John McBeth
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Articles (12)
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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2024
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2023
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2022
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2022
Collaborators (17)
Katie Druce
Health Solutions
Thomas House
The University of Manchester
Sabine van der Veer
Senior Lecturer
The University of Manchester
Lis Cordingley
The University of Manchester
Anna Gibby
University of Bath
Hannah Sallis
University of Bristol
William Dixon
The University of Manchester
Amber J Guest
University of Aberdeen
David Selby
The University of Manchester
Mark Muldoon
Reader in Applied Mathematics
The University of Manchester
Marcus Beasley
University of Aberdeen
Christopher Eccleston
University of Bath
Benjamin Brown
The University of Manchester
Gary Macfarlane
University of Aberdeen
Edmund Keogh
University of Bath
Syed Mustafa Ali
The University of Manchester
Mark Lunt
Reader in Medical Statistics
The University of Manchester
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