{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T18:14:10Z","timestamp":1790964850196,"version":"4.1.0"},"reference-count":45,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T00:00:00Z","timestamp":1722556800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100014013","name":"UK Research and Innovation","doi-asserted-by":"publisher","award":["MR\/T041900\/1"],"award-info":[{"award-number":["MR\/T041900\/1"]}],"id":[{"id":"10.13039\/100014013","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Tropical Med Int Health"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Female genital schistosomiasis is a chronic gynaecological disease caused by the waterborne parasite <jats:italic>Schistosoma<\/jats:italic> (<jats:italic>S.<\/jats:italic>) <jats:italic>haematobium.<\/jats:italic> It affects an estimated 30\u201356 million girls and women globally, mostly in sub\u2010Saharan Africa where it is endemic, and negatively impacts their sexual and reproductive life. Recent studies found evidence of an association between female genital schistosomiasis and increased prevalence of HIV and cervical precancer lesions. Despite the large population at risk, the burden and impact of female genital schistosomiasis are scarcely documented, resulting in neglect and insufficient resource allocation. There is currently no standardised method for individual or population\u2010based female genital schistosomiasis screening and diagnosis which hinders accurate assessment of disease burden in endemic countries. To optimise financial allocations for female genital schistosomiasis screening, it is necessary to explore the cost\u2010effectiveness of different strategies by combining cost and impact estimates. Yet, no economic evaluation has explored the value for money of alternative screening methods. This paper describes a novel application of health decision analytical modelling to evaluate the cost\u2010effectiveness of different female genital schistosomiasis screening strategies across endemic settings. The model combines a decision tree for female genital schistosomiasis screening strategies, and a Markov model for the natural history of cervical cancer to estimate the cost per disability\u2010adjusted life\u2010years averted for different screening strategies, stratified by HIV status. It is a starting point for discussion and for supporting priority setting in a data\u2010sparse environment.<\/jats:p>","DOI":"10.1111\/tmi.14040","type":"journal-article","created":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T04:13:55Z","timestamp":1722658435000},"page":"859-868","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A health decision analytical model to evaluate the cost\u2010effectiveness of female genital schistosomiasis screening strategies: The female genital schistosomiasis <scp>SCREEN<\/scp> framework"],"prefix":"10.1111","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-6650-6124","authenticated-orcid":false,"given":"Olimpia","family":"Lamberti","sequence":"first","affiliation":[{"name":"Department of Clinical Research London School of Hygiene and Tropical Medicine  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1693-5196","authenticated-orcid":false,"given":"Fern","family":"Terris\u2010Prestholt","sequence":"additional","affiliation":[{"name":"Department of Global Health and Development London School of Hygiene and Tropical Medicine  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6131-4159","authenticated-orcid":false,"given":"Amaya L.","family":"Bustinduy","sequence":"additional","affiliation":[{"name":"Department of Clinical Research London School of Hygiene and Tropical Medicine  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9518-6885","authenticated-orcid":false,"given":"Fiammetta","family":"Bozzani","sequence":"additional","affiliation":[{"name":"Department of Global Health and Development London School of Hygiene and Tropical Medicine  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,8,2]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/bs.apar.2021.12.003"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.actatropica.2020.105524"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pt.2011.10.008"},{"key":"e_1_2_13_5_1","doi-asserted-by":"publisher","DOI":"10.1080\/26410397.2023.2262882"},{"key":"e_1_2_13_6_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0008337"},{"key":"e_1_2_13_7_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12879-021-06380-5"},{"key":"e_1_2_13_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.actatropica.2020.105363"},{"key":"e_1_2_13_9_1","first-page":"14","article-title":"Visual diagnosis of female genital schistosomiasis in Zambian women from hand\u2010held colposcopy: agreement of expert image review","volume":"8","author":"Sturt A","year":"2023","journal-title":"Wellcome Open Res."},{"key":"e_1_2_13_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/bmb\/ldad034"},{"key":"e_1_2_13_11_1","volume-title":"WHO guideline on control and elimination of human schistosomiasis","year":"2022"},{"key":"e_1_2_13_12_1","volume-title":"The 2030 agenda and the sustainable development goals an opportunity for Latin America and the Caribbean","year":"2018"},{"key":"e_1_2_13_13_1","first-page":"445","volume-title":"Methods for the economic evaluation of health care programmes","author":"Drummond M","year":"2015"},{"key":"e_1_2_13_14_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.318.7197.1551"},{"key":"e_1_2_13_15_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2021.722927"},{"key":"e_1_2_13_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.actatropica.2013.12.001"},{"key":"e_1_2_13_17_1","volume-title":"Global burden of disease study 2019 (GBD 2019)","author":"Global Burden of Disease Collaborative Network","year":"2020"},{"key":"e_1_2_13_18_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12913-019-4627-7"},{"key":"e_1_2_13_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ypmed.2021.106438"},{"key":"e_1_2_13_20_1","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198526629.001.0001"},{"key":"e_1_2_13_21_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.d1766"},{"key":"e_1_2_13_22_1","unstructured":"York Health Economics Consortium.Markov Model.2016https:\/\/yhec.co.uk\/glossary\/markov-model\/. 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