Imperial College London
Alternate

ProfessorRogerKneebone

Faculty of Medicine, Department of Surgery & Cancer

Professor of Surgical Education and Engagement Science
 
 
 
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Contact

 

r.kneebone Website

 
 
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Location

 

ICCESS, Academic SurgeryChelsea and Westminster HospitalChelsea and Westminster Campus

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Summary

 

Publications

Citation

BibTex format

@article{Kelay:2017:10.1186/s41077-017-0049-y,
author = {Kelay, TK and Chan, KL and Ako, E and Yasin, M and Costopoulos, C and Gold, M and Kneebone, R and Malik, I and Bello, F},
doi = {10.1186/s41077-017-0049-y},
journal = {Advances in Simulation},
title = {Distributed Simulation as a modelling tool for the development of a simulation-based training programme for cardiovascular specialties},
url = {http://dx.doi.org/10.1186/s41077-017-0049-y},
volume = {2},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Aims and backgroundDistributed Simulation is the concept of portable, high-fidelity immersive simulation. Here, it is used for the development of a simulation-based training programme for cardiovascular specialities. We present an evidence base for how accessible, portable and self-contained simulated environments can be effectively utilised for the modelling, development and testing of a complex training framework and assessment methodology. Iterative user feedback through mixed-methods evaluation techniques resulted in the implementation of the training programme.ApproachFour phases were involved in the development of our immersive simulation-based training programme: (1) initial conceptual stage for mapping structural criteria and parameters of the simulation training framework and scenario development (n = 16), (2) training facility design using Distributed Simulation, (3) test cases with clinicians (n = 8) and collaborative design, where evaluation and user feedback involved a mixed-methods approach featuring (a) quantitative surveys to evaluate the realism and perceived educational relevance of the simulation format and framework for training and (b) qualitative semi-structured interviews to capture detailed feedback including changes and scope for development. Refinements were made iteratively to the simulation framework based on user feedback, resulting in (4) transition towards implementation of the simulation training framework, involving consistent quantitative evaluation techniques for clinicians (n = 62). For comparative purposes, clinicians’ initial quantitative mean evaluation scores for realism of the simulation training framework, realism of the training facility and relevance for training (n = 8) are presented longitudinally, alongside feedback throughout the development stages from concept to delivery, including the implementation stage (n = 62).FindingsInitially, mean evaluation scores fluctuated from low to average, rising incrementally. T
AU  - Kelay,TK
AU  - Chan,KL
AU  - Ako,E
AU  - Yasin,M
AU  - Costopoulos,C
AU  - Gold,M
AU  - Kneebone,R
AU  - Malik,I
AU  - Bello,F
DO  - 10.1186/s41077-017-0049-y
PY  - 2017///
SN  - 2059-0628
TI  - Distributed Simulation as a modelling tool for the development of a simulation-based training programme for cardiovascular specialties
T2  - Advances in Simulation
UR  - http://dx.doi.org/10.1186/s41077-017-0049-y
UR  - http://hdl.handle.net/10044/1/50807
VL  - 2
ER  -
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