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'A good decision is the one that feels right for me': Codesign with patients to inform theoretical underpinning of a decision aid website.

Kohut, K; Morton, K; Hurley, K; Turner, L; CanGene-CanVar Patient Reference Panel, ; Dale, C; Eastbrook, S; Gold, R; Henwood, K; Patton, S; et al. Kohut, K; Morton, K; Hurley, K; Turner, L; CanGene-CanVar Patient Reference Panel; Dale, C; Eastbrook, S; Gold, R; Henwood, K; Patton, S; Punjabi, R; White, H; Young, C; Young, J; Bancroft, E; Barnett, L; Cable, S; Connolly, G; Coad, B; Forman, A; Hanson, H; Kavanaugh, G; Sahan, K; Snape, K; Torr, B; Way, R; Winchester, E; Youngs, A; International Lynch Decision Aid Stakeholder Panel; Eccles, D; Foster, C (2023) 'A good decision is the one that feels right for me': Codesign with patients to inform theoretical underpinning of a decision aid website. Health Expect, 27 (1). e13844. ISSN 1369-7625 https://doi.org/10.1111/hex.13844
SGUL Authors: Coad, Elizabeth Susan

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Abstract

INTRODUCTION: Patient decision aids (PtDA) complement shared decision-making with healthcare professionals and improve decision quality. However, PtDA often lack theoretical underpinning. We are codesigning a PtDA to help people with increased genetic cancer risks manage choices. The aim of an innovative workshop described here was to engage with the people who will use the PtDA regarding the theoretical underpinning and logic model outlining our hypothesis of how the PtDA would lead to more informed decision-making. METHODS: Short presentations about psychological and behavioural theories by an expert were interspersed with facilitated, small-group discussions led by patients. Patients were asked what is important to them when they make health decisions, what theoretical constructs are most meaningful and how this should be applied to codesign of a PtDA. An artist created a visual summary. Notes from patient discussions and the artwork were analysed using reflexive thematic analysis. RESULTS: The overarching theme was: It's personal. Contextual factors important for decision-making were varied and changed over time. There was no one 'best fit' theory to target support needs in a PtDA, suggesting an inductive, flexible framework approach to programme theory would be most effective. The PtDA logic model was revised based on patient feedback. CONCLUSION: Meaningful codesign of PtDA including discussions about the theoretical mechanisms through which they support decision-making has the potential to lead to improved patient care through understanding the intricately personal nature of health decisions, and tailoring content and format for holistic care. PATIENT CONTRIBUTION: Patients with lived experience were involved in codesign and coproduction of this workshop and analysis as partners and coauthors. Patient discussions were the primary data source. Facilitators provided a semi-structured guide, but they did not influence the patient discussions or provide clinical advice. The premise of this workshop was to prioritise the importance of patient lived experience: to listen, learn, then reflect together to understand and propose ideas to improve patient care through codesign of a PtDA.

Item Type: Article
Additional Information: © 2023 The Authors. Health Expectations published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: codesign, coproduction, patient decision aid, shared decision-making, CanGene-CanVar Patient Reference Panel, International Lynch Decision Aid Stakeholder Panel, codesign, coproduction, patient decision aid, shared decision-making, 1110 Nursing, 1117 Public Health and Health Services, 1701 Psychology, Public Health
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Journal or Publication Title: Health Expect
ISSN: 1369-7625
Language: eng
Dates:
DateEvent
17 December 2023Published
13 September 2023Published Online
1 August 2023Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
CG1296/A27223Cancer Research UKhttp://dx.doi.org/10.13039/501100000289
PubMed ID: 37705192
Web of Science ID: WOS:001065079300001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/116160
Publisher's version: https://doi.org/10.1111/hex.13844

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