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Wirawan GBS, Schimdt H, Chan C, Fraser D, Ong JJ, Cassell M, Zhang L, Tieosapjaroen W, Phanuphak N, Tang W, Suwandi N, Green KA, Dobbins T, Bavinton BR. PrEP use and willingness cascades among GBMSM in 15 Asian countries/territories: an analysis of the PrEP APPEAL survey. J Int AIDS Soc 2025; 28:e26438. [PMID: 40156168 PMCID: PMC11953173 DOI: 10.1002/jia2.26438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Accepted: 03/03/2025] [Indexed: 04/01/2025] Open
Abstract
INTRODUCTION Despite the high HIV incidence among gay, bisexual and other men who have sex with men (GBMSM) and the demonstrated effectiveness of HIV pre-exposure prophylaxis (PrEP), PrEP is not accessible at scale across Asia. To help inform future scaling efforts, our study aimed to examine PrEP use and willingness to use among GBMSM to identify opportunities and target groups for upscaling PrEP. METHODS The PrEP APPEAL survey was a cross-sectional survey, promoted through online advertising and community organizations, from May to November 2022. Eligible participants were adult GBMSM who self-identified as HIV negative residing in Asia. We constructed two cascades: PrEP use (comprising awareness, lifetime use and current use of PrEP) and PrEP willingness among participants who were aware of PrEP but had never used it (comprising HIV exposure risk, willingness in PrEP and willingness to pay for PrEP). Multivariable logistic regression models identified factors associated with lifetime PrEP use and PrEP willingness. RESULTS Of 15,339 participants, 1440 were excluded due to missing data, leaving 13,899 for analysis. Most lived in large or capital cities (68.3%) and in lower-middle-income countries (45.1%). The median age was 30 (25-36) years old. For the PrEP use cascade, 82.2% (n = 11,427/13,899) of participants were aware of PrEP, 35.0% (n = 4000/11,427) had used it before and 70.1% (n = 2803/4000) of them were currently on PrEP. For the PrEP willingness cascade, 54.8% of (n = 4068/7427) PrEP-naïve participants engaged in one or more behaviours with a higher risk of HIV acquisition, 73.7% (n = 2996/4068) of them expressed willingness to use PrEP and 83.0% (n = 2487/2996) of them were willing to pay for PrEP. Multivariable logistic regression models identified system-level (PrEP availability, accessibility and affordability) predictors of PrEP use. Individual-level behaviours associated with higher HIV acquisition risks were associated with PrEP use and willingness. CONCLUSIONS While PrEP uptake was suboptimal, there was high awareness and willingness in PrEP among GBMSM. This is encouraging for future scale-up efforts. Future PrEP programmes should address system-level barriers to support PrEP uptake.
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Affiliation(s)
- Gede Benny Setia Wirawan
- Kirby Institute, UNSWSydneyNew South WalesAustralia
- Center for Public Health Innovation, Faculty of MedicineUdayana UniversityDenpasarIndonesia
| | - Heather‐Marie Schimdt
- Joint United Nations Programme on HIV/AIDS (UNAIDS)GenevaSwitzerland
- World Health OrganizationGenevaSwitzerland
| | - Curtis Chan
- Kirby Institute, UNSWSydneyNew South WalesAustralia
| | - Doug Fraser
- Kirby Institute, UNSWSydneyNew South WalesAustralia
| | - Jason J. Ong
- School of Translational MedicineMonash UniversityMelbourneVictoriaAustralia
- Faculty of Infectious and Tropical DiseasesLondon School of Hygiene and Tropical MedicineLondonUK
| | | | - Lei Zhang
- School of Translational MedicineMonash UniversityMelbourneVictoriaAustralia
- Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health CentreAlfred HealthMelbourneVictoriaAustralia
- China‐Australia Joint Research Center for Infectious DiseasesSchool of Public HealthXi'an Jiaotong University Health Science CenterShaanxiChina
| | | | | | - Weiming Tang
- Social Entrepreneurship to Spur Health GlobalGuangzhouChina
- Institute for Global Health and Infectious DiseasesUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
- Department of EpidemiologyUniversity of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Nicky Suwandi
- Asia‐Pacific Coalition on Male Sexual HealthBangkokThailand
| | | | - Timothy Dobbins
- School of Population Health, UNSWSydneyNew South WalesAustralia
