Using the Person-Based Approach to Co-Create and Optimize an App-Based Intervention to Support Better Sleep for Adolescents in the United Kingdom: Mixed Methods Study.


Journal

JMIR human factors
ISSN: 2292-9495
Titre abrégé: JMIR Hum Factors
Pays: Canada
ID NLM: 101666561

Informations de publication

Date de publication:
31 Oct 2024
Historique:
received: 24 06 2024
accepted: 21 10 2024
revised: 17 10 2024
medline: 1 11 2024
pubmed: 1 11 2024
entrez: 31 10 2024
Statut: epublish

Résumé

Poor sleep is a common problem in adolescents aged 14 to 18 years. Difficulties with sleep have been found to have a bidirectional link to mental health problems. This new research sought to involve young people in the co-creation of a new app, particularly those from underserved communities. The Sleep Solved app uses science-based advice to improve sleep-related behaviors and well-being. The app was developed using the person-based approach, underpinned by the social cognitive theory and the social-ecological model of sleep health. Young people (aged 14-18 y) were recruited from across the United Kingdom to contribute to patient and public involvement (PPI) activities. In partnership with our peer researcher (MHJ), we used a multitude of methods to engage with PPI contributors, including web-based workshops, surveys, think-aloud interviews, focus groups, and app beta testing. A total of 85 young people provided PPI feedback: 54 (64%) young women, 27 (32%) young men, 2 (2%) genderfluid people, 1 (1%) nonbinary person, and 1 (1%) who reported "prefer not to say." Their levels of deprivation ranged from among the 40% most deprived to the 20% least deprived areas. Most had self-identified sleep problems, ranging from 2 to 3 times per week to >4 times per week. Attitudes toward the app were positive, with praise for its usability and use of science-based yet accessible information. Think-aloud interviews and a focus group identified a range of elements that may influence the use of the app, including the need to pay attention to language choices and readability. User experiences in the form of narrated audio clips were used to normalize sleep problems and provide examples of how the app had helped these users. Young people were interested in using an app to better support their sleep and mental health. The app was co-created with strong links to theory- and evidence-based sleep hygiene behaviors. Future work to establish the effectiveness of the intervention, perhaps in a randomized controlled trial, would provide support for potential UK-wide rollout.

Sections du résumé

BACKGROUND BACKGROUND
Poor sleep is a common problem in adolescents aged 14 to 18 years. Difficulties with sleep have been found to have a bidirectional link to mental health problems.
OBJECTIVE OBJECTIVE
This new research sought to involve young people in the co-creation of a new app, particularly those from underserved communities. The Sleep Solved app uses science-based advice to improve sleep-related behaviors and well-being. The app was developed using the person-based approach, underpinned by the social cognitive theory and the social-ecological model of sleep health.
METHODS METHODS
Young people (aged 14-18 y) were recruited from across the United Kingdom to contribute to patient and public involvement (PPI) activities. In partnership with our peer researcher (MHJ), we used a multitude of methods to engage with PPI contributors, including web-based workshops, surveys, think-aloud interviews, focus groups, and app beta testing.
RESULTS RESULTS
A total of 85 young people provided PPI feedback: 54 (64%) young women, 27 (32%) young men, 2 (2%) genderfluid people, 1 (1%) nonbinary person, and 1 (1%) who reported "prefer not to say." Their levels of deprivation ranged from among the 40% most deprived to the 20% least deprived areas. Most had self-identified sleep problems, ranging from 2 to 3 times per week to >4 times per week. Attitudes toward the app were positive, with praise for its usability and use of science-based yet accessible information. Think-aloud interviews and a focus group identified a range of elements that may influence the use of the app, including the need to pay attention to language choices and readability. User experiences in the form of narrated audio clips were used to normalize sleep problems and provide examples of how the app had helped these users.
CONCLUSIONS CONCLUSIONS
Young people were interested in using an app to better support their sleep and mental health. The app was co-created with strong links to theory- and evidence-based sleep hygiene behaviors. Future work to establish the effectiveness of the intervention, perhaps in a randomized controlled trial, would provide support for potential UK-wide rollout.

Identifiants

pubmed: 39481107
pii: v11i1e63341
doi: 10.2196/63341
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e63341

Informations de copyright

©Sarah E Bennett, Milly H Johnston, Georgia Treneman-Evans, James Denison-Day, Anthony Duffy, Amberly Brigden, Paula Kuberka, Nicholas Christoforou, Lee Ritterband, Jewel Koh, Robert Meadows, Doaa Alamoudi, Ian Nabney, Lucy Yardley. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 31.10.2024.

Auteurs

Sarah E Bennett (SE)

School of Psychological Science, University of Bristol, Bristol, United Kingdom.

Milly H Johnston (MH)

Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Georgia Treneman-Evans (G)

Bristol Medical School, University of Bristol, Bristol, United Kingdom.

James Denison-Day (J)

School of Psychology, University of Southampton, Southampton, United Kingdom.

Anthony Duffy (A)

Digital Health Circle Lab, School of Interactive Arts & Technology, Simon Fraser University, British Columbia, BC, Canada.

Amberly Brigden (A)

School of Engineering, Mathematics and Technology, University of Bristol,, Bristol, United Kingdom.

Paula Kuberka (P)

Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Nicholas Christoforou (N)

Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Lee Ritterband (L)

Psychiatry and Neurobehavioral Sciences, University of Virginia Health System, Charlottesville, VA, United States.

Jewel Koh (J)

School of Psychological Science, University of Bristol, Bristol, United Kingdom.

Robert Meadows (R)

Department of Sociology, University of Surrey, Guildford, United Kingdom.

Doaa Alamoudi (D)

Department of Computer Science, University of Bristol, Bristol, United Kingdom.

Ian Nabney (I)

Department of Computer Science, University of Bristol, Bristol, United Kingdom.

Lucy Yardley (L)

School of Psychological Science, University of Bristol, Bristol, United Kingdom.
School of Psychology, University of Southampton, Southampton, United Kingdom.

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