Vanessa Cooper, Jane Clatworthy, Jennifer Whetham, EmERGE Consortium
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Reference lists of relevant papers were also searched. Data on intervention content and evaluation methodology were extracted and appraised by two researchers.</p><p><strong>Results: </strong>41 papers were identified evaluating 28 interventions. The majority of these interventions (n=20, 71%) had a single focus of either improving adherence (n=16), increasing engagement in care (n=3) or supporting smoking cessation (n=1), while just 8 (29%) were more complex self-management interventions, targeting a range of health-related behaviours. Interventions were predominantly delivered through SMS messaging. They significantly impacted on a range of outcomes including adherence, viral load, mental health and social support.</p><p><strong>Conclusion: </strong>Since the last major review of mHealth interventions in HIV, there has been a shift from exploratory acceptability/feasibility studies to impact evaluations. 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引用次数: 97
摘要
背景:自我管理是HIV长期治疗的一个重要方面。移动技术提供了有效提供干预措施以促进艾滋病毒自我管理的潜力。上一次对此类移动医疗干预措施进行全面审查是在2011年。鉴于这一迅速发展的领域,需要对文献进行更新审查。目的:本研究旨在描述和评估当前基于证据的移动健康干预措施,以支持艾滋病毒的自我管理。方法:系统检索8个在线数据库(Medline、Scopus、Embase、PsycINFO、Cochrane、Global Health CAB、IEEE explore、Web of Science),检索描述和评估mHealth HIV自我管理干预措施的论文。检索相关文献的参考文献列表。干预内容和评价方法的数据由两位研究者提取和评价。结果:41篇论文评估了28项干预措施。这些干预措施中的大多数(n=20, 71%)都有一个单一的重点,即提高依从性(n=16),增加参与护理(n=3)或支持戒烟(n=1),而只有8项(29%)是更复杂的自我管理干预措施,针对一系列与健康相关的行为。干预措施主要通过短信传递。它们对一系列结果产生了重大影响,包括依从性、病毒载量、心理健康和社会支持。结论:自上次对移动医疗干预艾滋病毒进行重大审查以来,已经从探索性可接受性/可行性研究转向影响评估。虽然总的来说,这些干预措施对一系列结果产生了影响,但它们的范围通常有限,无法包括艾滋病毒感染者认为需要的许多功能。参与者的动机可能会限制研究结果的普遍性。
mHealth Interventions To Support Self-Management In HIV: A Systematic Review.
Background: Self-management is an important aspect of long-term HIV treatment. Mobile technologies offer the potential to efficiently deliver interventions to facilitate HIV self-management. The last comprehensive review of such mHealth interventions was conducted in 2011. Given the rapidly evolving field, a need was identified for an updated review of the literature.
Objective: The study aimed to describe and evaluate current evidence-based mHealth interventions to support self-management in HIV.
Method: Eight online databases (Medline, Scopus, Embase, PsycINFO, Cochrane, Global Health CAB, IEEE explore, Web of Science) were systematically searched for papers describing and evaluating mHealth HIV self-management interventions. Reference lists of relevant papers were also searched. Data on intervention content and evaluation methodology were extracted and appraised by two researchers.
Results: 41 papers were identified evaluating 28 interventions. The majority of these interventions (n=20, 71%) had a single focus of either improving adherence (n=16), increasing engagement in care (n=3) or supporting smoking cessation (n=1), while just 8 (29%) were more complex self-management interventions, targeting a range of health-related behaviours. Interventions were predominantly delivered through SMS messaging. They significantly impacted on a range of outcomes including adherence, viral load, mental health and social support.
Conclusion: Since the last major review of mHealth interventions in HIV, there has been a shift from exploratory acceptability/feasibility studies to impact evaluations. While overall the interventions impacted on a range of outcomes, they were generally limited in scope, failing to encompass many functions identified as desirable by people living with HIV. Participant incentives may limit the generalizability of findings.