170. Barriers to Participation in Personalised Home Care: A COM-B-Informed Review of Self-Directed Support and International Models
Invited abstract in session MD-1: Home healthcare, stream Sessions.
Monday, 13:30-15:00Room: NTNU, Realfagbygget R5
Authors (first author is the speaker)
| 1. | Shafkat Ibrahimy
|
| Management Science, University of Strathclyde | |
| 2. | Le Khanh Ngan Nguyen
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| Management Science, University of Strathclyde | |
| 3. | Lynn Williams
|
| Psychological Sciences and Health, University of Strathclyde | |
| 4. | Itamar Megiddo
|
| University of Strathclyde |
Abstract
This talk discusses a work-in-progress systematic review that forms the foundation of a broader research agenda systematically integrating behaviour theories from psychological sciences into systems simulation models for home care planning. The review investigates how active, informed participation in personalized home care planning by older adults is influenced by multiple barriers and facilitators. The study considers Scotland’s Self-Directed Support (SDS) model and international approaches in person-directed or consumer care that are comparable. Despite growing policy emphasis on personalization, there remains limited operational understanding of how behavioural factors affect engagement with self-directed care processes, creating a gap between policy intentions and implementation. Literature is being reviewed from academic and grey sources, including Scottish government reports, with initial coding in progress to extract themes related to planning process, user engagement and service-level constraints. The next stage will apply the COM-B behaviour framework (Capability, Opportunity, Motivation) as a lens to analyse and interpret these themes to examine their behavioural links and implications for care system design. The longer-term aim is to use these findings to underpin the development of a hybrid simulation model for planning and service improvement. The talk invites discussion on applying behavioural theory to qualitative findings in support of care planning models.
Keywords
- Home care and Long Term Care
- Implementation Science
- Health Services Research
Status: accepted
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