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Development and validation of clinical performance assessment in simulated medical emergencies: an observational study
BACKGROUND: Critical illness is a time-sensitive process which requires practitioners to process vast quantities of data and make decisions rapidly. We have developed a tool, the Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN), aimed at enhancing care delivery in such situat...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4715281/ https://www.ncbi.nlm.nih.gov/pubmed/26772732 http://dx.doi.org/10.1186/s12873-015-0066-x |
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author | Erdogan, Aysen Dong, Yue Chen, Xiaomei Schmickl, Christopher Sevilla Berrios, Ronaldo A. Garcia Arguello, Lisbeth Y. Kashyap, Rahul Kilickaya, Oguz Pickering, Brian Gajic, Ognjen O’Horo, John C. |
author_facet | Erdogan, Aysen Dong, Yue Chen, Xiaomei Schmickl, Christopher Sevilla Berrios, Ronaldo A. Garcia Arguello, Lisbeth Y. Kashyap, Rahul Kilickaya, Oguz Pickering, Brian Gajic, Ognjen O’Horo, John C. |
author_sort | Erdogan, Aysen |
collection | PubMed |
description | BACKGROUND: Critical illness is a time-sensitive process which requires practitioners to process vast quantities of data and make decisions rapidly. We have developed a tool, the Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN), aimed at enhancing care delivery in such situations. To determine the efficacy of CERTAIN and similar cognitive aids, we developed rubric for evaluating provider performance in a simulated medical resuscitation environments. METHODS: We recruited 18 clinicians with current valid ACLS certification for evaluation in three simulated medical scenarios designed to mimic typical medical decompensation events routinely experienced in clinical care. Subjects were stratified as experienced or novice based on prior critical care training. A checklist of critical actions was designed using face validity for each scenario to evaluate task completion and performance. Simulation sessions were video recorded and scored by two independent raters. Construct validity was assessed under the assumption that experienced clinicians should perform better than novice clinicians on each task. Reliability was assessed as percentage agreement, kappa statistics and Bland-Altman plots as appropriate. RESULTS: Eleven experts and seven novices completed evaluation. The overall agreement on common checklist item completion was 84.8 %. The overall model achieved face validity and was consistent with our construct, with experienced clinicians trending towards better performance compared to novices for accuracy and speed of task completion. CONCLUSIONS: A standardized video assessment tool has potential to provide a valid and reliable method to assess 12 performances of clinicians facing simulated medical emergencies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12873-015-0066-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4715281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47152812016-01-17 Development and validation of clinical performance assessment in simulated medical emergencies: an observational study Erdogan, Aysen Dong, Yue Chen, Xiaomei Schmickl, Christopher Sevilla Berrios, Ronaldo A. Garcia Arguello, Lisbeth Y. Kashyap, Rahul Kilickaya, Oguz Pickering, Brian Gajic, Ognjen O’Horo, John C. BMC Emerg Med Research Article BACKGROUND: Critical illness is a time-sensitive process which requires practitioners to process vast quantities of data and make decisions rapidly. We have developed a tool, the Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN), aimed at enhancing care delivery in such situations. To determine the efficacy of CERTAIN and similar cognitive aids, we developed rubric for evaluating provider performance in a simulated medical resuscitation environments. METHODS: We recruited 18 clinicians with current valid ACLS certification for evaluation in three simulated medical scenarios designed to mimic typical medical decompensation events routinely experienced in clinical care. Subjects were stratified as experienced or novice based on prior critical care training. A checklist of critical actions was designed using face validity for each scenario to evaluate task completion and performance. Simulation sessions were video recorded and scored by two independent raters. Construct validity was assessed under the assumption that experienced clinicians should perform better than novice clinicians on each task. Reliability was assessed as percentage agreement, kappa statistics and Bland-Altman plots as appropriate. RESULTS: Eleven experts and seven novices completed evaluation. The overall agreement on common checklist item completion was 84.8 %. The overall model achieved face validity and was consistent with our construct, with experienced clinicians trending towards better performance compared to novices for accuracy and speed of task completion. CONCLUSIONS: A standardized video assessment tool has potential to provide a valid and reliable method to assess 12 performances of clinicians facing simulated medical emergencies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12873-015-0066-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-15 /pmc/articles/PMC4715281/ /pubmed/26772732 http://dx.doi.org/10.1186/s12873-015-0066-x Text en © Erdogan et al. 2016 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 | Research Article Erdogan, Aysen Dong, Yue Chen, Xiaomei Schmickl, Christopher Sevilla Berrios, Ronaldo A. Garcia Arguello, Lisbeth Y. Kashyap, Rahul Kilickaya, Oguz Pickering, Brian Gajic, Ognjen O’Horo, John C. Development and validation of clinical performance assessment in simulated medical emergencies: an observational study |
title | Development and validation of clinical performance assessment in simulated medical emergencies: an observational study |
title_full | Development and validation of clinical performance assessment in simulated medical emergencies: an observational study |
title_fullStr | Development and validation of clinical performance assessment in simulated medical emergencies: an observational study |
title_full_unstemmed | Development and validation of clinical performance assessment in simulated medical emergencies: an observational study |
title_short | Development and validation of clinical performance assessment in simulated medical emergencies: an observational study |
title_sort | development and validation of clinical performance assessment in simulated medical emergencies: an observational study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4715281/ https://www.ncbi.nlm.nih.gov/pubmed/26772732 http://dx.doi.org/10.1186/s12873-015-0066-x |
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