Digital HIV self-testing as an exemplar: a perspective on benefits, challenges, and opportunities.

IF 3.9 3区 医学 Q1 PATHOLOGY Expert Review of Molecular Diagnostics Pub Date : 2024-09-25 DOI:10.1080/14737159.2024.2406974
Ashlyn Beecroft, Olivia Vaikla, Nitika Pant Pai
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Abstract

Introduction: Digital human immunodeficiency virus self-testing (HIVST) leverages digital supports, enhancing accessibility, privacy, and early detection of HIV, empowering individuals to manage their HIV status and facilitating timely linkage to care. These advancements contribute to reduced HIV transmission and thereby lead to improved health outcomes.

Areas covered: This perspective examines the current landscape of digital HIVST strategies, highlighting challenges that must be addressed and opportunities that are presented as the field evolves.

Expert opinion: Implementing advances in digital HIVST requires a unified digital network architecture that integrates proven tools (digital supports) within the World Health Organization's One Health Agenda. This includes strategies effective in diverse settings, supported by evolving governance and ethics frameworks that ensure data safety and privacy. Although data on linkages to care are strong, digital HIVST strategies may need further field validation, especially in low-income countries. Key challenges include systems integration, data privacy safeguards, and implementation of proven digital supports. Embracing digital readers, machine learning solutions, chatbots, and wearable solutions can improve outcomes that translate to significant public health benefits in the context of HIV elimination. Investing in digital technologies and integrating digital HIVST into HIV prevention and care programs can enable progress toward UNAIDS elimination targets.

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作为典范的数字艾滋病毒自我检测:从效益、挑战和机遇的角度看问题。
介绍:数字人体免疫缺陷病毒自我检测(HIVST)利用数字支持,提高了可及性、私密性和艾滋病毒的早期检测,增强了个人管理其艾滋病毒感染状况的能力,并促进了与护理的及时联系。这些进步有助于减少艾滋病毒的传播,从而改善健康状况:专家意见:专家观点:要在数字艾滋病检测领域取得进展,就必须建立统一的数字网络架构,在世界卫生组织的 "一个健康议程 "中整合行之有效的工具(数字支持)。这包括在不同环境中行之有效的策略,并得到不断发展的管理和伦理框架的支持,以确保数据安全和隐私。尽管有关护理联系的数据十分有力,但艾滋病毒检测数字策略可能需要进一步的实地验证,尤其是在低收入国家。主要挑战包括系统集成、数据隐私保护和实施经过验证的数字支持。采用数字阅读器、机器学习解决方案、聊天机器人和可穿戴解决方案可以改善结果,从而在消除艾滋病毒的背景下实现显著的公共卫生效益。投资数字技术并将数字艾滋病毒检测技术纳入艾滋病毒预防和护理计划,可以在实现联合国艾滋病规划署的消除目标方面取得进展。
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来源期刊
CiteScore
6.60
自引率
0.00%
发文量
71
审稿时长
1 months
期刊介绍: Expert Review of Molecular Diagnostics (ISSN 1473-7159) publishes expert reviews of the latest advancements in the field of molecular diagnostics including the detection and monitoring of the molecular causes of disease that are being translated into groundbreaking diagnostic and prognostic technologies to be used in the clinical diagnostic setting. Each issue of Expert Review of Molecular Diagnostics contains leading reviews on current and emerging topics relating to molecular diagnostics, subject to a rigorous peer review process; editorials discussing contentious issues in the field; diagnostic profiles featuring independent, expert evaluations of diagnostic tests; meeting reports of recent molecular diagnostics conferences and key paper evaluations featuring assessments of significant, recently published articles from specialists in molecular diagnostic therapy. Expert Review of Molecular Diagnostics provides the forum for reporting the critical advances being made in this ever-expanding field, as well as the major challenges ahead in their clinical implementation. The journal delivers this information in concise, at-a-glance article formats: invaluable to a time-constrained community.
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