Cloudy with a Chance of Pain: Engagement and Subsequent Attrition of Daily Data Entry in a Smartphone Pilot Study Tracking Weather, Disease Severity, and Physical Activity in Patients With Rheumatoid Arthritis.
Cloudy with a Chance of Pain: Engagement and Subsequent Attrition of Daily Data Entry in a Smartphone Pilot Study Tracking Weather, Disease Severity, and Physical Activity in Patients With Rheumatoid Arthritis.
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DOI：
10.2196/mhealth.6496
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发表时间：
2017-03-24
影响因子：
5
通讯作者：
Dixon WG
中科院分区：
文献类型：
--
作者：
Reade S;Spencer K;Sergeant JC;Sperrin M;Schultz DM;Ainsworth J;Lakshminarayana R;Hellman B;James B;McBeth J;Sanders C;Dixon WG
智能手机拥有量的增加为通过自我报告和被动收集的数据进行流行病学研究提供了重大机会。这项试点研究旨在共同设计一款智能手机应用程序，以评估天气和类风湿关节炎(RA)患者关节疼痛之间的关系，并研究在60天内每天自我报告数据输入的成功情况，以及数据收集的推动因素和障碍。一个患者和公众参与组(n=5)和2个RA患者焦点组(n=9)支持收集自我报告症状的APP的共同设计。另一个单独的“捕获应用程序”被设计用来收集全球定位系统(GPS)和连续的原始加速度计数据，GPS链接提供当地的天气数据。然后，总共招募了20名RA患者，收集了60天的日常数据，并进行了入境和出境访谈。在这些人中，17人借了一部Android智能手机，而3人使用了自己的Android智能手机。在20名患者中，6名(30%)退出了研究：4名因技术挑战，2名因健康原因。在两个月内，平均每天完成条目的比例为68%。65%的患者每周至少输入五次数据。成功参与的原因包括简单的图形用户界面、自动提醒、数据可视化以及渴望为这一易于理解的研究问题做出贡献。继续参与的主要障碍是由于加速计数据捕获应用程序而影响电池寿命。对于一些人来说，成功的参与需要在使用智能手机方面提供持续的支持。这项成功的试点研究表明，使用智能手机进行日常数据收集用于健康研究是可行的，并且在两个月内持续高水平的参与下是可以实现的。这一结果为大规模纵向流行病学研究提供了重要机会。
The increasing ownership of smartphones provides major opportunities for epidemiological research through self-reported and passively collected data. This pilot study aimed to codesign a smartphone app to assess associations between weather and joint pain in patients with rheumatoid arthritis (RA) and to study the success of daily self-reported data entry over a 60-day period and the enablers of and barriers to data collection. A patient and public involvement group (n=5) and 2 focus groups of patients with RA (n=9) supported the codesign of the app collecting self-reported symptoms. A separate “capture app” was designed to collect global positioning system (GPS) and continuous raw accelerometer data, with the GPS-linking providing local weather data. A total of 20 patients with RA were then recruited to collect daily data for 60 days, with entry and exit interviews. Of these, 17 were loaned an Android smartphone, whereas 3 used their own Android smartphones. Of the 20 patients, 6 (30%) withdrew from the study: 4 because of technical challenges and 2 for health reasons. The mean completion of daily entries was 68% over 2 months. Patients entered data at least five times per week 65% of the time. Reasons for successful engagement included a simple graphical user interface, automated reminders, visualization of data, and eagerness to contribute to this easily understood research question. The main barrier to continuing engagement was impaired battery life due to the accelerometer data capture app. For some, successful engagement required ongoing support in using the smartphones. This successful pilot study has demonstrated that daily data collection using smartphones for health research is feasible and achievable with high levels of ongoing engagement over 2 months. This result opens important opportunities for large-scale longitudinal epidemiological research.