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Development of a web-based acceptance and commitment therapy intervention to support lifestyle behavior change and well-being in health care staff: participatory design study

Brown, Menna, Hooper, Nic, Eslambolchilar, Parisa and John, Ann 2020. Development of a web-based acceptance and commitment therapy intervention to support lifestyle behavior change and well-being in health care staff: participatory design study. JMIR Formative Research 4 (11) , e22507. 10.2196/22507

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Abstract

Background: Positive emotional well-being is associated with healthier lifestyle choices and overall health function, whereas poor mental health is associated with significant economic and psychological costs. Thus, the development of effective interventions that improve emotional well-being is crucial to address the worldwide burden of disease. Objective: This study aims to develop a web-based emotional well-being intervention for use by health care staff using participatory design to consider adherence and engagement from a user perspective. Methods: A 3-staged iterative participatory design process was followed, including multiple stakeholders: researchers, computer scientists, mental health experts, and health care staff. Stage 1 used document analyses, direct observation, and welcome interviews; stage 2 used focus group discussions, rapid prototyping, and usability tasks; and stage 3 evaluated a high-fidelity prototype. Results: Different health care staff (N=38) participated during a sustained period. A structured, sequential, automated, 12-week, web-based emotional well-being intervention based on acceptance and commitment therapy was developed. Freely navigated psychoeducational resources were also included. Conclusions: The iterative and collaborative participatory design process successfully met its objectives. It generated an in-depth understanding of well-being within the workplace and identified barriers to access. The 3-staged process ensured that participants had the opportunity to explore and articulate criteria relevant to their roles over time and reflect on decisions made at each stage.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Additional Information: This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/).
ISSN: 2561-326X
Date of First Compliant Deposit: 1 December 2020
Date of Acceptance: 9 September 2020
Last Modified: 01 Dec 2020 15:30
URI: http://orca.cardiff.ac.uk/id/eprint/136700

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