Exploring the diagnostic accuracy of an HIV self-test optimized by a digital app-based solution: Results from a secondary data analysis of a field trial in South Africa.

PLOS digital health Pub Date : 2025-04-08 eCollection Date: 2025-04-01 DOI:10.1371/journal.pdig.0000791
Ashlyn Beecroft, Aliasgar Esmail, Olivia Vaikla, Thomas Duchaine, Nora Engel, Chen Liang, Qihuang Zhang, Keertan Dheda, Nitika Pant Pai
{"title":"Exploring the diagnostic accuracy of an HIV self-test optimized by a digital app-based solution: Results from a secondary data analysis of a field trial in South Africa.","authors":"Ashlyn Beecroft, Aliasgar Esmail, Olivia Vaikla, Thomas Duchaine, Nora Engel, Chen Liang, Qihuang Zhang, Keertan Dheda, Nitika Pant Pai","doi":"10.1371/journal.pdig.0000791","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>To reach UNAIDS 95-95-95 targets, digital HIV self-testing (HIVST) strategy aided by applications, platforms, and readers can engage young people and adults living with undetected HIV infection. Evidence on its acceptability, feasibility, impact exists, yet accuracy data are limited.</p><p><strong>Methods: </strong>A secondary data analysis of a quasi-RCT of digital HIVST in South Africa was performed. We hypothesized app-guided digital interpretation of oral self-test enhanced test accuracy. We compared accuracy between digital HIVST supervised vs. unsupervised (with/without healthcare worker). Self-test results were interpreted and uploaded by participants, compared using computer vision technology, against lab reference standard by trained healthcare professionals.</p><p><strong>Results: </strong>1513 digital HIVST participants reported pooled Sensitivity (Sn) = 95.52% (95% CI, 94.48%-96.56%); Specificity (Sp): 99.93% (95% CI, 99.79%-100.06%); Positive predictive value (PPV): 99.22% (95% CI, 98.78%-99.67%); Negative Predictive Value (NPV): 99.57% (95% CI, 99.24%-99.90%). 565 participants on supervised digital HIVST, reported a pooled Sn: 93.65% (95% CI, 91.64-95.66); Sp: 100.00% (95% CI, 100.00-100.00); PPV: 100.00% (95% CI, 100.00-100.00); NPV: 99.21% (95% CI, 98.48-99.94). 968 unsupervised digital HIVST participants, reported a pooled Sn: 97.18% (95% CI, 96.13-98.24); Sp: 99.89% (95% CI, 99.67-100.10); PPV: 98.57% (95% CI, 97.82-99.33); NPV: 99.77% (95% CI, 99.47-100.08). Non-digital HIVST vs. study digital HIVST data at 5% significance level - Sn: chi = 0.6495, p-value = 0.4203, Sp: chi = 0.3831, p-value = 0.5259. Supervised vs. unsupervised HIVST at 5% significance level - Sn: chi = 0.973, p-value = 0.3237, Sp: chi = 0.527, p-value = 0.4449.</p><p><strong>Conclusions: </strong>Digital HIVST improved interpretation of test results, increased accuracy and predictive value estimations (upper limit 98%-100%), removing subjectivity. Unsupervised digital HIVST users performed better than supervised. Digital HIVST results can potentially signal a rapid triage to therapy or prevention pathways, while awaiting lab confirmation. Findings have implications for scale up of digital HIVST initiatives in global settings.</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"4 4","pages":"e0000791"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLOS digital health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1371/journal.pdig.0000791","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: To reach UNAIDS 95-95-95 targets, digital HIV self-testing (HIVST) strategy aided by applications, platforms, and readers can engage young people and adults living with undetected HIV infection. Evidence on its acceptability, feasibility, impact exists, yet accuracy data are limited.

Methods: A secondary data analysis of a quasi-RCT of digital HIVST in South Africa was performed. We hypothesized app-guided digital interpretation of oral self-test enhanced test accuracy. We compared accuracy between digital HIVST supervised vs. unsupervised (with/without healthcare worker). Self-test results were interpreted and uploaded by participants, compared using computer vision technology, against lab reference standard by trained healthcare professionals.

