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脊髓损伤的自我管理支持应用程序:在应用商店中的系统搜索结果及移动应用评分量表评估

Self-Management Support Apps for Spinal Cord Injury: Results of a Systematic Search in App Stores and Mobile App Rating Scale Evaluation.

作者信息

Bernard Renaldo M, Seijas Vanessa, Davis Micheal, Volkova Anel, Diviani Nicola, Lüscher Janina, Sabariego Carla

机构信息

Swiss Paraplegic Research, Nottwil, Switzerland.

Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland.

出版信息

JMIR Mhealth Uhealth. 2024 Dec 19;12:e53677. doi: 10.2196/53677.

Abstract

BACKGROUND

The use of mobile technology to meet health needs, widely referred to as mobile health (mHealth), has played a critical role in providing self-management support for chronic health conditions. However, despite its potential benefits, mHealth technologies such as self-management support apps for spinal cord injury (SCI) have received little research attention, and an understanding of their public availability is lacking. Therefore, an overview of these apps is needed to complement findings from the literature for a complete understanding of mHealth self-management support tools for SCI to support the selection and improvement of existing apps and the development of new ones.

OBJECTIVE

This study aimed to identify and describe quantity, quality, focus, strengths, and weaknesses of self-management support apps for SCI available on major mobile app digital distribution platforms.

METHODS

A systematic search of the Google Play Store and Apple App Store was conducted to identify and summarize apps for SCI that have been updated since 2017. A supplementary systematic literature review was conducted across 11 bibliographic databases to identify publications that provided more detailed descriptions of the identified apps than what is typically available in app stores. The data synthesis was guided by self-management tasks and skills taxonomies. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines informed the reporting.

RESULTS

The 13 apps included in the final synthesis were launched between 2013 and 2021, mostly originating in the United States, with availability in 72 countries and support for 14 languages. Most apps used the Android operating system (10/13, 77%), while 31% (4/13) used iOS. The identified apps mainly focused on activities of daily living, physical activity promotion, health literacy, and therapeutic exercise. All 3 self-management tasks (medical, role, and emotional management) and most self-management skills and support activities were supported by the apps. The mean Mobile App Rating Scale score was 3.86 (SD 0.54), indicating good overall quality. No publications were found describing these apps.

CONCLUSIONS

Despite their good overall quality, as measured by the Mobile App Rating Scale assessment, the 13 identified apps, alone or combined, do not appear to offer a comprehensive self-management approach that incorporates theory-based strategies. Besides working to improve comprehensiveness, future research and practice should consider adopting new technologies, such as artificial intelligence, to enhance future self-management support apps for SCI. Furthermore, adopting new app development methods, such as low-code development platforms, could help reduce barriers to development, such as time, cost, and securing scarce expertise.

摘要

背景

利用移动技术满足健康需求,即广泛提及的移动健康(mHealth),在为慢性健康状况提供自我管理支持方面发挥了关键作用。然而,尽管其具有潜在益处,但诸如脊髓损伤(SCI)自我管理支持应用程序等移动健康技术却很少受到研究关注,且对其公众可获取性缺乏了解。因此,需要对这些应用程序进行概述,以补充文献研究结果,从而全面了解用于脊髓损伤的移动健康自我管理支持工具,为现有应用程序的选择与改进以及新应用程序的开发提供支持。

目的

本研究旨在识别并描述主要移动应用数字分发平台上可用的脊髓损伤自我管理支持应用程序的数量、质量、重点、优势及劣势。

方法

对谷歌应用商店和苹果应用商店进行系统搜索,以识别并汇总自2017年以来更新的脊髓损伤应用程序。对11个文献数据库进行补充系统文献综述,以识别那些提供了比应用商店中通常提供的更详细的已识别应用程序描述的出版物。数据综合以自我管理任务和技能分类法为指导。报告遵循PRISMA(系统评价和Meta分析的首选报告项目)指南。

结果

最终综合纳入的13个应用程序于2013年至2021年推出,大多起源于美国,在72个国家可用,支持14种语言。大多数应用程序使用安卓操作系统(13个中的10个,77%),而31%(13个中的4个)使用iOS。已识别的应用程序主要侧重于日常生活活动、身体活动促进、健康素养和治疗性锻炼。所有3项自我管理任务(医疗、角色和情绪管理)以及大多数自我管理技能和支持活动均得到这些应用程序的支持。移动应用评分量表的平均得分是3.86(标准差0.54),表明总体质量良好。未发现描述这些应用程序的出版物。

结论

尽管根据移动应用评分量表评估其总体质量良好,但所识别的这13个应用程序,单独或综合起来,似乎都未提供一种包含基于理论策略的全面自我管理方法。除努力提高全面性外,未来的研究和实践应考虑采用新技术,如人工智能,以增强未来用于脊髓损伤的自我管理支持应用程序。此外,采用新的应用程序开发方法,如低代码开发平台,有助于减少开发障碍,如时间、成本和获取稀缺专业知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b743/11695972/cdeaae1f5999/mhealth_v12i1e53677_fig1.jpg

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