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Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach

BACKGROUND: To inform the development of an intervention, it is essential to have a well-developed theoretical understanding of how an intervention causes change, as stated in the UK Medical Research Council guidelines for developing complex interventions. Theoretical foundations are often ignored i...

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Autores principales: Abahussin, Asma A, West, Robert M, Wong, David C, Ziegler, Lucy E, Allsop, Matthew J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594136/
https://www.ncbi.nlm.nih.gov/pubmed/37812491
http://dx.doi.org/10.2196/49471
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author Abahussin, Asma A
West, Robert M
Wong, David C
Ziegler, Lucy E
Allsop, Matthew J
author_facet Abahussin, Asma A
West, Robert M
Wong, David C
Ziegler, Lucy E
Allsop, Matthew J
author_sort Abahussin, Asma A
collection PubMed
description BACKGROUND: To inform the development of an intervention, it is essential to have a well-developed theoretical understanding of how an intervention causes change, as stated in the UK Medical Research Council guidelines for developing complex interventions. Theoretical foundations are often ignored in the development of mobile health apps intended to support pain self-management for patients with cancer. OBJECTIVE: This study aims to systematically set a theory- and evidence-driven design for a pain self-management app and specify the app’s active features. METHODS: The Behavior Change Wheel (BCW) framework, a step-by-step theoretical approach to the development of interventions, was adopted to achieve the aim of this study. This started by understanding and identifying sources of behavior that could be targeted to support better pain management. Ultimately, the application of the BCW framework guided the identification of the active contents of the app, which were characterized using the Behavior Change Technique Taxonomy version 1. RESULTS: The theoretical analysis revealed that patients may have deficits in their capability, opportunity, and motivation that prevent them from performing pain self-management. The app needs to use education, persuasion, training, and enablement intervention functions because, based on the analysis, they were found the most likely to address the specified factors. Eighteen behavior change techniques were selected to describe precisely how the intervention functions can be presented to induce the desired change regarding the intervention context. In other words, they were selected to form the active contents of the app, potentially reducing barriers and serving to support patients in the self-management of pain while using the app. CONCLUSIONS: This study fully reports the design and development of a pain self-management app underpinned by theory and evidence and intended for patients with cancer. It provides a model example of the BCW framework application for health app development. The work presented in this study is the first systematic theory- and evidence-driven design for a pain app for patients with cancer. This systematic approach can support clarity in evaluating the intervention’s underlying mechanisms and support future replication.
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spelling pubmed-105941362023-10-25 Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach Abahussin, Asma A West, Robert M Wong, David C Ziegler, Lucy E Allsop, Matthew J JMIR Cancer Original Paper BACKGROUND: To inform the development of an intervention, it is essential to have a well-developed theoretical understanding of how an intervention causes change, as stated in the UK Medical Research Council guidelines for developing complex interventions. Theoretical foundations are often ignored in the development of mobile health apps intended to support pain self-management for patients with cancer. OBJECTIVE: This study aims to systematically set a theory- and evidence-driven design for a pain self-management app and specify the app’s active features. METHODS: The Behavior Change Wheel (BCW) framework, a step-by-step theoretical approach to the development of interventions, was adopted to achieve the aim of this study. This started by understanding and identifying sources of behavior that could be targeted to support better pain management. Ultimately, the application of the BCW framework guided the identification of the active contents of the app, which were characterized using the Behavior Change Technique Taxonomy version 1. RESULTS: The theoretical analysis revealed that patients may have deficits in their capability, opportunity, and motivation that prevent them from performing pain self-management. The app needs to use education, persuasion, training, and enablement intervention functions because, based on the analysis, they were found the most likely to address the specified factors. Eighteen behavior change techniques were selected to describe precisely how the intervention functions can be presented to induce the desired change regarding the intervention context. In other words, they were selected to form the active contents of the app, potentially reducing barriers and serving to support patients in the self-management of pain while using the app. CONCLUSIONS: This study fully reports the design and development of a pain self-management app underpinned by theory and evidence and intended for patients with cancer. It provides a model example of the BCW framework application for health app development. The work presented in this study is the first systematic theory- and evidence-driven design for a pain app for patients with cancer. This systematic approach can support clarity in evaluating the intervention’s underlying mechanisms and support future replication. JMIR Publications 2023-10-09 /pmc/articles/PMC10594136/ /pubmed/37812491 http://dx.doi.org/10.2196/49471 Text en ©Asma A Abahussin, Robert M West, David C Wong, Lucy E Ziegler, Matthew J Allsop. Originally published in JMIR Cancer (https://cancer.jmir.org), 09.10.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cancer, is properly cited. The complete bibliographic information, a link to the original publication on https://cancer.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Abahussin, Asma A
West, Robert M
Wong, David C
Ziegler, Lucy E
Allsop, Matthew J
Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach
title Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach
title_full Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach
title_fullStr Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach
title_full_unstemmed Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach
title_short Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach
title_sort supporting pain self-management in patients with cancer: app development based on a theoretical and evidence-driven approach
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594136/
https://www.ncbi.nlm.nih.gov/pubmed/37812491
http://dx.doi.org/10.2196/49471
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