Evidence map›Paper›PMID 41924181›Full record

ArticleFrontiers in digital health2026

Planning and delivering co-creation workshops: practical lessons from digital health device design.

Aidan McConnell-Trevillion, Lynda Webb, Wei Ju, Srinjoy Mitra, Lynne Baillie, Kianoush Nazarpour

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

6 authors.

Aidan McConnell-TrevillionSchool of Informatics, The University of Edinburgh, Edinburgh, United Kingdom.
Lynda WebbSchool of Informatics, The University of Edinburgh, Edinburgh, United Kingdom.
Wei JuSchool of Informatics, The University of Edinburgh, Edinburgh, United Kingdom.
Srinjoy MitraSchool of Engineering, The University of Edinburgh, Edinburgh, United Kingdom.
Lynne BaillieSchool of Mathematical & Computer Sciences, Heriot Watt University, Edinburgh, United Kingdom.
Kianoush NazarpourSchool of Informatics, The University of Edinburgh, Edinburgh, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Co-creation methods are increasingly recognised as essential in digital health and care, yet engineers and physical scientists new to the field often find the literature highly theoretical, fragmented, and difficult to apply in practice. This paper presents a worked example of planning and delivering co-creation workshops through the development of an overactive bladder treatment device. Drawing on established participatory design frameworks, we situate our approach within existing theory while providing a modular toolkit structured around purpose (Why), content (What), and delivery (How). The toolkit is not intended as a new theoretical contribution, but as an accessible starting point for engineers and researchers seeking to integrate stakeholder engagement into biomedical device development. We also describe the use of an electronic whiteboard environment for rapid data capture and organization, reducing the need for full transcription and supporting efficient translation of stakeholder input into actionable design insights. By illustrating the process end-to-end and aligning it with key principles from the co-design literature, this paper provides early-career researchers and engineers with a concise, practice-oriented reference for running effective co-creation activities in digital health and care contexts.

Indexed as

biomedical device developmentco-creationdigital healthoveractive bladderparticipatory designstakeholder engagement

Identifiers

PMID41924181
PMCPMC13036850

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.