{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T15:46:18Z","timestamp":1791215178735,"version":"4.1.0"},"reference-count":44,"publisher":"BMJ","issue":"1","license":[{"start":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T00:00:00Z","timestamp":1736553600000},"content-version":"unspecified","delay-in-days":10,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["INV-038274"],"award-info":[{"award-number":["INV-038274"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Glob Health"],"accepted":{"date-parts":[[2024,12,19]]},"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:sec>\n                  <jats:title>Introduction<\/jats:title>\n                  <jats:p>Oral pre-exposure prophylaxis (PrEP) is a priority intervention for scale-up in countries with high HIV prevalence. Policymakers must decide how to optimise PrEP allocation to maximise health benefits within limited budgets. We assessed the health and economic impact of PrEP scale-up among different subgroups and regions in western Kenya.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>We adapted an agent-based network model, EMOD-HIV, to simulate PrEP uptake in six counties of western Kenya across seven subgroups including serodiscordant couples (SDCs), adolescent girls and young women (AGYW), adolescent boys and young men, women with multiple partners and men with multiple partners. We modelled 5 years of PrEP provision assuming 90% PrEP uptake in the prioritised subgroups and evaluated outcomes over 20 years compared with a no PrEP scenario. All results are presented in 2021 USD$.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Population PrEP coverage was highest in the broad AGYW scenario (8.3%, ~2\u2009fold higher than the next highest coverage scenario) and lowest in the SDC scenario (0.37%). Across scenarios, PrEP averted 4.5%\u201321.3% of infections over the 5-year implementation. PrEP provision to SDCs was associated with the lowest incremental cost-effectiveness ratio (ICER), $245 per disability-adjusted life year (DALY) averted (CI $179 to $435), followed by women and men with multiple partners ($1898 (CI $1002 to $6771) and $2351 (CI $1 831 to $3494) per DALY averted, respectively). Targeted strategies were more efficient than broad provision even in high HIV prevalence counties; PrEP scale-up for AGYW with multiple partners had an ICER per DALY averted of $4745 (CI $2059 to $22 515) compared with $12\u2009351 for broad AGYW (CI $7 050 to $33,955). In general, ICERs were lower in counties with higher HIV prevalence.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>PrEP scale-up can avert substantial HIV infections and increasing PrEP demand for subgroups at higher risk can increase efficiency of PrEP programmes. Our results on health and cost impact of PrEP across geographic regions in western Kenya can be used for budgetary planning and priority setting.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/bmjgh-2024-015835","type":"journal-article","created":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T23:40:14Z","timestamp":1736638814000},"page":"e015835","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":4,"title":["Health and economic impact of oral PrEP provision across subgroups in western Kenya: a modelling analysis"],"prefix":"10.1136","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6606-8708","authenticated-orcid":false,"given":"Rachel","family":"Wittenauer","sequence":"first","affiliation":[{"name":"Department of Pharmacy, University of Washington, Seattle, Washington, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7240-5412","authenticated-orcid":false,"given":"Linxuan","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2447-0504","authenticated-orcid":false,"given":"Sarah","family":"Cox","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian","family":"Pfau","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Monisha","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA"},{"name":"Department of Global Health, University of Washington, Seattle, Washington, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2025,1,11]]},"reference":[{"key":"2025073012461413000_10.1.e015835.1","unstructured":"World AIDS day 2023: fact sheet. 2023."},{"key":"2025073012461413000_10.1.e015835.2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30925-9"},{"key":"2025073012461413000_10.1.e015835.3","unstructured":"NASCOP . Kenya ministry of health Kenya AIDS strategic framework II (2020\/1 - 2024\/5)."},{"key":"2025073012461413000_10.1.e015835.4","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1003649","article-title":"Ending AIDS as a public health threat by 2030: Time to reset targets for 2025","volume":"18","author":"De Lay","year":"2021","journal-title":"PLoS Med"},{"key":"2025073012461413000_10.1.e015835.5","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1003492","article-title":"HIV incidence after pre-exposure prophylaxis initiation among women and men at elevated HIV risk: A population-based study in rural Kenya and Uganda","volume":"18","author":"Koss","year":"2021","journal-title":"PLoS Med"},{"key":"2025073012461413000_10.1.e015835.6","unstructured":"HIV prevention 2025 road map: getting on track to end aids as a public health threat by 2030."},{"key":"2025073012461413000_10.1.e015835.7","doi-asserted-by":"publisher","DOI":"10.1071\/SH18090"},{"key":"2025073012461413000_10.1.e015835.8","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1186\/s12913-021-06832-3","article-title":"Low costs and opportunities for efficiency: a cost analysis of the first year of programmatic PrEP delivery in Kenya\u2019s public sector","volume":"21","author":"Peebles","year":"2021","journal-title":"BMC Health Serv Res"},{"key":"2025073012461413000_10.1.e015835.9","unstructured":"Nascop . Framework for the implementation of pre-exposure prophylaxis of HIV in Kenya. For clarifications contact national AIDS and STI control program (NASCOP) on P.O. Box. Kenya, Nairobi K, 1936."},{"key":"2025073012461413000_10.1.e015835.10","unstructured":"UNAIDS . UNAIDS global AIDS update 2022. 2022."},{"key":"2025073012461413000_10.1.e015835.11","unstructured":"AVAC . Data by country. In: PrEPWatch. 2023. 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