Broken Hill University Department of Rural Health, University of Sydney, Broken Hill, Australia.
Rural Clinical School, The University of Adelaide, Adelaide, Australia.
JMIR Mhealth Uhealth. 2019 Jan 22;7(1):e10978. doi: 10.2196/10978.
Injury surveillance and workload monitoring are important aspects of professional sports, including cricket. However, at the community level, there is a dearth of accessible and intelligent surveillance tools. Mobile apps are an accessible tool for monitoring cricket-related injuries at all levels.
The objective of this paper is to share the novel methods associated with the development of the free TeamDoc app and provide evidence from an evaluation of the user experience and perception of the app regarding its functionality, utility, and design.
TeamDoc mobile app for Android and Apple smartphones was developed using 3 languages: C++, Qt Modeling Language, and JavaScript. For the server-side connectivity, Hypertext Preprocessor (PHP) was used as it is a commonly used cross-platform language. PHP includes components that interact with popular database management systems, allowing for secure interaction with databases on a server level. The app was evaluated by administrating a modified user version of the Mobile App Rating Scale (uMARS; maximum score: 5).
TeamDoc is the first complementary, standalone mobile app that records cricket injuries through a smartphone. It can also record cricketing workloads, which is a known risk factor for injury. The app can be used without the need for supplementary computer devices for synchronization. The uMARS scores showed user satisfaction (overall mean score 3.6 [SD 0.5]), which demonstrates its acceptability by cricketers.
Electronic injury surveillance systems have been shown to improve data collection during competitive sports. Therefore, TeamDoc may assist in improving injury reporting and may also act as a monitoring system for coaching staff to adjust individual training workloads. The methods described in this paper provide a template for researchers to develop similar apps for other sports.
伤病情监测和工作量监测是职业运动的重要组成部分，包括板球。然而，在社区层面，缺乏可用的智能监测工具。移动应用程序是监测各级板球相关伤害的便捷工具。
本文旨在分享开发免费 TeamDoc 应用程序相关的新方法，并提供关于该应用程序功能、实用性和设计的用户体验和感知评估的证据。
使用 3 种语言（C++、Qt 建模语言和 JavaScript）开发了适用于 Android 和 Apple 智能手机的 TeamDoc 移动应用程序。对于服务器端连接，使用了超文本预处理器（PHP），因为它是一种常用的跨平台语言。PHP 包括与流行的数据库管理系统交互的组件，允许在服务器级别安全地与数据库交互。通过管理移动应用程序评级量表（uMARS；最高得分为 5）的修改后的用户版本对 TeamDoc 进行了评估。
TeamDoc 是第一款通过智能手机记录板球伤害的补充性独立移动应用程序。它还可以记录板球工作量，这是受伤的已知风险因素。该应用程序可以在不需要额外计算机设备进行同步的情况下使用。uMARS 得分显示用户满意度（总体平均得分为 3.6[SD 0.5]），表明其被板球运动员接受。
电子伤病情监测系统已被证明可以提高竞技运动中的数据收集。因此，TeamDoc 可能有助于改善伤病情报告，也可以作为教练团队的监测系统，以调整个人训练工作量。本文中描述的方法为研究人员为其他运动开发类似应用程序提供了模板。
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