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

Autor:	Abahussin AA; Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia., West RM; Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, United Kingdom., Wong DC; Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, United Kingdom., Ziegler LE; Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, United Kingdom., Allsop MJ; Leeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, United Kingdom.
Jazyk:	angličtina
Zdroj:	JMIR cancer [JMIR Cancer] 2023 Oct 09; Vol. 9, pp. e49471. Date of Electronic Publication: 2023 Oct 09.
DOI:	10.2196/49471
Abstrakt:	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. (©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.)
Databáze:	MEDLINE
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