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Modeling variation of clinical team processes with multiple sequence alignment
Our objective was to model process variation of Emergency Medical Service teams responding to simulated pediatric emergencies and determine if sequence alignment distinguishes performance quality. We performed a retrospective process analysis by watching and coding activities in videos from standard...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024196/ https://www.ncbi.nlm.nih.gov/pubmed/35465616 http://dx.doi.org/10.1177/2059799119840985 |
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author | Bahr, Nathan J Herzberg, S Lambert, W Hansen, M McNulty, JJ Cohen, A Gorman, PN Guise, JM |
author_facet | Bahr, Nathan J Herzberg, S Lambert, W Hansen, M McNulty, JJ Cohen, A Gorman, PN Guise, JM |
author_sort | Bahr, Nathan J |
collection | PubMed |
description | Our objective was to model process variation of Emergency Medical Service teams responding to simulated pediatric emergencies and determine if sequence alignment distinguishes performance quality. We performed a retrospective process analysis by watching and coding activities in videos from standardized simulations of 42 Emergency Medical Service teams. Teams were classified into high- or low-performing groups based on the Clinical Teamwork Scale™. Activities were coded according to resuscitation tasks, performer, and times. We used ClustalG to align task sequences within and between groups, and measured similarity. Teams within and between performance levels had an average sequence similarity of 52 ± 7% and 50 ± 7%. Teams performed clinically appropriate tasks that varied in prioritization, for example, performing compressions or connecting the EKG monitor early. There was no statistical difference in gross similarity between groups but specific differences in prioritization may have had clinically meaningful implications. Alignment could improve by accounting for task duration and concurrency. |
format | Online Article Text |
id | pubmed-9024196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-90241962022-04-22 Modeling variation of clinical team processes with multiple sequence alignment Bahr, Nathan J Herzberg, S Lambert, W Hansen, M McNulty, JJ Cohen, A Gorman, PN Guise, JM Method Innov Article Our objective was to model process variation of Emergency Medical Service teams responding to simulated pediatric emergencies and determine if sequence alignment distinguishes performance quality. We performed a retrospective process analysis by watching and coding activities in videos from standardized simulations of 42 Emergency Medical Service teams. Teams were classified into high- or low-performing groups based on the Clinical Teamwork Scale™. Activities were coded according to resuscitation tasks, performer, and times. We used ClustalG to align task sequences within and between groups, and measured similarity. Teams within and between performance levels had an average sequence similarity of 52 ± 7% and 50 ± 7%. Teams performed clinically appropriate tasks that varied in prioritization, for example, performing compressions or connecting the EKG monitor early. There was no statistical difference in gross similarity between groups but specific differences in prioritization may have had clinically meaningful implications. Alignment could improve by accounting for task duration and concurrency. 2019 2019-04-29 /pmc/articles/PMC9024196/ /pubmed/35465616 http://dx.doi.org/10.1177/2059799119840985 Text en https://creativecommons.org/licenses/by-nc/4.0/Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Article Bahr, Nathan J Herzberg, S Lambert, W Hansen, M McNulty, JJ Cohen, A Gorman, PN Guise, JM Modeling variation of clinical team processes with multiple sequence alignment |
title | Modeling variation of clinical team processes with multiple sequence alignment |
title_full | Modeling variation of clinical team processes with multiple sequence alignment |
title_fullStr | Modeling variation of clinical team processes with multiple sequence alignment |
title_full_unstemmed | Modeling variation of clinical team processes with multiple sequence alignment |
title_short | Modeling variation of clinical team processes with multiple sequence alignment |
title_sort | modeling variation of clinical team processes with multiple sequence alignment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024196/ https://www.ncbi.nlm.nih.gov/pubmed/35465616 http://dx.doi.org/10.1177/2059799119840985 |
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