{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T02:58:38Z","timestamp":1791514718508,"version":"4.3.4"},"reference-count":39,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T00:00:00Z","timestamp":1659657600000},"content-version":"vor","delay-in-days":4,"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":[[2022,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>As the range of effective HIV prevention options, including multiple biomedical tools, increases, there are many challenges to measuring HIV prevention efforts. In part, there is the challenge of varying prevention needs, between individuals as well as within individuals over time. The field of contraception faces many similar challenges, such as the range of prevention methods and changing contraceptive needs, and has developed many metrics for assessing contraceptive use at the program level, using frameworks that move beyond the HIV prevention cascade. We explore these similarities and differences between these two prevention fields and then discuss how each of these contraceptive metrics could be adapted to assessing HIV prevention.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>We examined measures of initiation, coverage and persistence. Among measures of initiation, HIV Prevention\u2013Post Testing would be a useful corollary to Contraceptive Use\u2013Post Partum for a subset of the population. As a measure of coverage, both Net Prevention Coverage and HIV Protection Index (modelled off the Contraception Protection Index) may be useful. Finally, as a measure of persistence, Person\u2010Years of HIV Protection could be adapted from Couple\u2010Years Protection. As in contraception, most programs will not reach 100% on HIV prevention metrics but these metrics are highly useful for making comparisons.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>While we may not be able to perfectly capture the true population of who would benefit from HIV prevention, by building off the work of the contraceptive field to use and refine these metrics, we can assess and compare HIV prevention over time and across programs. Furthermore, these metrics can help us reach global targets, such as the 2025 UNAIDS Goals, and reduce HIV incidence.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jia2.25958","type":"journal-article","created":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T07:46:25Z","timestamp":1659685585000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["HIV prevention metrics: lessons to be learned from contraception"],"prefix":"10.1002","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1783-0943","authenticated-orcid":false,"given":"Maria","family":"Pyra","sequence":"first","affiliation":[{"name":"University of Chicago Chicago Illinois USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renee","family":"Heffron","sequence":"additional","affiliation":[{"name":"University of Washington Seattle Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jessica E.","family":"Haberer","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James","family":"Kiarie","sequence":"additional","affiliation":[{"name":"World Health Organization Geneva Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,8,5]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2352-3018(18)30327-8"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/jia2.25537"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1097\/QAI.0000000000002274"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1097\/QAI.0000000000002611"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10461-020-02988-x"},{"issue":"3","key":"e_1_2_7_7_1","doi-asserted-by":"crossref","DOI":"10.1002\/jia2.25502","article-title":"HIV risk, risk perception, and PrEP interest among adolescent girls and young women in Lilongwe, Malawi: operationalizing the PrEP cascade","volume":"23","author":"Hill LM","year":"2020","journal-title":"J Int AIDS Soc"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10508-019-01470-7"},{"issue":"3","key":"e_1_2_7_9_1","doi-asserted-by":"crossref","DOI":"10.1002\/jia2.25527","article-title":"Impact along the HIV pre\u2010exposure prophylaxis \u201ccascade of prevention\u201d in western Kenya: a mathematical modelling study","volume":"23","author":"Bershteyn A","year":"2020","journal-title":"J Int AIDS Soc"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1097\/QAI.0000000000002613"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2352-3018(16)30039-X"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2352-3018(16)30063-7"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2352-3018(16)30062-5"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1097\/QAD.0000000000000647"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1097\/COH.0000000000000221"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1002\/jia2.25370"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/cid\/cit085"},{"key":"e_1_2_7_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.contraception.2018.05.006"},{"key":"e_1_2_7_19_1","unstructured":"UNAIDS.Prevailing against pandemics by putting people at the centre.2020. 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