Evidence map›Paper›PMID 39085825›Full record

ArticleBMC health services research2024

Co-designing a cardiac rehabilitation program with knowledge users for patients with cardiovascular disease from a remote area.

Jessica Bernier, Mylaine Breton, Marie-Eve Poitras

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Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jessica BernierDepartment of Family Medicine and Emergency Medicine, University of Sherbrooke, Saguenay-Lac-St-Jean, 305, Saint-Vallier, Chicoutimi, Québec, G7H 5H6, Canada.
Mylaine BretonDepartment of Community Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.
Marie-Eve PoitrasDepartment of Family Medicine and Emergency Medicine, University of Sherbrooke, Saguenay-Lac-St-Jean, 305, Saint-Vallier, Chicoutimi, Québec, G7H 5H6, Canada. marie-eve.poitras@usherbrooke.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease is the leading cause of death worldwide. Cardiac rehabilitation (CR) programs are recognized as effective in reducing the burden of cardiovascular disease. However, CR programs are offered inequitably across regions and are available in less than 15% of remote areas worldwide. The main goal of this study was to design a CR program adapted to the contexts of remote areas to improve the service offered to patients.

methodsWe used an iterative user-centered design approach to understand the user context and services offered in cardiac rehabilitation in remote areas. We conducted two co-design processes with knowledge users in two remote regions. Two advisory committees were created in each of these regions, comprising managers (n = 6), healthcare professionals (n = 12) and patients (n = 2). We utilized the BACPR guidelines and the Hautes Autorités de santé operational model to support data collection in coding sessions to develop the CR program. We conducted four cycles of co-design with each of the committees to develop the cardiac rehabilitation program. Qualitative data were analyzed iteratively after each cycle.

resultsThe co-design process resulted in developing a prototype cardiac rehabilitation program similar in both regions. It is based on a contextualized six-phase pathway of care designed for remote regions. For each phase 0 to 6 of the care pathway, knowledge users were asked to describe how to offer these phases in remote areas. Participants made structural changes to phases 0, 2, 3 and 4 in order to overcome staffing shortages in remote areas. These changes make it possible to decentralize cardiac rehabilitation expertise away from specialized centers, to ensure equity of service across the territory. Therapeutic patient education was integrated into phase 4 to meet patients' needs. Participants suggested that three follow-up offerings could come from nursing services to increase access to the cardiac rehabilitation program (primary care, home care, special chronic disease programs) in patients' home communities.

conclusionThe co-design process enables us to meet the needs of remote regions in program development. This final program can be the subject of future implementation research.

Indexed as

Cardiac RehabilitationCardiovascular DiseasesAgedFemaleHumansMaleMiddle AgedProgram DevelopmentQualitative ResearchRural Health ServicesUser-Centered DesignCardiac rehabilitation programCardiovascular diseaseRemote areasUser-centered design

Identifiers

PMID39085825
PMCPMC11290167

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.