Becker Stefan, Brandl Christopher, Meister Sven, Nagel Eckhard, Miron-Shatz Talya, Mitchell Anna, Kribben Andreas, Albrecht Urs-Vito, Mertens Alexander
Department of Nephrology, University Duisburg-Essen, Essen, Germany; Institute for Drug Safety, University Hospital Essen, Essen, Germany.
Institute of Industrial Engineering and Ergonomics of RWTH Aachen University, Aachen, Germany.
PLoS One. 2015 Jan 28;10(1):e0116980. doi: 10.1371/journal.pone.0116980. eCollection 2015.
A wealth of mobile applications are designed to support users in their drug intake. When developing software for patients, it is important to understand the differences between individuals who have, who will or who might never adopt mobile interventions. This study analyzes demographic and health-related factors associated with real-life "longer usage" and the "usage-intensity per day" of the mobile application "Medication Plan".
Between 2010-2012, the mobile application "Medication Plan" could be downloaded free of charge from the Apple-App-Store. It was aimed at supporting the regular and correct intake of medication. Demographic and health-related data were collected via an online questionnaire. This study analyzed captured data.
App-related activities of 1799 users (1708 complete data sets) were recorded. 69% (1183/1708) applied "Medication Plan" for more than a day. 74% were male (872/1183), the median age 45 years. Variance analysis showed a significant effect of the users' age with respect to duration of usage (p = 0.025). While the mean duration of use was only 23.3 days for users younger than 21 years, for older users, there was a substantial increase over all age cohorts up to users of 60 years and above (103.9 days). Sex and educational status had no effect. "Daily usage intensity" was directly associated with an increasing number of prescribed medications and increased from an average of 1.87 uses per day and 1 drug per day to on average 3.71 uses per day for users stating to be taking more than 7 different drugs a day (p<0.001). Demographic predictors (sex, age and educational attainment) did not affect usage intensity.
Users aged 60+ as well as those with complicated therapeutic drug regimens relied on the service we provided for more than three months on average. Mobile applications may be a promising approach to support the treatment of patients with chronic conditions.
大量移动应用程序旨在帮助用户服药。在为患者开发软件时,了解已经采用、即将采用或可能永远不会采用移动干预措施的个体之间的差异非常重要。本研究分析了与移动应用程序“用药计划”的实际“较长使用时间”和“每日使用强度”相关的人口统计学和健康相关因素。
在2010年至2012年期间,移动应用程序“用药计划”可从苹果应用商店免费下载。其目的是支持定期正确服药。通过在线问卷收集人口统计学和健康相关数据。本研究分析了收集到的数据。
记录了1799名用户(1708个完整数据集)与应用程序相关的活动。69%(1183/1708)的用户使用“用药计划”超过一天。74%为男性(872/1183),年龄中位数为45岁。方差分析显示用户年龄对使用时长有显著影响(p = 0.025)。21岁以下用户的平均使用时长仅为23.3天,而对于年龄较大的用户,在所有年龄组中,直至60岁及以上用户(103.9天),使用时长都有大幅增加。性别和教育程度没有影响。“每日使用强度”与处方药物数量的增加直接相关,对于声称每天服用超过7种不同药物的用户,每日使用强度从平均每天1.87次使用和每天1种药物增加到平均每天3.71次使用(p<0.001)。人口统计学预测因素(性别、年龄和教育程度)不影响使用强度。
60岁及以上的用户以及治疗药物方案复杂的用户平均依赖我们提供的服务超过三个月。移动应用程序可能是支持慢性病患者治疗的一种有前景的方法。