Presenting and evaluating a smartwatch-based intervention for smoking relapse (StopWatch): feasibility and acceptability study
Presenting and evaluating a smartwatch-based intervention for smoking relapse (StopWatch): feasibility and acceptability study
Background: despite the benefits of smoking cessation, maintaining abstinence during a quit attempt is difficult, and most attempts result in relapse. Innovative, evidence-based methods of preventing relapse are needed. We present a smartwatch-based relapse prevention system that uses passive detection of smoking to trigger just-in-time smoking cessation support.
Objective: this study aims to evaluate the feasibility of hosting just-in-time smoking cessation support on a smartwatch and the acceptability of the “StopWatch” intervention on this platform.
Methods: the person-based approach for intervention development was used to design the StopWatch smoking relapse prevention intervention. Intervention delivery was triggered by an algorithm identifying hand movements characteristic of smoking from the smartwatch’s motion sensors, and the system-generated intervention messages (co-designed by smokers) were delivered on the smartwatch screen. A total of 18 smokers tested the intervention over a 2-week period, and at the end of this period, they provided qualitative feedback on the acceptability of both the intervention and the smartwatch platform.
Results: participants reported that the smartwatch intervention increased their awareness of smoking and motivated them to quit. System-generated intervention messages were generally felt to be relevant and timely. There were some challenges with battery life that had implications for intervention adherence, and the bulkiness of the device and the notification style reduced some participants’ acceptability of the smartwatch platform.
Conclusions: our findings indicate our smoking relapse prevention intervention and the use of a smartwatch as a platform to host a just-in-time behavior change intervention are both feasible and acceptable to most (12/18, 66%) participants as a relapse prevention intervention, but we identify some concerns around the physical limitations of the smartwatch device. In particular, the bulkiness of the device and the battery capacity present risks to adherence to the intervention and the potential for missed detections. We recommend that a longer-term efficacy trial be carried out as the next step.
JITAI, just-in-time intervention, mHealth, mobile health, mobile phone, passive detection, relapse, relapse prevention, smartwatch, smoking, smoking cessation, wearable, wearable technology
Stone, Chris
93ff5e85-3655-46b1-b422-4247df18f03b
Essery, Rosie
6bf53e81-577f-4a95-ba45-11aa64d1ee53
Matthews, Joe
ea5f35c2-e6d7-4ae5-8416-63bc2dc24fef
Naughton, Felix
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Munafo, Marcus
a815b5c6-5bd7-488e-a1bf-0068c932a844
Attwood, Angela
32b03d9a-1026-4037-aef9-12fdbb2927be
Skinner, Andy
f6b4a6e2-37d6-4d04-86c7-82dda83be834
21 November 2024
Stone, Chris
93ff5e85-3655-46b1-b422-4247df18f03b
Essery, Rosie
6bf53e81-577f-4a95-ba45-11aa64d1ee53
Matthews, Joe
ea5f35c2-e6d7-4ae5-8416-63bc2dc24fef
Naughton, Felix
0122ac6c-a42a-4d7e-aef7-36a640a622f7
Munafo, Marcus
a815b5c6-5bd7-488e-a1bf-0068c932a844
Attwood, Angela
32b03d9a-1026-4037-aef9-12fdbb2927be
Skinner, Andy
f6b4a6e2-37d6-4d04-86c7-82dda83be834
Stone, Chris, Essery, Rosie, Matthews, Joe, Naughton, Felix, Munafo, Marcus, Attwood, Angela and Skinner, Andy
(2024)
Presenting and evaluating a smartwatch-based intervention for smoking relapse (StopWatch): feasibility and acceptability study.
JMIR Formative Research, 8, [e56999].
(doi:10.2196/56999).
Abstract
Background: despite the benefits of smoking cessation, maintaining abstinence during a quit attempt is difficult, and most attempts result in relapse. Innovative, evidence-based methods of preventing relapse are needed. We present a smartwatch-based relapse prevention system that uses passive detection of smoking to trigger just-in-time smoking cessation support.
Objective: this study aims to evaluate the feasibility of hosting just-in-time smoking cessation support on a smartwatch and the acceptability of the “StopWatch” intervention on this platform.
Methods: the person-based approach for intervention development was used to design the StopWatch smoking relapse prevention intervention. Intervention delivery was triggered by an algorithm identifying hand movements characteristic of smoking from the smartwatch’s motion sensors, and the system-generated intervention messages (co-designed by smokers) were delivered on the smartwatch screen. A total of 18 smokers tested the intervention over a 2-week period, and at the end of this period, they provided qualitative feedback on the acceptability of both the intervention and the smartwatch platform.
Results: participants reported that the smartwatch intervention increased their awareness of smoking and motivated them to quit. System-generated intervention messages were generally felt to be relevant and timely. There were some challenges with battery life that had implications for intervention adherence, and the bulkiness of the device and the notification style reduced some participants’ acceptability of the smartwatch platform.
Conclusions: our findings indicate our smoking relapse prevention intervention and the use of a smartwatch as a platform to host a just-in-time behavior change intervention are both feasible and acceptable to most (12/18, 66%) participants as a relapse prevention intervention, but we identify some concerns around the physical limitations of the smartwatch device. In particular, the bulkiness of the device and the battery capacity present risks to adherence to the intervention and the potential for missed detections. We recommend that a longer-term efficacy trial be carried out as the next step.
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formative-2024-1-e56999
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More information
Accepted/In Press date: 10 October 2024
Published date: 21 November 2024
Keywords:
JITAI, just-in-time intervention, mHealth, mobile health, mobile phone, passive detection, relapse, relapse prevention, smartwatch, smoking, smoking cessation, wearable, wearable technology
Identifiers
Local EPrints ID: 497112
URI: http://eprints.soton.ac.uk/id/eprint/497112
PURE UUID: 456ba09b-1a78-45c7-b23d-adffce99581a
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Date deposited: 14 Jan 2025 17:36
Last modified: 15 Jan 2025 02:50
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Contributors
Author:
Chris Stone
Author:
Joe Matthews
Author:
Felix Naughton
Author:
Marcus Munafo
Author:
Angela Attwood
Author:
Andy Skinner
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