Evidence map›Paper›PMID 42244028›Full record

ArticleAdvances in simulation (London, England)2026

Into the light: the rise of shadowbox simulation to illuminate decision-making.

Victoria Ruth Tallentire, Lachlan Dick, Robert Hart, Thalia Monro-Somerville, Benjamin Clarke, Russell Allan

Abstract read
In one paragraph

Article in Advances in simulation (London, England), 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.

Victoria Ruth TallentireMedical Education Directorate, NHS Lothian, Edinburgh, Scotland. Vicky.Tallentire@ed.ac.uk.ORCID http://orcid.org/0000-0002-9178-1425
Lachlan DickMedical Education Directorate, NHS Lothian, Edinburgh, Scotland.ORCID http://orcid.org/0000-0002-4341-9501
Robert HartScottish Centre for Simulation and Human Factors, NHS Forth Valley, Larbert, Scotland.ORCID http://orcid.org/0000-0002-4043-1249
Thalia Monro-SomervilleScottish Centre for Simulation and Human Factors, NHS Forth Valley, Larbert, Scotland.
Benjamin ClarkeEmergency Medicine and Critical Care, NHS Lothian, Edinburgh, Scotland.ORCID http://orcid.org/0000-0003-4619-5053
Russell AllanScottish Centre for Simulation and Human Factors, NHS Forth Valley, Larbert, Scotland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShadowbox simulation is an educational approach that utilises the ShadowBox method, originally developed in high-stakes fields such as firefighting and the military, adapted for healthcare education. Grounded in cognitive transformation theory and drawing heavily on naturalistic decision-making, shadowbox simulation makes expert reasoning visible and accessible, enabling learners to compare their decision-making with that of experts and develop complex cognitive and behavioural skills. MAIN BODY: Early applications of shadowbox simulation in healthcare have demonstrated feasibility across diverse contexts. Building on these foundations, we describe the implementation of a hybrid shadowbox simulation format within Scotland's national Internal Medicine Training program. This model combines video vignettes of expert practice, structured decision-points, group discussion and procedural practice, all supported by expert facilitation. Evaluation across more than 40 sessions shows that learners value the safe learning environment, the opportunity to embrace uncertainty and explore multiple perspectives, and the balance of reflective discussion with procedural refreshers. Feedback indicates that the format may foster deeper engagement, greater knowledge retention, and broader participation compared with traditional immersive simulation, while requiring fewer resources. By synthesising evidence from outside healthcare, reviewing recent adaptations, and presenting the principles and outcomes of national implementation, this article positions shadowbox simulation as a theory-informed, resource-efficient, and scalable method that advances simulation practice.

conclusionWe argue that shadowbox simulation offers particular promise for developing non-technical or behavioural skills, supporting reflective learning, and widening access to simulation-based education. Future potential applications extending to leadership, delegation, and induction training across healthcare professions are discussed.

Indexed as

Cognitive skillsCognitive transformation theoryNaturalistic decision-makingShadowBox methodShadowbox simulationSports psychology

Identifiers

PMID42244028
PMCPMC13595719

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.