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A Mixed Methods Study Identifying the Competencies of Health Care Simulation Technicians

INTRODUCTION: Health care simulation technicians (HSTs), also referred to as simulation operations specialists, are essential to the delivery of simulation-based education. The HST role draws on a broad range of knowledge, skills, and attitude competencies. However, because of the neoteric nature of...

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Autores principales: Roche, Adam F., Condron, Claire M., Eppich, Walter J., O'Connor, Paul E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581406/
https://www.ncbi.nlm.nih.gov/pubmed/35940598
http://dx.doi.org/10.1097/SIH.0000000000000682
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author Roche, Adam F.
Condron, Claire M.
Eppich, Walter J.
O'Connor, Paul E.
author_facet Roche, Adam F.
Condron, Claire M.
Eppich, Walter J.
O'Connor, Paul E.
author_sort Roche, Adam F.
collection PubMed
description INTRODUCTION: Health care simulation technicians (HSTs), also referred to as simulation operations specialists, are essential to the delivery of simulation-based education. The HST role draws on a broad range of knowledge, skills, and attitude competencies. However, because of the neoteric nature of the HST role and the ambiguity surrounding the core responsibilities of the position, it has proved difficult to identify the competencies required to perform this role successfully. This study aims to identify the knowledge, skills, and attitude competencies required by HSTs. METHODS: A mixed methods approach was used in this study. Data were collected from (1) online searches of HST job descriptions and (2) semistructured interviews about the competencies required by HSTs with 10 HSTs, 10 health care simulation educators, and 10 health care simulation center managers/director. The data from the job descriptions and interviews were analyzed using thematic analysis, using a framework method to guide the coding. RESULTS: A total of 59 competencies were identified from the job descriptions and 65 competencies from the interviews. This analysis resulted in the identification of 9 competency domains: 3 knowledge domains (technical, clinical, and pedagogic), 4 skills domains (resourcefulness, pedagogic, team, and technical), and 2 attitudes domains (professional and “can-do” mentality). CONCLUSIONS: The identification of the competencies required by HSTs will support the selection of candidates with the attributes that will allow them to be successful in this role and guide continuous professional development opportunities for current and future HSTs.
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spelling pubmed-105814062023-10-18 A Mixed Methods Study Identifying the Competencies of Health Care Simulation Technicians Roche, Adam F. Condron, Claire M. Eppich, Walter J. O'Connor, Paul E. Simul Healthc Empirical Investigations INTRODUCTION: Health care simulation technicians (HSTs), also referred to as simulation operations specialists, are essential to the delivery of simulation-based education. The HST role draws on a broad range of knowledge, skills, and attitude competencies. However, because of the neoteric nature of the HST role and the ambiguity surrounding the core responsibilities of the position, it has proved difficult to identify the competencies required to perform this role successfully. This study aims to identify the knowledge, skills, and attitude competencies required by HSTs. METHODS: A mixed methods approach was used in this study. Data were collected from (1) online searches of HST job descriptions and (2) semistructured interviews about the competencies required by HSTs with 10 HSTs, 10 health care simulation educators, and 10 health care simulation center managers/director. The data from the job descriptions and interviews were analyzed using thematic analysis, using a framework method to guide the coding. RESULTS: A total of 59 competencies were identified from the job descriptions and 65 competencies from the interviews. This analysis resulted in the identification of 9 competency domains: 3 knowledge domains (technical, clinical, and pedagogic), 4 skills domains (resourcefulness, pedagogic, team, and technical), and 2 attitudes domains (professional and “can-do” mentality). CONCLUSIONS: The identification of the competencies required by HSTs will support the selection of candidates with the attributes that will allow them to be successful in this role and guide continuous professional development opportunities for current and future HSTs. Lippincott Williams & Wilkins 2023-10 2022-08-09 /pmc/articles/PMC10581406/ /pubmed/35940598 http://dx.doi.org/10.1097/SIH.0000000000000682 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Society for Simulation in Healthcare. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Empirical Investigations
Roche, Adam F.
Condron, Claire M.
Eppich, Walter J.
O'Connor, Paul E.
A Mixed Methods Study Identifying the Competencies of Health Care Simulation Technicians
title A Mixed Methods Study Identifying the Competencies of Health Care Simulation Technicians
title_full A Mixed Methods Study Identifying the Competencies of Health Care Simulation Technicians
title_fullStr A Mixed Methods Study Identifying the Competencies of Health Care Simulation Technicians
title_full_unstemmed A Mixed Methods Study Identifying the Competencies of Health Care Simulation Technicians
title_short A Mixed Methods Study Identifying the Competencies of Health Care Simulation Technicians
title_sort mixed methods study identifying the competencies of health care simulation technicians
topic Empirical Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581406/
https://www.ncbi.nlm.nih.gov/pubmed/35940598
http://dx.doi.org/10.1097/SIH.0000000000000682
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