Kenning Cassandra, Bower Peter, Small Nicola, Ali Syed Mustafa, Brown Benjamin, Dempsey Katherine, Mackey Elaine, McMillan Brian, Sanders Caroline, Serafimova Ilina, Van der Veer Sabine N, Dixon William G, McBeth John
Centre for Primary Care and Health Services Research, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Centre for Epidemiology Versus Arthritis, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, UK.
J Multimorb Comorb. 2024 Jan 10;14:26335565231220202. doi: 10.1177/26335565231220202. eCollection 2024 Jan-Dec.
Long-term conditions are a major burden on health systems. One way to facilitate more research and better clinical care among patients with long-term conditions is to collect accurate data on their daily symptoms (patient-generated health data) using wearable technologies. Whilst evidence is growing for the use of wearable technologies in single conditions, there is less evidence of the utility of frequent symptom tracking in those who have more than one condition.
To explore patient views of the acceptability of collecting daily patient-generated health data for three months using a smartwatch app.
Watch Your Steps was a longitudinal study which recruited 53 patients to track over 20 symptoms per day for a 90-day period using a study app on smartwatches. Semi-structured interviews were conducted with a sub-sample of 20 participants to explore their experience of engaging with the app.
In a population of older people with multimorbidity, patients were willing and able to engage with a patient-generated health data app on a smartwatch. It was suggested that to maintain engagement over a longer period, more 'real-time' feedback from the app should be available. Participants did not seem to consider the management of more than one condition to be a factor in either engagement or use of the app, but the presence of severe or chronic pain was at times a barrier.
This study has provided preliminary evidence that multimorbidity was not a major barrier to engagement with patient-generated health data via a smartwatch symptom tracking app.
慢性病是卫生系统的一项重大负担。促进慢性病患者开展更多研究并提供更好临床护理的一种方法是使用可穿戴技术收集有关其日常症状的准确数据(患者生成的健康数据)。虽然有越来越多的证据表明可穿戴技术在单一疾病中的应用,但对于患有多种疾病的患者频繁进行症状跟踪的效用,证据较少。
探讨患者对于使用智能手表应用程序连续三个月收集日常患者生成的健康数据的可接受性的看法。
“关注你的步数”是一项纵向研究,招募了53名患者,使用智能手表上的研究应用程序,在90天内每天跟踪20多种症状。对20名参与者的子样本进行了半结构化访谈,以探讨他们使用该应用程序的体验。
在患有多种疾病的老年人群体中,患者愿意且能够使用智能手表上的患者生成的健康数据应用程序。有人建议,为了在更长时间内保持参与度,该应用程序应提供更多“实时”反馈。参与者似乎并不认为患有多种疾病是参与或使用该应用程序的一个因素,但严重或慢性疼痛有时会成为障碍。
本研究提供了初步证据,表明患有多种疾病并非通过智能手表症状跟踪应用程序参与患者生成的健康数据的主要障碍。