Holzer Roman, Werner Fabian, Behrens Meinolf, Volkery Carsten, Brinkmann Christian
Department of Preventive and Rehabilitative Sport Medicine, Institute of Cardiovascular Research and Sport Medicine, German Sport University Cologne, 50933 Cologne, Germany.
Diabeteszentrum Minden, 32427 Minden, Germany.
J Diabetes Metab Disord. 2022 May 3;21(1):623-629. doi: 10.1007/s40200-022-01024-0. eCollection 2022 Jun.
The aim of this survey is to investigate T1DM patients' expectations for and requirements of an ideal mobile self-management app with a special focus on functions for sports and exercise.
A total of 251 persons participated in the survey. After checking for completeness and plausibility, the answers of 167 patients diagnosed with T1DM (66% female, 34% male) were analyzed.
The key features/aspects that were identified as being "rather important"/"very important" by more than 75% of respondents are: data security (96.4%), integration of further health data (e.g., heart rate, step count, calories) from other apps already installed on their smartphone (92.2%), automatic import of glucose data from other apps (91.6%), individual target setting (87.4%), warnings about abnormal glucose levels (82.6%), warnings about other abnormal health data (81.4%), diary function (80.8%), information on the training session after the workout (80.8%) and displaying/processing of further fitness variables (such as heart rate, step count, etc.) from other health-related wearable systems (77.8%).
This study identifies the most relevant features of an ideal self-management app with functions for sports and exercise targeted at patients with T1DM that should be considered in the development of such an app.
本次调查旨在研究1型糖尿病患者对理想的移动自我管理应用程序的期望和要求,特别关注运动和锻炼功能。
共有251人参与了此次调查。在检查完整性和合理性之后,对167名被诊断为1型糖尿病的患者(66%为女性,34%为男性)的回答进行了分析。
超过75%的受访者认为“相当重要”/“非常重要”的关键特征/方面包括:数据安全(96.4%)、整合智能手机上已安装的其他应用程序中的进一步健康数据(如心率、步数、卡路里)(92.2%)、从其他应用程序自动导入血糖数据(91.6%)、个性化目标设定(87.4%)、血糖水平异常警告(82.6%)、其他健康数据异常警告(81.4%)、日记功能(80.8%)、锻炼后训练课程信息(80.8%)以及显示/处理来自其他健康相关可穿戴系统的进一步健身变量(如心率、步数等)(77.8%)。
本研究确定了一款针对1型糖尿病患者的具有运动和锻炼功能的理想自我管理应用程序的最相关特征,在开发此类应用程序时应予以考虑。