Cost-effectiveness of implementing HIV and HIV/syphilis dual testing among key populations in Viet Nam: a modelling analysis Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.1136/bmjopen-2021-056887
Objectives Key populations, including sex workers, men who have sex with men, and people who inject drugs, have a high risk of HIV and sexually transmitted infections. We assessed the health and economic impacts of different HIV and syphilis testing strategies among three key populations in Viet Nam using a dual HIV/syphilis rapid diagnostic test (RDT). Setting We used the spectrum AIDS impact model to simulate the HIV epidemic in Viet Nam and evaluated five testing scenarios among key populations. We used a 15-year time horizon and a provider perspective for costs. Participants We simulate the entire population of Viet Nam in the model. Interventions We modelled five testing scenarios among key populations: (1) annual testing with an HIV RDT, (2) annual testing with a dual RDT, (3) biannual testing using dual RDT and HIV RDT, (4) biannual testing using HIV RDT and (5) biannual testing using dual RDT. Primary and secondary outcome measures The primary outcome is incremental cost-effectiveness ratios. Secondary outcomes include HIV and syphilis cases. Results Annual testing using a dual HIV/syphilis RDT was cost-effective (US$10 per disability-adjusted life year (DALY)) and averted 3206 HIV cases and treated 27 727 syphilis cases compared with baseline over 15 years. Biannual testing using one dual test and one HIV RDT (US$1166 per DALY), or two dual tests (US$5672 per DALY) both averted an additional 875 HIV cases, although only the former scenario was cost-effective. Annual or biannual HIV testing using HIV RDTs and separate syphilis tests were more costly and less effective than using one or two dual RDTs. Conclusions Annual HIV and syphilis testing using dual RDT among key populations is cost-effective in Vietnam and similar settings to reach global reduction goals for HIV and syphilis.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/bmjopen-2021-056887
- https://bmjopen.bmj.com/content/bmjopen/12/8/e056887.full.pdf
- OA Status
- gold
- Cited By
- 19
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4291923171
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4291923171Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1136/bmjopen-2021-056887Digital Object Identifier
- Title
-
Cost-effectiveness of implementing HIV and HIV/syphilis dual testing among key populations in Viet Nam: a modelling analysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-01Full publication date if available
- Authors
-
David Coomes, Dylan Green, Ruanne V. Barnabas, Monisha Sharma, Magdalena Barr‐DiChiara, Muhammad S. Jamil, Rachel Baggaley, Morkor Newman Owiredu, Virginia Macdonald, Van Thi Thuy Nguyen, Son H Vo, Melanie Taylor, Teodora Wi, Cheryl Johnson, Alison L. DrakeList of authors in order
- Landing page
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https://doi.org/10.1136/bmjopen-2021-056887Publisher landing page
- PDF URL
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https://bmjopen.bmj.com/content/bmjopen/12/8/e056887.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://bmjopen.bmj.com/content/bmjopen/12/8/e056887.full.pdfDirect OA link when available
- Concepts
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Syphilis, Medicine, Men who have sex with men, Population, Demography, Cost effectiveness, Human immunodeficiency virus (HIV), Public health, Viet nam, Environmental health, Immunology, Risk analysis (engineering), Nursing, Economy, Economics, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 13, 2023: 2, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
39Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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