Users’ views on the use of a smartwatch app to collect daily symptom data in individuals with multiple long-term conditions (Multimorbidity): A qualitative study

C. Kenning, Peter Bower, Nicola Small, S. M. Ali, Benjamin Brown, Katherine Dempsey, Elaine Mackey, Brian McMillan, Caroline Sanders, Ilina Serafimova, S. N. van der Veer, W. Dixon, John McBeth
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Abstract

Introduction 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. Aims To explore patient views of the acceptability of collecting daily patient-generated health data for three months using a smartwatch app. Methods 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. Results 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. Conclusion 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.
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用户对使用智能手表应用程序收集患有多种长期疾病(多病症)患者的日常症状数据的看法:定性研究
导言:长期病症是医疗系统的一大负担。促进对长期病症患者进行更多研究和提供更好的临床护理的方法之一是利用可穿戴技术收集患者日常症状的准确数据(患者生成的健康数据)。虽然越来越多的证据表明可穿戴技术可用于单一病症,但对于那些患有一种以上病症的患者来说,频繁追踪症状的实用性却证据不足。目的 探讨患者对使用智能手表应用收集患者每日健康数据三个月的接受程度的看法。方法 Watch Your Steps 是一项纵向研究,招募了 53 名患者在 90 天内使用智能手表上的研究应用程序每天跟踪 20 多种症状。对 20 名参与者进行了半结构化访谈,以了解他们使用该应用程序的体验。结果 在患有多种疾病的老年人群体中,患者愿意并能够使用智能手表上由患者生成的健康数据应用程序。有人建议,为了保持更长时间的参与,应提供更多来自应用程序的 "实时 "反馈。参与者似乎并不认为治疗一种以上疾病是影响参与或使用应用程序的因素,但严重或慢性疼痛有时会成为障碍。结论 本研究提供的初步证据表明,多病症并不是通过智能手表症状跟踪应用程序获取患者健康数据的主要障碍。
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Associations of HIV and prevalent type 2 diabetes mellitus in the context of obesity in South Africa. Comparison of the quality of life of comorbid and non-comorbid people living with HIV/AIDS in a Nigerian secondary healthcare facility. Corrigendum to "Eliciting and prioritising determinants of improved care in multimorbidity: A modified online Delphi study". Developing SysteMatic: Prevention, precision and equity by design for people living with multiple long-term conditions. Corrigendum to "Epidemiology and impact of chronic disease multimorbidity in India: a systematic review and meta-analysis".
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