{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T13:39:09Z","timestamp":1769002749350,"version":"3.49.0"},"reference-count":39,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"content-version":"vor","delay-in-days":17,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Int AIDS Soc."],"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>South African youth and adolescents face a high burden of (Sexually Transmitted Infections) STIs, HIV and unintended pregnancies, but uptake of services remains low. To address this, tailored and scalable interventions are urgently needed. We developed a framework to fill the gap and translate the impact of facility\u2010level attributes into a cost\u2010effectiveness analysis for increasing HIV\/contraceptive service uptake in adolescents using a discrete choice experiment (DCE).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We used a DCE (<jats:italic>n<\/jats:italic> = 805) conducted in Gauteng, South Africa, which found that staff attitude, confidentiality, Wi\u2010Fi, subsidized food, afternoon hours and youth\u2010only services were preferred attributes of health services. Based on this, we simulated the uptake of services adapted for these preferences. We divided preferences into modifiable attributes that could readily be adapted (e.g. Wi\u2010Fi), and challenging to modify (more nuanced attributes that are more challenging to cost and evaluate): staff attitude and estimated the incremental change in the uptake of services using adapted services. Costs for modifiable preferences were estimated using data from two clinics in South Africa (2019 US$). We determined the incremental cost\u2010effectiveness ratio (ICER) for additional adolescents using services of 15 intervention combinations, and report the results of interventions on the cost\u2010effectiveness frontier.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Greatest projected impact on uptake was from friendly and confidential services, both of which were considered challenging to modify (18.5% 95% CI: 13.0%\u221224.0%; 8.4% 95% CI: 3.0%\u221214.0%, respectively). Modifiable factors on their own resulted in only small increases in expected uptake. (Food: 2.3% 95% CI: 4.0%\u22129.00%; Wi\u2010Fi: 3.0% 95% CI: \u22124.0% to 10.0%; Youth\u2010only services: 0.3% 95% CI: \u22126.0% to 7.0%; Afternoon services: 0.8% 95% CI: \u22126.0% to 7.0%). The order of interventions on the cost\u2010effectiveness frontier are Wi\u2010Fi and youth\u2010only services (ICER US$7.01\u2212US$9.78 per additional adolescent utilizing HIV and contraceptive services), Wi\u2010Fi, youth\u2010only services and food (ICER US$9.32\u2212US$10.45), followed by Wi\u2010Fi, youth\u2010only services and extended afternoon hours (ICER US$14.46\u2013US$43.63).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Combining DCE results and costing analyses within a modelling framework provides an innovative way to inform decisions on effective resource utilization. Modifiable preferences, such as Wi\u2010Fi provision, youth\u2010only services and subsidized food, have the potential to cost\u2010effectively increase the proportion of adolescents accessing HIV and contraceptive services.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jia2.26124","type":"journal-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T02:57:47Z","timestamp":1689735467000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A modelling framework for translating discrete choice experiment results into cost\u2010effectiveness estimates: an application to designing tailored and scalable HIV and contraceptive services for adolescents in Gauteng, South Africa"],"prefix":"10.1002","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2595-1913","authenticated-orcid":false,"given":"Caroline","family":"Govathson","sequence":"first","affiliation":[{"name":"Health Economics and Epidemiology Research Office Faculty of Health Sciences University of the Witwatersrand  Johannesburg South Africa"},{"name":"Department of Medical Microbiology Amsterdam University Medical Center  Amsterdam The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lawrence C.","family":"Long","sequence":"additional","affiliation":[{"name":"Health Economics and Epidemiology Research Office Faculty of Health Sciences University of the Witwatersrand  Johannesburg South Africa"},{"name":"Department of Global Health Boston University School of Public Health Boston Massachusetts 02118 USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Colin A.","family":"Russell","sequence":"additional","affiliation":[{"name":"Department of Global Health Boston University School of Public Health Boston Massachusetts 02118 USA"},{"name":"Department of Medical Microbiology Amsterdam University Medical Center  Amsterdam The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aneesa","family":"Moolla","sequence":"additional","affiliation":[{"name":"Health Economics and Epidemiology Research Office Faculty of Health Sciences University of the Witwatersrand  Johannesburg South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9199-8333","authenticated-orcid":false,"given":"Sophie","family":"Pascoe","sequence":"additional","affiliation":[{"name":"Health Economics and Epidemiology Research Office Faculty of Health Sciences University of the Witwatersrand  Johannesburg South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4682-4999","authenticated-orcid":false,"given":"Brooke E.","family":"Nichols","sequence":"additional","affiliation":[{"name":"Health Economics and Epidemiology Research Office Faculty of Health Sciences University of the Witwatersrand  Johannesburg South Africa"},{"name":"Department of Global Health Boston University School of Public Health Boston Massachusetts 02118 USA"},{"name":"Department of Medical Microbiology Amsterdam University Medical Center  Amsterdam The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.7196\/SAMJ.2018.v108i8.13013"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.7196\/SAMJ.2019.v110i1.14281"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12889\u2010020\u201009488\u20106"},{"key":"e_1_2_12_5_1","unstructured":"UNAIDS.Women and HIV \u2014 a spotlight on adolescent girls and young women [Internet].Geneva:UNAIDS;2020[cited 2023 Apr 6]. 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