Irene Inwani1, Nok Chhun2, Kawango Agot3, Charles M Cleland4, Samwel O Rao3, Ruth Nduati5, John Kinuthia1, Ann E Kurth6. 1. Kenyatta National Hospital, University of Nairobi, Nairobi, Kenya. 2. Yale University School of Nursing, Orange, Connecticut. 3. Impact Research and Development Organization, Kisumu, Kenya. 4. Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, New York. 5. Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya. 6. Yale University School of Nursing, Orange, Connecticut. Electronic address: ann.kurth@yale.edu.
Abstract
PURPOSE: To improve testing coverage, it is imperative to determine adolescent girls and young women (AGYW) preferences about HIV testing modality and where they prefer receiving services. METHODS: Participants were enrolled between May 2017 and April 2018 from three sites in Homa Bay County, Nyanza region, western Kenya. We explored two recruitment approaches (home-based vs. mobile-event based) and three HIV testing options (oral self-test, staff-administered, or referral to health facility). Exact logistic regression compared yield of newly diagnosed HIV and high-risk HIV-negatives from the recruitment and testing option strategies. RESULTS: A total of 1,198 participants were enrolled, 1,046 (87.3%) at home and 152 (12.7%) at mobile events. Most participants (928, 77.5%) chose staff-aided testing either at home or at a mobile event; 268 (22.4%) chose self-testing; and only 2 (.2%) chose facility referral. Prevalence of newly diagnosed HIV-positives was 2.7% (32/1,198) and 36.8% (429/1,166) of HIV-negative AGYW were identified as high risk. We identified more newly diagnosed HIV infection among AGYW recruited at mobile events than at home (OR = 3.11; 95% CI: 1.33-6.74; p = .02). High-risk status was related to neither recruitment strategy nor testing modality. Older age was associated with increased odds of selecting an oral self-test (OR = 1.85; 95% CI: 1.06-3.22). CONCLUSIONS: More than one-third of AGYW were at elevated risk of HIV infection, and those unaware of their HIV infection were more likely to be identified at a mobile outreach. Though self-testing was not the dominant preferred strategy, self-tests were performed accurately and with high confidence. These findings can help inform efficient identification of undiagnosed HIV infection and high risk for seroconversion among AGYW in similar settings.
PURPOSE: To improve testing coverage, it is imperative to determine adolescent girls and young women (AGYW) preferences about HIV testing modality and where they prefer receiving services. METHODS:Participants were enrolled between May 2017 and April 2018 from three sites in Homa Bay County, Nyanza region, western Kenya. We explored two recruitment approaches (home-based vs. mobile-event based) and three HIV testing options (oral self-test, staff-administered, or referral to health facility). Exact logistic regression compared yield of newly diagnosed HIV and high-risk HIV-negatives from the recruitment and testing option strategies. RESULTS: A total of 1,198 participants were enrolled, 1,046 (87.3%) at home and 152 (12.7%) at mobile events. Most participants (928, 77.5%) chose staff-aided testing either at home or at a mobile event; 268 (22.4%) chose self-testing; and only 2 (.2%) chose facility referral. Prevalence of newly diagnosed HIV-positives was 2.7% (32/1,198) and 36.8% (429/1,166) of HIV-negative AGYW were identified as high risk. We identified more newly diagnosed HIV infection among AGYW recruited at mobile events than at home (OR = 3.11; 95% CI: 1.33-6.74; p = .02). High-risk status was related to neither recruitment strategy nor testing modality. Older age was associated with increased odds of selecting an oral self-test (OR = 1.85; 95% CI: 1.06-3.22). CONCLUSIONS: More than one-third of AGYW were at elevated risk of HIV infection, and those unaware of their HIV infection were more likely to be identified at a mobile outreach. Though self-testing was not the dominant preferred strategy, self-tests were performed accurately and with high confidence. These findings can help inform efficient identification of undiagnosed HIV infection and high risk for seroconversion among AGYW in similar settings.
Authors: Kate S Wilson; Cyrus Mugo; David A Katz; Vivianne Manyeki; Carol Mungwala; Lilian Otiso; David Bukusi; R Scott McClelland; Jane M Simoni; Matt Driver; Sarah Masyuko; Irene Inwani; Pamela K Kohler Journal: AIDS Behav Date: 2021-09-01
Authors: Clara A Agutu; Tony H Oduor; Amin S Hassan; Peter M Mugo; Wairimu Chege; Tobias F Rinke de Wit; Eduard J Sanders; Susan M Graham Journal: BMC Public Health Date: 2022-02-11 Impact factor: 3.295
Authors: Malango T Msukwa; Ellen W MacLachlan; Salem T Gugsa; Joe Theu; Ireen Namakhoma; Fred Bangara; Christopher L Blair; Danielle Payne; Kathryn G Curran; Melissa Arons; Khumbo Namachapa; Nellie Wadonda; Alinune N Kabaghe; Trudy Dobbs; Vedapuri Shanmugam; Evelyn Kim; Andrew Auld; Yusuf Babaye; Gabrielle O'Malley; Rose Nyirenda; George Bello Journal: BMJ Open Date: 2022-09-23 Impact factor: 3.006
Authors: Winnie Kavulani Luseno; Samuel H Field; Bonita J Iritani; Fredrick S Odongo; Daniel Kwaro; Stuart Rennie Journal: Int J Environ Res Public Health Date: 2022-03-10 Impact factor: 3.390