Otaka Eri, Oguchi Kazuyo, Kondo Izumi, Otaka Yohei
Assistive Robot Center, National Center for Geriatrics and Gerontology, Obu, Japan.
Department of Rehabilitation Medicine, Kariya Toyota General Hospital, Kariya, Japan.
Front Rehabil Sci. 2021 Dec 2;2:752727. doi: 10.3389/fresc.2021.752727. eCollection 2021.
A self-monitoring approach utilizing fitness trackers that provide feedback regarding physical activities has been recently applied to rehabilitation patients to promote voluntary walking activities. Although this approach has been proven to increase physical activity, it is uncertain whether the intervention improves walking ability. This review investigated whether the additional self-monitoring approach using activity trackers would improve walking ability in any type of rehabilitation setting. A systematic search was performed in four databases [PubMed (MEDLINE), The Cochrane Library, SPORTDiscus, and Cumulative Index to Nursing and Allied Health Literature] to identify studies that examined the self-monitoring approach combined with rehabilitative intervention vs. the same rehabilitative intervention only in participants with any unhealthy conditions. Two review authors independently assessed the eligibility of all the retrieved English literature published from 2009 to 2019, then discussed the final inclusion. The risk of bias was assessed referring to the criteria of the Cochrane Risk of Bias tool. The key findings were synthesized using narrative synthesis. In addition, a quantitative synthesis was conducted when more than two studies investigating the same disease were identified. Eleven randomized controlled trials satisfied the eligibility criteria, nine of which had a lower risk of bias. The types of diseases included stroke, chronic obstructive pulmonary disease (COPD), cancer, Parkinson's disease, hemophilia, peripheral artery disease, post-total knee arthroplasty, and geriatric rehabilitation. Eight studies reported measures of walking endurance and four reported measures of gait speed. In the quantitative synthesis of two studies investigating COPD, there was a significant between-group difference in terms of changes in the 6-min walking distance from the baseline, which was favorable to the additional self-monitoring intervention group (mean difference: 13.1 m; 95% confidence interval, 1.8-24.5; 2 studies, 124 participants; = 0.02; = 0%). Other available data revealed no consistent evidence regarding effectiveness of the intervention. The findings indicate that there is little evidence suggesting the effectiveness of the self-monitoring approach in improving walking ability in rehabilitation settings. However, a weak recommendation for patients with stable COPD was implicated in the quantitative synthesis. Further research would be required to explore the best indications for this self-monitoring approach. CRD 42020157695.
一种利用健身追踪器提供身体活动反馈的自我监测方法最近已应用于康复患者,以促进自主步行活动。尽管这种方法已被证明能增加身体活动,但尚不确定该干预措施是否能提高步行能力。本综述调查了使用活动追踪器的额外自我监测方法在任何类型的康复环境中是否能提高步行能力。在四个数据库[PubMed(MEDLINE)、考克兰图书馆、SPORTDiscus和护理学与健康相关文献累积索引]中进行了系统检索,以确定研究自我监测方法与康复干预相结合对比仅进行相同康复干预的研究,研究对象为患有任何不健康状况的参与者。两位综述作者独立评估了2009年至2019年发表的所有检索到的英文文献的 eligibility,然后讨论最终纳入情况。根据考克兰偏倚风险工具的标准评估偏倚风险。关键发现采用叙述性综合法进行综合。此外,当识别出两项以上调查同一疾病的研究时,进行了定量综合。十一项随机对照试验符合 eligibility 标准,其中九项偏倚风险较低。疾病类型包括中风、慢性阻塞性肺疾病(COPD)、癌症、帕金森病、血友病、外周动脉疾病、全膝关节置换术后以及老年康复。八项研究报告了步行耐力的测量指标,四项研究报告了步速的测量指标。在对两项调查COPD的研究进行的定量综合中,从基线开始的6分钟步行距离变化方面存在显著的组间差异,这有利于额外的自我监测干预组(平均差异:13.1米;95%置信区间,1.8 - 24.5;两项研究,124名参与者;P = 0.02;I² = 0%)。其他现有数据未显示关于该干预措施有效性的一致证据。研究结果表明,几乎没有证据表明自我监测方法在康复环境中提高步行能力方面有效。然而,定量综合中对稳定COPD患者有微弱的推荐。需要进一步研究以探索这种自我监测方法的最佳适应症。CRD 42020157695。 (注:原文中“eligibility”未准确翻译,根据语境推测可能是“纳入标准”之类的意思,但需结合完整背景进一步确定,这里保留原文以待准确理解。)