Cargando…

Expert opinions on the authenticity of moulage in simulation: a Delphi study

BACKGROUND: Moulage is a technique in which special effects makeup is used to create wounds and other effects in simulation to add context and create realism in an otherwise fabricated environment. The degree to which moulage is used in the simulated environment is varied; that is, there is no guide...

Descripción completa

Detalles Bibliográficos
Autores principales: Stokes-Parish, Jessica, Duvivier, Robbert, Jolly, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615296/
https://www.ncbi.nlm.nih.gov/pubmed/31333880
http://dx.doi.org/10.1186/s41077-019-0103-z
_version_ 1783433342219190272
author Stokes-Parish, Jessica
Duvivier, Robbert
Jolly, Brian
author_facet Stokes-Parish, Jessica
Duvivier, Robbert
Jolly, Brian
author_sort Stokes-Parish, Jessica
collection PubMed
description BACKGROUND: Moulage is a technique in which special effects makeup is used to create wounds and other effects in simulation to add context and create realism in an otherwise fabricated environment. The degree to which moulage is used in the simulated environment is varied; that is, there is no guide for how authentic it is required to be. To objectively assess whether a higher level of authenticity in moulage influences engagement and better outcomes, a common model to assess authenticity is required. The aim of this study was to explore expert opinions on moulage in simulation and develop an instrument for the classification of moulage in simulation. METHODS: The instrument was developed in 3 phases: expert panellist recruitment, domain identification, and consensus rounds. A Delphi technique was used to explore themes of authenticity using Dieckmann’s Theory of Realism as a frame of reference. An initial list of elements was raised by a panel of international experts. The experts participated in a further four rounds of questioning, identifying and then ranking and/or rating elements of authenticity in moulage. A priori consensus threshold was set at 80%. RESULTS: In round 1, 18 of 31 invited panellists participated, and a total of 10 completed round 5 (attrition 44%). As a result of the Delphi, the Moulage Authenticity Rating Scale was developed. Under the three domains of realism, 60 elements were identified by experts. A total of 13 elements reached the consensus threshold, whilst tensions regarding the necessity for authentic moulage were identified throughout the rounds. CONCLUSION: This study demonstrates the complexity of moulage in simulation, with particular challenges surrounding the experts’ views on authenticity. A prototype instrument for measuring moulage authenticity is presented in the form of the Moulage Authenticity Rating Scale (MARS) to further aid progress in understanding the role of authentic moulage in simulation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41077-019-0103-z) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6615296
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-66152962019-07-22 Expert opinions on the authenticity of moulage in simulation: a Delphi study Stokes-Parish, Jessica Duvivier, Robbert Jolly, Brian Adv Simul (Lond) Research BACKGROUND: Moulage is a technique in which special effects makeup is used to create wounds and other effects in simulation to add context and create realism in an otherwise fabricated environment. The degree to which moulage is used in the simulated environment is varied; that is, there is no guide for how authentic it is required to be. To objectively assess whether a higher level of authenticity in moulage influences engagement and better outcomes, a common model to assess authenticity is required. The aim of this study was to explore expert opinions on moulage in simulation and develop an instrument for the classification of moulage in simulation. METHODS: The instrument was developed in 3 phases: expert panellist recruitment, domain identification, and consensus rounds. A Delphi technique was used to explore themes of authenticity using Dieckmann’s Theory of Realism as a frame of reference. An initial list of elements was raised by a panel of international experts. The experts participated in a further four rounds of questioning, identifying and then ranking and/or rating elements of authenticity in moulage. A priori consensus threshold was set at 80%. RESULTS: In round 1, 18 of 31 invited panellists participated, and a total of 10 completed round 5 (attrition 44%). As a result of the Delphi, the Moulage Authenticity Rating Scale was developed. Under the three domains of realism, 60 elements were identified by experts. A total of 13 elements reached the consensus threshold, whilst tensions regarding the necessity for authentic moulage were identified throughout the rounds. CONCLUSION: This study demonstrates the complexity of moulage in simulation, with particular challenges surrounding the experts’ views on authenticity. A prototype instrument for measuring moulage authenticity is presented in the form of the Moulage Authenticity Rating Scale (MARS) to further aid progress in understanding the role of authentic moulage in simulation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41077-019-0103-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-08 /pmc/articles/PMC6615296/ /pubmed/31333880 http://dx.doi.org/10.1186/s41077-019-0103-z Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Stokes-Parish, Jessica
Duvivier, Robbert
Jolly, Brian
Expert opinions on the authenticity of moulage in simulation: a Delphi study
title Expert opinions on the authenticity of moulage in simulation: a Delphi study
title_full Expert opinions on the authenticity of moulage in simulation: a Delphi study
title_fullStr Expert opinions on the authenticity of moulage in simulation: a Delphi study
title_full_unstemmed Expert opinions on the authenticity of moulage in simulation: a Delphi study
title_short Expert opinions on the authenticity of moulage in simulation: a Delphi study
title_sort expert opinions on the authenticity of moulage in simulation: a delphi study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615296/
https://www.ncbi.nlm.nih.gov/pubmed/31333880
http://dx.doi.org/10.1186/s41077-019-0103-z
work_keys_str_mv AT stokesparishjessica expertopinionsontheauthenticityofmoulageinsimulationadelphistudy
AT duvivierrobbert expertopinionsontheauthenticityofmoulageinsimulationadelphistudy
AT jollybrian expertopinionsontheauthenticityofmoulageinsimulationadelphistudy