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Health Expectations
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Health Expectations
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Experience‐based co‐design—Adapting the method for a researcher‐initiated study in a multi‐site setting

Authors: David K. Raynor; Hanif Ismail; Alison Blenkinsopp; Beth Fylan; Gerry Armitage; Jonathan Silcock;

Experience‐based co‐design—Adapting the method for a researcher‐initiated study in a multi‐site setting

Abstract

AbstractBackgroundExperience‐based co‐design (EBCD) brings patients and staff together to co‐design services. It is normally conducted in one organization which initiates and implements the process. We used the traditional EBCD method with a number of adaptations as part of a larger research study in the British National Health Service.MethodsThe primary aim was to assess the feasibility and acceptability of conducting research‐initiated EBCD, to enhance intervention development prior to testing. As well as embedding the method in a research study, there were 3 further key adaptations: (a) working across primary and secondary care sectors, (b) working on multiple sites and (c) incorporating theory‐informed analysis.ResultsWe recruited four sites (covering both primary and secondary care) and, on each site, conducted the initial traditional EBCD meetings, with separate staff and patient groups—followed by a single joint patient‐staff event, where four priority areas for co‐design were agreed. This event was driven by theory‐informed analysis, as well as the traditional trigger film of patient experiences. Each site worked on one priority area, and the four co‐design groups met over 2‐3 months to design prototype tools. A second joint event was held (not usually undertaken in single‐site EBCD) where they shared and compared outputs. The research team combined elements of these outputs to create an intervention, now being tested in a cluster randomized controlled trial.ConclusionsEBCD can be successfully adapted for use across an entire patient pathway with multiple organizations and as part of a research process to identify an intervention for subsequent testing in a randomized trial. Our pragmatic approach used the patient experience to identify areas for improvement and co‐designed an intervention which directly reflected patient priorities.

Country
United Kingdom
Keywords

Medicine (General), experience based co-design, experience‐based co‐design, Codesign, complex intervention, State Medicine, Adapted method, codesign, R5-920, Complex intervention, Research Design, Experience-based co-design, adapted method, Humans, Public aspects of medicine, RA1-1270, Original Research Papers

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    popularity
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    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
61
Top 1%
Top 10%
Top 10%
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gold