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Engagement and participant experiences with consumer smartwatches for health research: longitudinal, observational feasibility study

Engagement and participant experiences with consumer smartwatches for health research: longitudinal, observational feasibility study
Engagement and participant experiences with consumer smartwatches for health research: longitudinal, observational feasibility study
Background: wearables provide opportunities for frequent health data collection and symptom monitoring. The feasibility of using consumer cellular smartwatches to provide information both on symptoms and contemporary sensor data has not yet been investigated.

Objective: this study aimed to investigate the feasibility and acceptability of using cellular smartwatches to capture multiple patient-reported outcomes per day alongside continuous physical activity data over a 3-month period in people living with knee osteoarthritis (OA).

Methods: for the KOALAP (Knee OsteoArthritis: Linking Activity and Pain) study, a novel cellular smartwatch app for health data collection was developed. Participants (age ≥50 years; self-diagnosed knee OA) received a smartwatch (Huawei Watch 2) with the KOALAP app. When worn, the watch collected sensor data and prompted participants to self-report outcomes multiple times per day. Participants were invited for a baseline and follow-up interview to discuss their motivations and experiences. Engagement with the watch was measured using daily watch wear time and the percentage completion of watch questions. Interview transcripts were analyzed using grounded thematic analysis.

Results: a total of 26 people participated in the study. Good use and engagement were observed over 3 months: most participants wore the watch on 75% (68/90) of days or more, for a median of 11 hours. The number of active participants declined over the study duration, especially in the final week. Among participants who remained active, neither watch time nor question completion percentage declined over time. Participants were mainly motivated to learn about their symptoms and enjoyed the self-tracking aspects of the watch. Barriers to full engagement were battery life limitations, technical problems, and unfulfilled expectations of the watch. Participants reported that they would have liked to report symptoms more than 4 or 5 times per day.

Conclusions: this study shows that capture of patient-reported outcomes multiple times per day with linked sensor data from a smartwatch is feasible over at least a 3-month period.

International Registered Report Identifier (IRRID): RR2-10.2196/10238
2291-5222
Beukenhorst, Anna L.
1b1be652-59a9-4331-933b-37c0dc6c8db9
Howells, Kelly
a0281c91-9a20-4e2d-bedc-139dc04dad9d
Cook, Louise
d582445f-cc55-4748-a103-22806309e054
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
O'Neill, Terence W.
d7396fa9-14be-42e9-80d9-4a857f77309e
Parkes, Matthew J.
9aa7bc70-94e7-4e5f-8f93-e839a94f6145
Sanders, Caroline
ff100891-2d1e-4429-8df3-54181a6b6c6a
Sergeant, Jamie C.
12663aff-2633-432e-a8c4-bedfbe1a35a6
Weihrich, Katy S.
22832cb8-752e-4a3d-90a1-dbe2eeb4477a
Dixon, William G.
8fcb2256-4094-4f58-9777-4248ad245166
Beukenhorst, Anna L.
1b1be652-59a9-4331-933b-37c0dc6c8db9
Howells, Kelly
a0281c91-9a20-4e2d-bedc-139dc04dad9d
Cook, Louise
d582445f-cc55-4748-a103-22806309e054
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
O'Neill, Terence W.
d7396fa9-14be-42e9-80d9-4a857f77309e
Parkes, Matthew J.
9aa7bc70-94e7-4e5f-8f93-e839a94f6145
Sanders, Caroline
ff100891-2d1e-4429-8df3-54181a6b6c6a
Sergeant, Jamie C.
12663aff-2633-432e-a8c4-bedfbe1a35a6
Weihrich, Katy S.
22832cb8-752e-4a3d-90a1-dbe2eeb4477a
Dixon, William G.
8fcb2256-4094-4f58-9777-4248ad245166

Beukenhorst, Anna L., Howells, Kelly, Cook, Louise, McBeth, John, O'Neill, Terence W., Parkes, Matthew J., Sanders, Caroline, Sergeant, Jamie C., Weihrich, Katy S. and Dixon, William G. (2020) Engagement and participant experiences with consumer smartwatches for health research: longitudinal, observational feasibility study. JMIR mHealth and uHealth, 8 (1), [e14368]. (doi:10.2196/14368).

Record type: Article

Abstract

Background: wearables provide opportunities for frequent health data collection and symptom monitoring. The feasibility of using consumer cellular smartwatches to provide information both on symptoms and contemporary sensor data has not yet been investigated.

Objective: this study aimed to investigate the feasibility and acceptability of using cellular smartwatches to capture multiple patient-reported outcomes per day alongside continuous physical activity data over a 3-month period in people living with knee osteoarthritis (OA).

Methods: for the KOALAP (Knee OsteoArthritis: Linking Activity and Pain) study, a novel cellular smartwatch app for health data collection was developed. Participants (age ≥50 years; self-diagnosed knee OA) received a smartwatch (Huawei Watch 2) with the KOALAP app. When worn, the watch collected sensor data and prompted participants to self-report outcomes multiple times per day. Participants were invited for a baseline and follow-up interview to discuss their motivations and experiences. Engagement with the watch was measured using daily watch wear time and the percentage completion of watch questions. Interview transcripts were analyzed using grounded thematic analysis.

Results: a total of 26 people participated in the study. Good use and engagement were observed over 3 months: most participants wore the watch on 75% (68/90) of days or more, for a median of 11 hours. The number of active participants declined over the study duration, especially in the final week. Among participants who remained active, neither watch time nor question completion percentage declined over time. Participants were mainly motivated to learn about their symptoms and enjoyed the self-tracking aspects of the watch. Barriers to full engagement were battery life limitations, technical problems, and unfulfilled expectations of the watch. Participants reported that they would have liked to report symptoms more than 4 or 5 times per day.

Conclusions: this study shows that capture of patient-reported outcomes multiple times per day with linked sensor data from a smartwatch is feasible over at least a 3-month period.

International Registered Report Identifier (IRRID): RR2-10.2196/10238

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Accepted/In Press date: 22 October 2019
Published date: 29 January 2020

Identifiers

Local EPrints ID: 491537
URI: http://eprints.soton.ac.uk/id/eprint/491537
ISSN: 2291-5222
PURE UUID: 1cc51ea3-afb9-4c17-806a-5d6b195c04a9
ORCID for John McBeth: ORCID iD orcid.org/0000-0001-7047-2183

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Date deposited: 25 Jun 2024 17:08
Last modified: 12 Jul 2024 02:17

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Contributors

Author: Anna L. Beukenhorst
Author: Kelly Howells
Author: Louise Cook
Author: John McBeth ORCID iD
Author: Terence W. O'Neill
Author: Matthew J. Parkes
Author: Caroline Sanders
Author: Jamie C. Sergeant
Author: Katy S. Weihrich
Author: William G. Dixon

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