Evidence map›Paper›PMID 40102991›Full record

ArticleResearch involvement and engagement2025

"How would you handle this?" The impact of embedding early patient and public involvement in a biomechanical computational engineering doctoral research project.

Tinashe Munyebvu, Gloria Lillywhite, Nehruvita May, Charles Burson-Thomas, Carmel McGrath, Cheryl Metcalf, Martin Browne, Alex Dickinson

Abstract readLetter
In one paragraph

Article in Research involvement and engagement, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Tinashe MunyebvuBioengineering Science Research Group, Department of Mechanical Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK. T.A.Munyebvu@soton.ac.uk.
Gloria LillywhiteIndependent Public Contributor, Southampton, UK.
Nehruvita MayIndependent Public Contributor, Southampton, UK.
Charles Burson-ThomasBioengineering Science Research Group, Department of Mechanical Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.
Carmel McGrathNIHR Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK.
Cheryl MetcalfSchool of Healthcare Enterprise & Innovation, Faculty of Medicine, University of Southampton, Southampton, UK.
Martin BrowneBioengineering Science Research Group, Department of Mechanical Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.
Alex DickinsonBioengineering Science Research Group, Department of Mechanical Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.

Funding

Engineering and Physical Sciences Research Council EP/R513325/1Horizon 2020 Framework Programme 863183
6 · The paper itself

Abstract

backgroundEngineering is often described as a technology-driven field. However, whilst frameworks exist to engage with stakeholders, patient and public involvement (PPI) is not often undertaken in projects that have a quantitative methodology, such as engineering. This can have an impact on research quality, relevance, accessibility and experience. This is especially significant in a biomechanical engineering context where the end-user is often a person with an experience or living with a condition that the researcher does not have.

aimThis paper aims to provide a commentary on the first steps taken to embed PPI into a biomechanical engineering doctoral research project, and the outcomes and learnings that have come from this experience.

methodsThree members of the public living with hand osteoarthritis (OA) were involved in the early-stage PPI consultations. These sessions aimed to openly discuss the hand OA lived-experience, current treatments and considerations for the project. RESULTS AND DISCUSSION: Early-stage PPI allowed a deeper understanding of the hand OA lived experience and prompted further PPI activity within the biomechanical engineering research project. Subsequently, a long-term partnership with public contributors was established, shifting the project's focus from purely developing a computational model to addressing three PPI-identified priorities: (1) patient variability, (2) joint instability, and (3) raising hand OA awareness, using both computational modelling and public engagement methods. Though the number of contributors was small, it allowed for meaningful and long-lasting partnerships to be developed. Based on the learnings from this approach, eight recommendations were developed for researchers seeking guidance on integrating PPI in similar research. These include leveraging the power of storytelling, introducing PPI into the research as early as possible, investing in training and planning, establishing a meaningful partnership with members of the public, understanding the commitment, maintaining flexibility, providing consistent feedback and diversifying research efforts.

conclusionThis project has demonstrated PPI can inspire ideas and guide critical thinking and technical workflow, uncovering solutions that might not emerge without collaboration. Although the evidence-base is limited, we advocate that PPI has a place in quantitative-heavy research fields such as engineering, especially biomechanical engineering where people are often the end-users of research outcomes.

Indexed as

Biomechanical engineeringComputational modellingDoctoral researchEngineeringHand osteoarthritisPublic engagementPublic involvement

Identifiers

PMID40102991
PMCPMC11921647

What Socratic 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 Socratic graph.