Personalized interventions for behaviour change: a scoping review of just-in-time adaptive interventions
Personalized interventions for behaviour change: a scoping review of just-in-time adaptive interventions
Purpose: examine the development, implementation and evaluation of just-in-time adaptive interventions (JITAIs) in behaviour change and evaluate the quality of intervention reporting.
Methods: a scoping review of JITAIs incorporating mobile health (mHealth) technologies to improve health-related behaviours in adults. We searched MEDLINE, Embase and PsycINFO using terms related to JITAIs, mHealth, behaviour change and intervention methodology. Narrative analysis assessed theoretical foundations, real-time data capturing and processing methods, outcome evaluation and summarized JITAI efficacy. Quality of intervention reporting was assessed using the template for intervention description and replication (TIDieR) checklist.
Results: sixty-two JITAIs across physical activity, sedentary behaviour, dietary behaviour, substance use, sexual behaviour, fluid intake, treatment adherence, social skills, gambling behaviour and self-management skills were included. The majority (71%) aimed to evaluate feasibility, acceptability and/or usability. Supporting evidence for JITAI development was identified in 46 studies, with 67% applying this to develop tailored intervention content. Over half (55%) relied solely on self-reported data for tailoring, and 13 studies used only passive monitoring data. While data processing methods were commonly reported, 44% did not specify their techniques. 89% of JITAI designs achieved full marks on the TIDieR checklist and provided sufficient details on JITAI components. Overall, JITAIs proved to be feasible, acceptable and user-friendly across behaviours and settings. Randomized trials showed tailored interventions were efficacious, though outcomes varied by behaviour.
Conclusions: JITAIs offer a promising approach to developing personalized interventions, with their potential effects continuously growing. The recommended checklist emphasizes the importance of reporting transparency in establishing robust intervention designs.
behaviour change, digital health, just-in-time adaptive intervention, mobile health, personalized intervention
Hsu, Ting-Chen Chloe
ecc0b802-b3b5-4fb3-8db6-ef0a44dc9938
Whelan, Pauline
cae5309a-474f-49a6-b064-60d105cf3cf9
Gandrup, Julie
4039d16a-d6ce-4ae4-b593-12abd278aad0
Armitage, Christopher J.
88a48bb4-9c40-4d5c-944c-05a5768c6219
Cordingley, Lis
83da6442-d5d6-43fc-b950-59957900a4b5
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
Hsu, Ting-Chen Chloe
ecc0b802-b3b5-4fb3-8db6-ef0a44dc9938
Whelan, Pauline
cae5309a-474f-49a6-b064-60d105cf3cf9
Gandrup, Julie
4039d16a-d6ce-4ae4-b593-12abd278aad0
Armitage, Christopher J.
88a48bb4-9c40-4d5c-944c-05a5768c6219
Cordingley, Lis
83da6442-d5d6-43fc-b950-59957900a4b5
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
Hsu, Ting-Chen Chloe, Whelan, Pauline, Gandrup, Julie, Armitage, Christopher J., Cordingley, Lis and McBeth, John
(2024)
Personalized interventions for behaviour change: a scoping review of just-in-time adaptive interventions.
British Journal of Health Psychology, 30 (1), [e12766].
(doi:10.1111/bjhp.12766).
Abstract
Purpose: examine the development, implementation and evaluation of just-in-time adaptive interventions (JITAIs) in behaviour change and evaluate the quality of intervention reporting.
Methods: a scoping review of JITAIs incorporating mobile health (mHealth) technologies to improve health-related behaviours in adults. We searched MEDLINE, Embase and PsycINFO using terms related to JITAIs, mHealth, behaviour change and intervention methodology. Narrative analysis assessed theoretical foundations, real-time data capturing and processing methods, outcome evaluation and summarized JITAI efficacy. Quality of intervention reporting was assessed using the template for intervention description and replication (TIDieR) checklist.
Results: sixty-two JITAIs across physical activity, sedentary behaviour, dietary behaviour, substance use, sexual behaviour, fluid intake, treatment adherence, social skills, gambling behaviour and self-management skills were included. The majority (71%) aimed to evaluate feasibility, acceptability and/or usability. Supporting evidence for JITAI development was identified in 46 studies, with 67% applying this to develop tailored intervention content. Over half (55%) relied solely on self-reported data for tailoring, and 13 studies used only passive monitoring data. While data processing methods were commonly reported, 44% did not specify their techniques. 89% of JITAI designs achieved full marks on the TIDieR checklist and provided sufficient details on JITAI components. Overall, JITAIs proved to be feasible, acceptable and user-friendly across behaviours and settings. Randomized trials showed tailored interventions were efficacious, though outcomes varied by behaviour.
Conclusions: JITAIs offer a promising approach to developing personalized interventions, with their potential effects continuously growing. The recommended checklist emphasizes the importance of reporting transparency in establishing robust intervention designs.
Text
British J Health Psychol - 2024 - Hsu - Personalized interventions for behaviour change A scoping review of just‐in‐time
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Accepted/In Press date: 1 November 2024
e-pub ahead of print date: 14 November 2024
Keywords:
behaviour change, digital health, just-in-time adaptive intervention, mobile health, personalized intervention
Identifiers
Local EPrints ID: 496347
URI: http://eprints.soton.ac.uk/id/eprint/496347
ISSN: 1359-107X
PURE UUID: b061a857-bf39-4bb4-8c51-d17b7bdcf981
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Date deposited: 12 Dec 2024 17:34
Last modified: 13 Dec 2024 03:10
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Contributors
Author:
Ting-Chen Chloe Hsu
Author:
Pauline Whelan
Author:
Julie Gandrup
Author:
Christopher J. Armitage
Author:
Lis Cordingley
Author:
John McBeth
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