Department of Medical Informatics, School of Medicine, Nantong University, Nantong 226001, China.
Department of Hand Surgery, Affiliated Hospital of Nantong University, Nantong 226001, China.
Comput Math Methods Med. 2020 Sep 29;2020:7613569. doi: 10.1155/2020/7613569. eCollection 2020.
To systematically analyze the existing intelligent rehabilitation mobile applications (APPs) related to distal radius fracture (DRF) and evaluate their features and characteristics, so as to help doctors and patients to make evidence-based choice for appropriate intelligent-assisted rehabilitation.
Literatures which in regard to the intelligent rehabilitation tools of DRF were systematic retrieved from the PubMed, the Cochrane library, Wan Fang, and VIP Data. The effective APPs were systematically screened out through the APP markets of iOS and Android mobile platform, and the functional characteristics of different APPs were evaluated and analyzed.
A total of 8 literatures and 31 APPs were included, which were divided into four categories: intelligent intervention, angle measurement, intelligent monitoring, and auxiliary rehabilitation games. These APPs provide support for the patients' home rehabilitation guidance and training and make up for the high cost and space limitations of traditional rehabilitation methods. The intelligent intervention category has the largest download ratio in the APP market. Angle measurement tools help DRF patients to measure the joint angle autonomously to judge the degree of rehabilitation, which is the most concentrated type of literature research. Some of the APPs and tools have obtained good clinical verification. However, due to the restrictions of cost, geographic authority, and applicable population, a large number of APPs still lack effective evidence to support popularization.
Patients with DRF could draw support from different kinds of APPs in order to fulfill personal need and promote self-management. Intelligent rehabilitation APPs play a positive role in the rehabilitation of patients, but the acceptance of the utilization for intelligent rehabilitation APPs is relatively low, which might need follow-up research to address the conundrum.
系统分析现有的与桡骨远端骨折（DRF）相关的智能康复移动应用程序（APP），评估其功能特点，为临床医生和患者提供选择合适智能辅助康复的依据。
系统检索 PubMed、Cochrane 图书馆、万方和 VIP 数据中关于 DRF 智能康复工具的文献，通过 iOS 和 Android 移动平台的 APP 市场筛选出有效的 APP，评估和分析不同 APP 的功能特点。
共纳入 8 篇文献和 31 个 APP，分为智能干预、角度测量、智能监测和辅助康复游戏 4 类，为患者的居家康复指导和训练提供支持，弥补了传统康复方法成本高、空间限制的不足。智能干预类 APP 在 APP 市场中下载比例最大。角度测量工具帮助 DRF 患者自主测量关节角度，判断康复程度，是文献研究最集中的类型。部分 APP 和工具已获得良好的临床验证。但由于成本、地域权威和适用人群的限制，大量 APP 仍缺乏有效证据支持推广。
DRF 患者可以根据个人需求选择不同类型的 APP 以获得支持，促进自我管理。智能康复 APP 在患者康复中发挥积极作用，但智能康复 APP 的利用率相对较低，可能需要进一步研究来解决这一难题。
