School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia
Institute for Musculoskeletal Health, School of Public Health, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.
BMJ Open. 2020 Jan 15;10(1):e031200. doi: 10.1136/bmjopen-2019-031200.
Between 20% and 28% of community-dwelling older people experience a fall each year. Falls can result in significant personal and socioeconomic costs, and are the leading cause of admission to hospital for an older person in Australia. Exercise interventions that target balance are the most effective for preventing falls in community-dwellers; however, greater accessibility of effective programmes is needed. As technology has become more accessible, its use as a tool for supporting and promoting health and well-being of individuals has been explored. Little is known about the effectiveness of eHealth technologies to deliver fall prevention interventions. This protocol describes a systematic review with meta-analysis that aims to evaluate the effect of eHealth fall prevention interventions compared with usual care control on balance in people aged 65 years and older living in the community.
We will perform a systematic search of the following electronic databases: MEDLINE, CINAHL Complete, Embase and PsychINFO and citation search of Scopus, Web of Science, PubMed Central, Cochrane Database Central and PEDro for randomised controlled trials that use an eHealth technology to deliver a fall prevention intervention to community-dwellers aged ≥65 years, that are published in English, and include a balance outcome (primary outcome). The screening and selection of articles for review will be undertaken by two independent reviewers. The PEDro scale and Grading of Recommendations, Assessment, Development and Evaluations will be used to assess study quality. The results will be synthesised descriptively, and if sufficient data are available and the studies are not overly heterogeneous, a meta-analysis will be conducted using the random effects model.
As this will be a systematic review, without involvement of human participants, there will be no requirement for ethical approval. The results of this systematic review will be disseminated through peer-reviewed publications, conference presentations and dissemination to policymakers and consumers to maximise health impact.
CRD42018115098.
每年有 20%至 28%的社区居住老年人经历跌倒。跌倒会导致重大的个人和社会经济成本,是澳大利亚老年人住院的主要原因。针对平衡的运动干预措施对预防社区居住者跌倒最有效;然而,需要更大程度地普及有效的方案。随着技术变得更加普及,人们已经探索了将其作为支持和促进个人健康和福祉的工具的用途。对于电子健康技术在预防跌倒干预中的有效性知之甚少。本方案描述了一项系统评价,旨在评估与常规护理对照相比,电子健康预防跌倒干预对社区居住的 65 岁及以上人群平衡的影响。
我们将对以下电子数据库进行系统检索:MEDLINE、CINAHL Complete、Embase 和 PsychINFO,以及 Scopus、Web of Science、PubMed Central、Cochrane Database Central 和 PEDro 的引文搜索,以查找使用电子健康技术向≥65 岁社区居住者提供预防跌倒干预的随机对照试验,这些试验以英文发表,并包含平衡结果(主要结局)。文章审查的筛选和选择将由两名独立评审员进行。PEDro 量表和推荐、评估、开发和评估分级将用于评估研究质量。结果将进行描述性综合,并且如果有足够的数据且研究没有过度异质性,将使用随机效应模型进行荟萃分析。
由于这将是一项系统评价,不涉及人类参与者,因此不需要伦理批准。这项系统评价的结果将通过同行评议出版物、会议演讲和向政策制定者和消费者传播来传播,以最大限度地提高健康影响。
PROSPERO 注册号:CRD42018115098。