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数字健康技术用于骨质疏松症的长期自我管理:系统评价和荟萃分析。

Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis.

机构信息

Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.

Healthcare Innovation Center, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.

出版信息

JMIR Mhealth Uhealth. 2022 Apr 21;10(4):e32557. doi: 10.2196/32557.

Abstract

BACKGROUND

Osteoporosis is the fourth most common chronic disease worldwide. The adoption of preventative measures and effective self-management interventions can help improve bone health. Mobile health (mHealth) technologies can play a key role in the care and self-management of patients with osteoporosis.

OBJECTIVE

This study presents a systematic review and meta-analysis of the currently available mHealth apps targeting osteoporosis self-management, aiming to determine the current status, gaps, and challenges that future research could address, as well as propose appropriate recommendations.

METHODS

A systematic review of all English articles was conducted, in addition to a survey of all apps available in iOS and Android app stores as of May 2021. A comprehensive literature search (2010 to May 2021) of PubMed, Scopus, EBSCO, Web of Science, and IEEE Xplore was conducted. Articles were included if they described apps dedicated to or useful for osteoporosis (targeting self-management, nutrition, physical activity, and risk assessment) delivered on smartphone devices for adults aged ≥18 years. Of the 32 articles, a random effects meta-analysis was performed on 13 (41%) studies of randomized controlled trials, whereas the 19 (59%) remaining studies were only included in the narrative synthesis as they did not provide enough data.

RESULTS

In total, 3906 unique articles were identified. Of these 3906 articles, 32 (0.81%) articles met the inclusion criteria and were reviewed in depth. The 32 studies comprised 14,235 participants, of whom, on average, 69.5% (n=9893) were female, with a mean age of 49.8 (SD 17.8) years. The app search identified 23 relevant apps for osteoporosis self-management. The meta-analysis revealed that mHealth-supported interventions resulted in a significant reduction in pain (Hedges g -1.09, 95% CI -1.68 to -0.45) and disability (Hedges g -0.77, 95% CI -1.59 to 0.05). The posttreatment effect of the digital intervention was significant for physical function (Hedges g 2.54, 95% CI -4.08 to 4.08) but nonsignificant for well-being (Hedges g 0.17, 95% CI -1.84 to 2.17), physical activity (Hedges g 0.09, 95% CI -0.59 to 0.50), anxiety (Hedges g -0.29, 95% CI -6.11 to 5.53), fatigue (Hedges g -0.34, 95% CI -5.84 to 5.16), calcium (Hedges g -0.05, 95% CI -0.59 to 0.50), vitamin D intake (Hedges g 0.10, 95% CI -4.05 to 4.26), and trabecular score (Hedges g 0.06, 95% CI -1.00 to 1.12).

CONCLUSIONS

Osteoporosis apps have the potential to support and improve the management of the disease and its symptoms; they also appear to be valuable tools for patients and health professionals. However, most of the apps that are currently available lack clinically validated evidence of their efficacy and focus on a limited number of symptoms. A more holistic and personalized approach within a cocreation design ecosystem is needed.

TRIAL REGISTRATION

PROSPERO 2021 CRD42021269399; https://tinyurl.com/2sw454a9.

摘要

背景

骨质疏松症是全球第四大常见慢性疾病。采取预防措施和有效的自我管理干预措施有助于改善骨骼健康。移动医疗(mHealth)技术在骨质疏松症患者的护理和自我管理中可以发挥关键作用。

目的

本研究对目前针对骨质疏松症自我管理的 mHealth 应用程序进行了系统评价和荟萃分析,旨在确定当前的状况、差距和未来研究可以解决的挑战,并提出适当的建议。

方法

对所有英语文章进行系统评价,并对截至 2021 年 5 月 iOS 和 Android 应用商店中所有应用程序进行调查。对 PubMed、Scopus、EBSCO、Web of Science 和 IEEE Xplore 进行了全面的文献检索(2010 年至 2021 年 5 月)。如果文章描述的是专门针对或有益于智能手机设备上年龄≥18 岁成年人的骨质疏松症(针对自我管理、营养、身体活动和风险评估)的应用程序,则将其纳入研究。在 32 篇文章中,对 13 项(41%)随机对照试验研究进行了随机效应荟萃分析,而其余 19 项(59%)研究仅纳入叙述性综合分析,因为它们没有提供足够的数据。

结果

共确定了 3906 篇独特的文章。在这 3906 篇文章中,有 32 篇(0.81%)文章符合纳入标准并进行了深入审查。这 32 项研究共纳入 14235 名参与者,其中,平均 69.5%(n=9893)为女性,平均年龄为 49.8(SD 17.8)岁。应用程序搜索确定了 23 种针对骨质疏松症自我管理的相关应用程序。荟萃分析显示,mHealth 支持的干预措施可显著减轻疼痛(Hedges g -1.09,95% CI -1.68 至 -0.45)和残疾(Hedges g -0.77,95% CI -1.59 至 0.05)。数字干预的治疗后效果对身体功能(Hedges g 2.54,95% CI -4.08 至 4.08)具有显著意义,但对幸福感(Hedges g 0.17,95% CI -1.84 至 2.17)、身体活动(Hedges g 0.09,95% CI -0.59 至 0.50)、焦虑(Hedges g -0.29,95% CI -6.11 至 5.53)、疲劳(Hedges g -0.34,95% CI -5.84 至 5.16)、钙(Hedges g -0.05,95% CI -0.59 至 0.50)、维生素 D 摄入量(Hedges g 0.10,95% CI -4.05 至 4.26)和小梁评分(Hedges g 0.06,95% CI -1.00 至 1.12)没有显著意义。

结论

骨质疏松症应用程序具有支持和改善疾病及其症状管理的潜力;它们似乎也是患者和医疗保健专业人员的有价值工具。然而,目前大多数可用的应用程序缺乏对其疗效的临床验证证据,并且仅关注有限数量的症状。需要在共创设计生态系统中采用更全面和个性化的方法。

试验注册

PROSPERO 2021 CRD42021269399;https://tinyurl.com/2sw454a9.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebd8/9073608/e5d74b282263/mhealth_v10i4e32557_fig1.jpg

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