Reaching priority populations with different HIV self-testing distribution models in South Africa: an analysis of programme data.

IF 3 3区 医学 Q2 INFECTIOUS DISEASES BMC Infectious Diseases Pub Date : 2025-02-25 DOI:10.1186/s12879-025-10662-7
Mohammed Majam, Karin Hatzold, Webster Mavhu, Angela Tembo, Vincent Zishiri, Jane Phiri, Donaldson Conserve, Zelalem Haile, Thato Chidarikire, Cheryl C Johnson, Sangiwe Moyo, Gesine Meyer-Rath, Francois Venter
{"title":"Reaching priority populations with different HIV self-testing distribution models in South Africa: an analysis of programme data.","authors":"Mohammed Majam, Karin Hatzold, Webster Mavhu, Angela Tembo, Vincent Zishiri, Jane Phiri, Donaldson Conserve, Zelalem Haile, Thato Chidarikire, Cheryl C Johnson, Sangiwe Moyo, Gesine Meyer-Rath, Francois Venter","doi":"10.1186/s12879-025-10662-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>As in much of sub-Saharan Africa, substantial HIV testing gaps remain in South Africa, particularly among adult men ages 20-35, young people ages 15-24 and key populations. Innovative strategies, such as HIV self-testing (HIVST), are needed to reach such under-served populations. We evaluated a range of HIV self-test kit distribution models' potential to reach adult men, young people and key populations in South Africa, to inform targeted approaches.</p><p><strong>Methods: </strong>This cross-sectional study used data from community and facility-based HIV self-test kit distribution models implemented from October 2017 to April 2020. Self-test kits were distributed as part of the Unitaid-funded Self-Testing AfRica (STAR) programme. Data were collected from individuals who obtained self-test kits through five distribution models. Frequencies and proportions were used to describe the characteristics of the study populations and self-test kit distribution approaches.</p><p><strong>Results: </strong>Over 2.5 years, 1 071 065 self-test kits were distributed across the five models. Community-based distribution accounted for 63% of total kits distributed, while the private sector (primarily workplace) accounted for 26%. Distribution at public sector health facilities accounted for 7% and distribution through the key population and secondary distribution models accounted for 2% each. Of those obtaining kits, and for whom we collected previous testing data (n = 771 612, 72%), 11% had never tested for HIV, 29% had not tested for at least a year, 41% had tested within the last 4-12 months and 19% had tested within the preceding three months. More men (64%) than women obtained self-test kits across all distribution models. The majority (80%) of men obtaining self-test kits were aged 20-40 years, and primarily received these at public transport terminals (36%), workplaces (18%) and hotspots (14%). A small proportion of men was reached through female sex workers.</p><p><strong>Conclusions: </strong>This analysis of programme data enabled us to identify HIV self-test kit distribution models that are best suited to reach specific priority and under-tested populations, particularly adult men and young people. Models/sub-models that reach self-test users where they live, work and spend time, are likely to result in higher HIVST uptake. Study findings can inform future HIVST scale-up in South Africa.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":"22 Suppl 1","pages":"981"},"PeriodicalIF":3.0000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11863391/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Infectious Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12879-025-10662-7","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: As in much of sub-Saharan Africa, substantial HIV testing gaps remain in South Africa, particularly among adult men ages 20-35, young people ages 15-24 and key populations. Innovative strategies, such as HIV self-testing (HIVST), are needed to reach such under-served populations. We evaluated a range of HIV self-test kit distribution models' potential to reach adult men, young people and key populations in South Africa, to inform targeted approaches.

Methods: This cross-sectional study used data from community and facility-based HIV self-test kit distribution models implemented from October 2017 to April 2020. Self-test kits were distributed as part of the Unitaid-funded Self-Testing AfRica (STAR) programme. Data were collected from individuals who obtained self-test kits through five distribution models. Frequencies and proportions were used to describe the characteristics of the study populations and self-test kit distribution approaches.

