ArticleAdvances in simulation (London, England)2025
'Everybody's voice is important': using translational simulation as a component of change management.
Article in Advances in simulation (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Moving beyond projects: a logic model evaluation of an established translational simulation program.Advances in simulation (London, England) · 2026Article
- Connecting data science and translational simulation.Advances in simulation (London, England) · 2026Article
- Progress in educational theory and translational implementation of simulation-based education for healthcare professionals: an integrative analysis from theory to effectiveness.Frontiers in medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChanges in healthcare systems are often highly stressful experiences for healthcare teams, contributing to disengagement and resistance to change. Translational simulation has been shown to be impactful at both organisational and department-based levels; however, its impact on the experience of change for frontline staff has not, to date, been explicitly explored. Understanding the impact of translational simulation on the perception of teams exposed to healthcare system changes, and how to optimise our approaches to support change management on a team and individual level, may be the difference between an overwhelmed and disengaged workforce and a positive and engaged one.
methodsWe used template analysis as an analytic tool to gain new understanding of the impact of translational simulation on the experiences of staff members undergoing change. Utilising Bartunek et al.'s (2006) conceptual framework to inform the priori themes of our template, we interviewed nine Registered Nurses involved in a major relocation into a purpose-built paediatric hospital in Edinburgh, UK. We sequenced the interviews to take place in the lead up to a planned simulation event, with a follow up second interview 1 month after the hospital move. On the day of the simulation, we additionally collected a series of 'headline' thoughts from the group across the simulation to track their thoughts and feelings toward the move. Interviews and 'headlines' were recorded, transcribed, and thematically analysed using template analysis methods.
resultsOur findings demonstrate that the use of translational simulation significantly enhanced staff preparedness and engagement during a major hospital relocation, suggesting that incorporating such approaches can be a valuable component of change management strategies in healthcare settings.
conclusionsWhilst further research is required, these findings promote the considered use of translational simulation as a potentially significant component of the change management process.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.