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Built Environments to Support Rehabilitation for People With Stroke From the Hospital to the Home (B-Sure) : Protocol for a Mixed Method Participatory Co-Design Study

Authors :
Kylén, Maya
Sturge, Jodi
Lipson-Smith, Ruby
Schmidt, Steven M
Pessah-Rasmussen, Hélène
Svensson, Tony
de Vries, Laila
Bernhardt, Julie
Elf, Marie
Kylén, Maya
Sturge, Jodi
Lipson-Smith, Ruby
Schmidt, Steven M
Pessah-Rasmussen, Hélène
Svensson, Tony
de Vries, Laila
Bernhardt, Julie
Elf, Marie
Publication Year :
2023

Abstract

BACKGROUND: A global trend is to move rehabilitation closer to people's neighborhoods and homes. Still, little attention has been given to how the built environment outside the hospital setting might impact rehabilitation and recovery for stroke survivors. OBJECTIVE: The overarching objective of this project is to develop conceptual models of built environments that support stroke rehabilitation and recovery outside the hospital setting. Specifically, the project will explore factors and characteristics of the built environment that support people with stroke and their families and identify innovative built environments that can be designed for local health care. The project will examine facilitators and obstacles for implementing built environmental solutions and evaluate the potential benefits, feasibility, and acceptability. METHODS: The project uses a mixed methods design approach with 3 phases. In phase 1, factors and characteristics of the built environment for rehabilitation will be identified. Based on the results from phase 1, phase 2 will involve co-designing prototypes of environments to support the rehabilitation process for people with stroke. Finally, the prototypes will be evaluated in phase 3. Qualitative and quantitative methods will include a literature review, a concept mapping (CM) study, stakeholder interviews, prototype development, and testing. The project will use multidimensional scaling, hierarchical cluster analysis, descriptive statistics for quantitative data, and content analysis for qualitative data. Location analysis will rely on the location-allocation model for network problems, and the rule-based analysis will be based on geographic information systems data. RESULTS: As of the submission of this protocol, ethical approval for the CM study and the interview study has been obtained. Data collection is planned to start in September 2023 and the workshops later in the same year. The scoping review is ongoing from January 2023. The CM s

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1428113277
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.2196.52489