Results: Over 2.5 years, 1 071 065 self-test kits were distributed across the five models. Community-based distribution accounted for 63% of total kits distributed, while the private sector (primarily workplace) accounted for 26%. Distribution at public sector health facilities accounted for 7% and distribution through the key population and secondary distribution models accounted for 2% each. Of those obtaining kits, and for whom we collected previous testing data (n = 771 612, 72%), 11% had never tested for HIV, 29% had not tested for at least a year, 41% had tested within the last 4-12 months and 19% had tested within the preceding three months. More men (64%) than women obtained self-test kits across all distribution models. The majority (80%) of men obtaining self-test kits were aged 20-40 years, and primarily received these at public transport terminals (36%), workplaces (18%) and hotspots (14%). A small proportion of men was reached through female sex workers.

Conclusions: This analysis of programme data enabled us to identify HIV self-test kit distribution models that are best suited to reach specific priority and under-tested populations, particularly adult men and young people. Models/sub-models that reach self-test users where they live, work and spend time, are likely to result in higher HIVST uptake. Study findings can inform future HIVST scale-up in South Africa.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在南非以不同的艾滋病毒自我检测分布模式覆盖重点人群:对规划数据的分析。
背景:与撒哈拉以南非洲的大部分地区一样,南非的艾滋病毒检测差距仍然很大,特别是在20-35岁的成年男子、15-24岁的年轻人和关键人群中。需要创新战略,例如艾滋病毒自我检测,以覆盖这些服务不足的人群。我们评估了一系列艾滋病毒自检试剂盒分发模式在南非覆盖成年男性、年轻人和关键人群的潜力,从而为有针对性的方法提供信息。方法:本横断面研究使用了2017年10月至2020年4月实施的基于社区和设施的艾滋病毒自检试剂盒分发模型的数据。自检包是作为unitaid资助的非洲自检方案的一部分分发的。通过五种分布模型从获得自检试剂盒的个体中收集数据。使用频率和比例来描述研究人群的特征和自检试剂盒的分布方法。结果:在2.5年的时间里,在五个模型中分发了1 071 065个自检试剂盒。以社区为基础的分发占总分发包的63%,而私营部门(主要是工作场所)占26%。在公共部门卫生设施分发占7%,通过重点人群和二次分发模式分发各占2%。在获得试剂盒并收集以前检测数据的人中(n = 771 612, 72%), 11%从未检测过艾滋病毒,29%至少一年未检测,41%在过去4-12个月内检测,19%在过去3个月内检测。在所有分布模式中,获得自检试剂盒的男性(64%)多于女性。大多数(80%)获得自检包的男性年龄在20-40岁之间,主要在公共交通终点站(36%)、工作场所(18%)和热点地区(14%)获得。只有一小部分男性是通过女性性工作者接触到的。结论:对规划数据的分析使我们能够确定最适合特定重点人群和检测不足人群的艾滋病毒自检试剂盒分发模式,特别是成年男性和年轻人。在自测用户生活、工作和花费时间的地方使用的模型/子模型可能导致更高的艾滋病毒传播感染率。研究结果可以为今后在南非扩大艾滋病毒传播规模提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
BMC Infectious Diseases
BMC Infectious Diseases 医学-传染病学
CiteScore
6.50
自引率
0.00%
发文量
860
审稿时长
3.3 months
期刊介绍: BMC Infectious Diseases is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of infectious and sexually transmitted diseases in humans, as well as related molecular genetics, pathophysiology, and epidemiology.
期刊最新文献
Clinical characteristics and outcomes of Candida tropicalis fungemia in patients with hematologic diseases: a single-center retrospective study in China (2018-2024). Clinical characteristics and factors associated with in-hospital mortality in psoas abscess: a retrospective cohort study from Vietnam. Structured digital health intervention for leprosy awareness: a case study of analyzing public engagement and sentiment in a Sri Lankan leprosy awareness campaign on Facebook. Diversity of third-generation cephalosporin-resistant enterobacterales from human and animal samples obtained in Owerri, Nigeria. Development and validation of clinical phenotypes in sepsis-associated liver injury using multi-algorithm consensus classification: a retrospective cohort study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1