

 

avatar

ABBATE Jessie

  • Epidemiology, World Health Organization Office for Africa, Montpellier, France
  • Disease Ecology/Evolution, Epidemiology, Geography of infectious diseases, Immunity to infections (innate, adaptive), Immunoecology, Immunogenomics, Interactions between hosts and infectious agents/vectors, Resistance/Virulence/Tolerance, Zoonoses
  • recommender

Recommendation:  1

Reviews:  0

Areas of expertise
Pathogen-pathogen interactions, Human epidemiology, One Health and Zoonoses, Emerging infectious diseases, Public health, epidemic response