Sequential simulation: model design, development and validation
File(s)
Author(s)
Weldon, Sharon Marie
Type
Thesis
Abstract
The focus of study for this PhD is a new approach to healthcare simulation termed Sequential Simulation (SqS).
Simulation is an emerging area of healthcare research that offers benefits concerning patient safety and improved care. Simulation plays an increasing role in healthcare-based pedagogical activities, and emerging studies are confirming its benefits.
Despite a striking rise in the acceptability and uptake of simulation, its uses remain limited, and there is heterogeneity across disciplines and health related conditions. A lack of agreement around the processes of design and the associated benefits of simulation highlight a need for more research into its potential applications and the benefits and limitations that each type may offer. Current simulation models are also predominantly clinician-centred, addressing isolated segments of care without linking them up.
The emerging concept of SqS addresses this imbalance by using physical re-enactments of connected components of care to bridge gaps which patients encounter, but which often remain invisible to professionals. Sequential Simulation addresses factors joining health care progression, either in terms of time or from a patient's care pathway perspective. This requires simulation to be designed as a sequence of events cutting across individual specialities, locations, or professions.
Much simulation research to date has focused on the perceived value of practising procedures and the institutional importance of skills assessment. Less attention has been given to gaining an in-depth understanding of simulation design and to mapping its affordances. The goal of this research is to establish a framework to guide the design and development of Sequential Simulation.
The research outcomes include a Sequential Simulation model that can be applied to a range of healthcare settings, perspectives, and pedagogical approaches (training, education, and engagement). The results show that the proposed model is feasible and effective for designing sequential simulations.
Simulation is an emerging area of healthcare research that offers benefits concerning patient safety and improved care. Simulation plays an increasing role in healthcare-based pedagogical activities, and emerging studies are confirming its benefits.
Despite a striking rise in the acceptability and uptake of simulation, its uses remain limited, and there is heterogeneity across disciplines and health related conditions. A lack of agreement around the processes of design and the associated benefits of simulation highlight a need for more research into its potential applications and the benefits and limitations that each type may offer. Current simulation models are also predominantly clinician-centred, addressing isolated segments of care without linking them up.
The emerging concept of SqS addresses this imbalance by using physical re-enactments of connected components of care to bridge gaps which patients encounter, but which often remain invisible to professionals. Sequential Simulation addresses factors joining health care progression, either in terms of time or from a patient's care pathway perspective. This requires simulation to be designed as a sequence of events cutting across individual specialities, locations, or professions.
Much simulation research to date has focused on the perceived value of practising procedures and the institutional importance of skills assessment. Less attention has been given to gaining an in-depth understanding of simulation design and to mapping its affordances. The goal of this research is to establish a framework to guide the design and development of Sequential Simulation.
The research outcomes include a Sequential Simulation model that can be applied to a range of healthcare settings, perspectives, and pedagogical approaches (training, education, and engagement). The results show that the proposed model is feasible and effective for designing sequential simulations.
Version
Open Access
Date Issued
2017-01-16
Date Awarded
2017-06-01
Copyright Statement
Attribution-Non Commercial-No Derivatives 4.0 International Licence (CC BY-NC-ND)
Advisor
Kneebone, Roger
Bello, Fernando
Publisher Department
Department of Surgery & Cancer
Publisher Institution
Imperial College London
Qualification Level
Doctoral
Qualification Name
Doctor of Philosophy (PhD)