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Putri WCWS, Ulandari LPS, Valerie IC, Prabowo BR, Hardiawan D, Sihaloho ED, Relaksana R, Wardhani BDK, Harjana NPA, Nugrahani NW, Siregar AYM, Januraga PP. Costs and scale-up costs of community-based Oral HIV Self-Testing for female sex workers and men who have sex with men in Jakarta and Bali, Indonesia. BMC Health Serv Res 2024; 24:114. [PMID: 38254186 PMCID: PMC10802071 DOI: 10.1186/s12913-024-10577-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND The proportion of individuals who know their HIV status in Indonesia (66% in 2021) still remains far below the first 95% of UNAIDS 2030 target and were much lower in certain Key Populations (KPs) particularly Female Sex Workers (FSW) and Male having Sex with Male (MSM). Indonesia has implemented Oral HIV Self-testing (oral HIVST) through Community-based screening (HIV CBS) in addition to other testing modalities aimed at hard-to-reach KPs, but the implementation cost is still not analysed. This study provides the cost and scale up cost estimation of HIV CBS in Jakarta and Bali, Indonesia. METHODS We estimated the societal cost of HIV CBS that was implemented through NGOs. The HIV CBS's total and unit cost were estimated from HIV CBS outcome, health care system cost and client costs. Cost data were presented by input, KPs and areas. Health care system cost inputs were categorized into capital and recurrent cost both in start-up and implementation phases. Client costs were categorized as direct medical, direct non-medical cost and indirect costs. Sensitivity and scenario analyses for scale up were performed. RESULTS In total, 5350 and 1401 oral HIVST test kits were distributed for HIV CBS in Jakarta and Bali, respectively. Average total client cost for HIV CBS Self testing process ranged from US$1.9 to US$12.2 for 1 day and US$2.02 to US$33.61 for 2 days process. Average total client cost for HIV CBS confirmation test ranged from US$2.83 to US$18.01. From Societal Perspective, the cost per HIVST kit distributed were US$98.59 and US$40.37 for FSW and MSM in Jakarta andUS$35.26 and US$43.31 for FSW and MSM in Bali. CONCLUSIONS CBS using oral HIVST approach varied widely along with characteristics of HIV CBS volume and cost. HIV CBS was most costly among FSW in Jakarta, attributed to the low HIV CBS volume, high personnel salary cost and client cost. Future approaches to minimize cost and/or maximize testing coverage could include unpaid community led distribution to reach end-users, integrating HIVST into routine clinical services via direct or secondary distribution and using social media network.
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Affiliation(s)
- Wayan Citra Wulan Sucipta Putri
- Department of Public Health and Preventive Medicine, Faculty of Medicine, Udayana University, Jl. P. B. Sudirman, Denpasar, Bali, 80232, Indonesia.
| | - Luh Putu Sinthya Ulandari
- Department of Public Health and Preventive Medicine, Faculty of Medicine, Udayana University, Jl. P. B. Sudirman, Denpasar, Bali, 80232, Indonesia
| | - Ivy Cerelia Valerie
- Center for Public Health Innovation (CPHI), Udayana University, Denpasar, Bali, Indonesia
| | | | - Donny Hardiawan
- Center for Economics and Development Studies (CEDS), Department of Economics, Faculty of Economics and Business, Universitas Padjadjaran, Bandung, West Java, Indonesia
| | - Estro Dariatno Sihaloho
- Center for Economics and Development Studies (CEDS), Department of Economics, Faculty of Economics and Business, Universitas Padjadjaran, Bandung, West Java, Indonesia
| | - Riki Relaksana
- Center for Economics and Development Studies (CEDS), Department of Economics, Faculty of Economics and Business, Universitas Padjadjaran, Bandung, West Java, Indonesia
| | | | | | - Nur Wulan Nugrahani
- Center for Public Health Innovation (CPHI), Udayana University, Denpasar, Bali, Indonesia
| | - Adiatma Yudistira Manogar Siregar
- Center for Economics and Development Studies (CEDS), Department of Economics, Faculty of Economics and Business, Universitas Padjadjaran, Bandung, West Java, Indonesia
| | - Pande Putu Januraga
- Center for Public Health Innovation (CPHI), Udayana University, Denpasar, Bali, Indonesia
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