Refining a primary care shared decision-making aid for lifestyle change: a mixed-methods study
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Updated: Oct 11, 2025

Multidisciplinary Approach to Obesity Management: A Case Report
Published on: May 30, 2025
Neil Heron1,2, Seán R O'Connor3,4, Frank Kee3
1Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland neilheron@yahoo.co.uk.
Background:
The important role of primary care in promoting healthy lifestyle behaviours needs informed support.
Aim:
To elicit views on a 39-item shared decision-making (SDM) aid (SHARE-D) for lifestyle change and refine it to improve implementation.
Design & Setting:
Mixed-methods study.
Method:
Health professionals, patients, and support workers, with experience of managing or a history of cardio- or cerebrovascular disease, were purposively recruited based on age, sex, and urban/rural location (n = 34). Participants completed a survey, rating the importance of including each item in a decision-aid, designed for use by patients with health professionals, and suggesting modifications. Semi-structured interviews (n = 30/34) were conducted and analysed thematically.
Results:
Substantial agreement was observed on rating item inclusion. Based on survey and interview data, 9/39 items were removed; 13 were amended. Qualitative themes were: 1) core content of the decision-aid; 2) barriers to use; 3) motivation for lifestyle change; and 4) primary care implementation. 'Self-reflective' questions and goal setting were viewed as essential components. The paper-based format, length, clarity, and time required were barriers to its use. Optional support considered within the aid was seen as important to motivate change. A digital version, integrated into patient record systems was regarded as critical to implementation. A revised 30-item aid was considered suitable for facilitating brief conversations and promoting patient autonomy.
Conclusion:
The SHARE-D decision aid for healthy lifestyle change appears to have good content validity and acceptability. Survey and interview data provided in-depth information to support implementation of a refined version. Further studies should examine its effectiveness.
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