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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

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
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
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.
2633-5565
Kenning, Cassandra
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Bower, Peter
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Small, Nicola
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Ali, Syed Mustafa
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Brown, Benjamin
ee043075-d16f-490b-964e-e2bd97d764d8
Dempsey, Katherine
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Mackey, Elaine
255f4de6-35a0-49ae-bc2d-527196e1e638
McMillan, Brian
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Sanders, Caroline
1121a9ec-e719-489a-9ffd-ae8cb6e49a78
Serafimova, Ilina
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Van der Veer, Sabine N.
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Dixon, William G.
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McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
Kenning, Cassandra
f3c4bb48-a2f1-4358-be35-eb6b6603c40a
Bower, Peter
ec553157-a170-4219-8b55-2df813846e44
Small, Nicola
d7558988-49a2-4fce-9782-d07a86127657
Ali, Syed Mustafa
684b2fd7-0f78-40c7-9085-ff633aaa68e9
Brown, Benjamin
ee043075-d16f-490b-964e-e2bd97d764d8
Dempsey, Katherine
a8707c6f-d7ba-4e64-9553-88784b852923
Mackey, Elaine
255f4de6-35a0-49ae-bc2d-527196e1e638
McMillan, Brian
3b5a272c-06e2-43fc-852a-070a62001a52
Sanders, Caroline
1121a9ec-e719-489a-9ffd-ae8cb6e49a78
Serafimova, Ilina
a86b7bc8-461d-4d08-bc44-af2c1a5cd3be
Van der Veer, Sabine N.
34f20db8-f374-49cf-b1ed-b02b639a9f01
Dixon, William G.
8fcb2256-4094-4f58-9777-4248ad245166
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61

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. and McBeth, John (2024) 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. Journal of Multimorbidity and Comorbidity, 14. (doi:10.1177/26335565231220202).

Record type: Article

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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e-pub ahead of print date: 10 January 2024
Published date: 10 January 2024

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Local EPrints ID: 492341
URI: http://eprints.soton.ac.uk/id/eprint/492341
ISSN: 2633-5565
PURE UUID: aadb464b-fdd1-4c78-93a4-fff726133c7f
ORCID for John McBeth: ORCID iD orcid.org/0000-0001-7047-2183

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Date deposited: 24 Jul 2024 16:39
Last modified: 14 Dec 2024 03:13

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Contributors

Author: Cassandra Kenning
Author: Peter Bower
Author: Nicola Small
Author: Syed Mustafa Ali
Author: Benjamin Brown
Author: Katherine Dempsey
Author: Elaine Mackey
Author: Brian McMillan
Author: Caroline Sanders
Author: Ilina Serafimova
Author: Sabine N. Van der Veer
Author: William G. Dixon
Author: John McBeth ORCID iD

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