Results: 1513 digital HIVST participants reported pooled Sensitivity (Sn) = 95.52% (95% CI, 94.48%-96.56%); Specificity (Sp): 99.93% (95% CI, 99.79%-100.06%); Positive predictive value (PPV): 99.22% (95% CI, 98.78%-99.67%); Negative Predictive Value (NPV): 99.57% (95% CI, 99.24%-99.90%). 565 participants on supervised digital HIVST, reported a pooled Sn: 93.65% (95% CI, 91.64-95.66); Sp: 100.00% (95% CI, 100.00-100.00); PPV: 100.00% (95% CI, 100.00-100.00); NPV: 99.21% (95% CI, 98.48-99.94). 968 unsupervised digital HIVST participants, reported a pooled Sn: 97.18% (95% CI, 96.13-98.24); Sp: 99.89% (95% CI, 99.67-100.10); PPV: 98.57% (95% CI, 97.82-99.33); NPV: 99.77% (95% CI, 99.47-100.08). Non-digital HIVST vs. study digital HIVST data at 5% significance level - Sn: chi = 0.6495, p-value = 0.4203, Sp: chi = 0.3831, p-value = 0.5259. Supervised vs. unsupervised HIVST at 5% significance level - Sn: chi = 0.973, p-value = 0.3237, Sp: chi = 0.527, p-value = 0.4449.

Conclusions: Digital HIVST improved interpretation of test results, increased accuracy and predictive value estimations (upper limit 98%-100%), removing subjectivity. Unsupervised digital HIVST users performed better than supervised. Digital HIVST results can potentially signal a rapid triage to therapy or prevention pathways, while awaiting lab confirmation. Findings have implications for scale up of digital HIVST initiatives in global settings.

背景:为实现联合国艾滋病规划署 95-95-95 目标,借助应用程序、平台和阅读器的数字艾滋病病毒自我检测(HIVST)策略可以让未被发现感染艾滋病病毒的年轻人和成年人参与进来。有关其可接受性、可行性和影响的证据已经存在,但准确性数据有限:我们对南非的一项数字 HIVST 准 RCT 进行了二次数据分析。我们假设在应用程序指导下对口腔自我检测进行数字解读可提高检测的准确性。我们比较了数字 HIVST 有监督与无监督(有/无医护人员)之间的准确性。自测结果由参与者解释并上传,由经过培训的医护人员利用计算机视觉技术与实验室参考标准进行比较:1513 名数字 HIVST 参与者的汇总灵敏度 (Sn) = 95.52% (95% CI, 94.48%-96.56%); 特异性 (Sp): 99.93% (95% CI, 99.79%-100.06%); 阳性预测值 (PPV):99.22% (95% CI, 98.78%-99.67%); 阴性预测值 (NPV):99.57%(95% CI,99.24%-99.90%)。565 名参与者接受了有监督的数字 HIVST,报告的汇总 Sn:93.65%(95% CI,91.64-95.66);Sp:100.00%(95% CI,100.00-100.00);PPV:100.00%(95% CI,100.00-100.00);NPV:99.21%(95% CI,98.48-99.94)。968 名未接受监督的数字化 HIVST 参与者报告的汇总 Sn:97.18%(95% CI,96.13-98.24);Sp:99.89%(95% CI,99.67-100.10);PPV:98.57%(95% CI,97.82-99.33);NPV:99.77%(95% CI,99.47-100.08)。非数字 HIVST 与研究数字 HIVST 数据在 5%显著性水平 - Sn:chi = 0.6495,p-value = 0.4203,Sp:chi = 0.3831,p-value = 0.5259。在 5%的显著性水平上,有监督 HIVST 与无监督 HIVST 的比较 - Sn:chi = 0.973,p 值 = 0.3237,Sp:chi = 0.527,p 值 = 0.4449.结论:数字 HIVST 改进了对检测结果的解释,提高了准确性和预测值估计(上限为 98%-100%),消除了主观性。无监督数字 HIVST 用户的表现优于有监督用户。在等待实验室确认的过程中,数字 HIVST 检测结果有可能成为快速分流治疗或预防途径的信号。研究结果对在全球范围内推广数字 HIVST 计划具有重要意义。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信