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Conducting multicenter research in healthcare simulation: Lessons learned from the INSPIRE network
Simulation-based research has grown substantially over the past two decades; however, relatively few published simulation studies are multicenter in nature. Multicenter research confers many distinct advantages over single-center studies, including larger sample sizes for more generalizable findings...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5806260/ https://www.ncbi.nlm.nih.gov/pubmed/29450007 http://dx.doi.org/10.1186/s41077-017-0039-0 |
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author | Cheng, Adam Kessler, David Mackinnon, Ralph Chang, Todd P. Nadkarni, Vinay M. Hunt, Elizabeth A. Duval-Arnould, Jordan Lin, Yiqun Pusic, Martin Auerbach, Marc |
author_facet | Cheng, Adam Kessler, David Mackinnon, Ralph Chang, Todd P. Nadkarni, Vinay M. Hunt, Elizabeth A. Duval-Arnould, Jordan Lin, Yiqun Pusic, Martin Auerbach, Marc |
author_sort | Cheng, Adam |
collection | PubMed |
description | Simulation-based research has grown substantially over the past two decades; however, relatively few published simulation studies are multicenter in nature. Multicenter research confers many distinct advantages over single-center studies, including larger sample sizes for more generalizable findings, sharing resources amongst collaborative sites, and promoting networking. Well-executed multicenter studies are more likely to improve provider performance and/or have a positive impact on patient outcomes. In this manuscript, we offer a step-by-step guide to conducting multicenter, simulation-based research based upon our collective experience with the International Network for Simulation-based Pediatric Innovation, Research and Education (INSPIRE). Like multicenter clinical research, simulation-based multicenter research can be divided into four distinct phases. Each phase has specific differences when applied to simulation research: (1) Planning phase, to define the research question, systematically review the literature, identify outcome measures, and conduct pilot studies to ensure feasibility and estimate power; (2) Project Development phase, when the primary investigator identifies collaborators, develops the protocol and research operations manual, prepares grant applications, obtains ethical approval and executes subsite contracts, registers the study in a clinical trial registry, forms a manuscript oversight committee, and conducts feasibility testing and data validation at each site; (3) Study Execution phase, involving recruitment and enrollment of subjects, clear communication and decision-making, quality assurance measures and data abstraction, validation, and analysis; and (4) Dissemination phase, where the research team shares results via conference presentations, publications, traditional media, social media, and implements strategies for translating results to practice. With this manuscript, we provide a guide to conducting quantitative multicenter research with a focus on simulation-specific issues. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s41077-017-0039-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5806260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58062602018-02-15 Conducting multicenter research in healthcare simulation: Lessons learned from the INSPIRE network Cheng, Adam Kessler, David Mackinnon, Ralph Chang, Todd P. Nadkarni, Vinay M. Hunt, Elizabeth A. Duval-Arnould, Jordan Lin, Yiqun Pusic, Martin Auerbach, Marc Adv Simul (Lond) Commentary Simulation-based research has grown substantially over the past two decades; however, relatively few published simulation studies are multicenter in nature. Multicenter research confers many distinct advantages over single-center studies, including larger sample sizes for more generalizable findings, sharing resources amongst collaborative sites, and promoting networking. Well-executed multicenter studies are more likely to improve provider performance and/or have a positive impact on patient outcomes. In this manuscript, we offer a step-by-step guide to conducting multicenter, simulation-based research based upon our collective experience with the International Network for Simulation-based Pediatric Innovation, Research and Education (INSPIRE). Like multicenter clinical research, simulation-based multicenter research can be divided into four distinct phases. Each phase has specific differences when applied to simulation research: (1) Planning phase, to define the research question, systematically review the literature, identify outcome measures, and conduct pilot studies to ensure feasibility and estimate power; (2) Project Development phase, when the primary investigator identifies collaborators, develops the protocol and research operations manual, prepares grant applications, obtains ethical approval and executes subsite contracts, registers the study in a clinical trial registry, forms a manuscript oversight committee, and conducts feasibility testing and data validation at each site; (3) Study Execution phase, involving recruitment and enrollment of subjects, clear communication and decision-making, quality assurance measures and data abstraction, validation, and analysis; and (4) Dissemination phase, where the research team shares results via conference presentations, publications, traditional media, social media, and implements strategies for translating results to practice. With this manuscript, we provide a guide to conducting quantitative multicenter research with a focus on simulation-specific issues. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s41077-017-0039-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-28 /pmc/articles/PMC5806260/ /pubmed/29450007 http://dx.doi.org/10.1186/s41077-017-0039-0 Text en © The Author(s) 2017 Open AccessThis 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 | Commentary Cheng, Adam Kessler, David Mackinnon, Ralph Chang, Todd P. Nadkarni, Vinay M. Hunt, Elizabeth A. Duval-Arnould, Jordan Lin, Yiqun Pusic, Martin Auerbach, Marc Conducting multicenter research in healthcare simulation: Lessons learned from the INSPIRE network |
title | Conducting multicenter research in healthcare simulation: Lessons learned from the INSPIRE network |
title_full | Conducting multicenter research in healthcare simulation: Lessons learned from the INSPIRE network |
title_fullStr | Conducting multicenter research in healthcare simulation: Lessons learned from the INSPIRE network |
title_full_unstemmed | Conducting multicenter research in healthcare simulation: Lessons learned from the INSPIRE network |
title_short | Conducting multicenter research in healthcare simulation: Lessons learned from the INSPIRE network |
title_sort | conducting multicenter research in healthcare simulation: lessons learned from the inspire network |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5806260/ https://www.ncbi.nlm.nih.gov/pubmed/29450007 http://dx.doi.org/10.1186/s41077-017-0039-0 |
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