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Discrepancy Between Clinician and Research Assistant in TIMI Score Calculation (TRIAGED CPU)

INTRODUCTION: Several studies have attempted to demonstrate that the Thrombolysis in Myocardial Infarction (TIMI) risk score has the ability to risk stratify emergency department (ED) patients with potential acute coronary syndromes (ACS). Most of the studies we reviewed relied on trained research i...

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Autores principales: Taylor, Brian T., Mancini, Michelino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Department of Emergency Medicine, University of California, Irvine School of Medicine 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4307721/
https://www.ncbi.nlm.nih.gov/pubmed/25671004
http://dx.doi.org/10.5811/westjem.2014.9.21685
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author Taylor, Brian T.
Mancini, Michelino
author_facet Taylor, Brian T.
Mancini, Michelino
author_sort Taylor, Brian T.
collection PubMed
description INTRODUCTION: Several studies have attempted to demonstrate that the Thrombolysis in Myocardial Infarction (TIMI) risk score has the ability to risk stratify emergency department (ED) patients with potential acute coronary syndromes (ACS). Most of the studies we reviewed relied on trained research investigators to determine TIMI risk scores rather than ED providers functioning in their normal work capacity. We assessed whether TIMI risk scores obtained by ED providers in the setting of a busy ED differed from those obtained by trained research investigators. METHODS: This was an ED-based prospective observational cohort study comparing TIMI scores obtained by 49 ED providers admitting patients to an ED chest pain unit (CPU) to scores generated by a team of trained research investigators. We examined provider type, patient gender, and TIMI elements for their effects on TIMI risk score discrepancy. RESULTS: Of the 501 adult patients enrolled in the study, 29.3% of TIMI risk scores determined by ED providers and trained research investigators were generated using identical TIMI risk score variables. In our low-risk population the majority of TIMI risk score differences were small; however, 12% of TIMI risk scores differed by two or more points. CONCLUSION: TIMI risk scores determined by ED providers in the setting of a busy ED frequently differ from scores generated by trained research investigators who complete them while not under the same pressure of an ED provider.
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spelling pubmed-43077212015-02-10 Discrepancy Between Clinician and Research Assistant in TIMI Score Calculation (TRIAGED CPU) Taylor, Brian T. Mancini, Michelino West J Emerg Med Population Health Research Design INTRODUCTION: Several studies have attempted to demonstrate that the Thrombolysis in Myocardial Infarction (TIMI) risk score has the ability to risk stratify emergency department (ED) patients with potential acute coronary syndromes (ACS). Most of the studies we reviewed relied on trained research investigators to determine TIMI risk scores rather than ED providers functioning in their normal work capacity. We assessed whether TIMI risk scores obtained by ED providers in the setting of a busy ED differed from those obtained by trained research investigators. METHODS: This was an ED-based prospective observational cohort study comparing TIMI scores obtained by 49 ED providers admitting patients to an ED chest pain unit (CPU) to scores generated by a team of trained research investigators. We examined provider type, patient gender, and TIMI elements for their effects on TIMI risk score discrepancy. RESULTS: Of the 501 adult patients enrolled in the study, 29.3% of TIMI risk scores determined by ED providers and trained research investigators were generated using identical TIMI risk score variables. In our low-risk population the majority of TIMI risk score differences were small; however, 12% of TIMI risk scores differed by two or more points. CONCLUSION: TIMI risk scores determined by ED providers in the setting of a busy ED frequently differ from scores generated by trained research investigators who complete them while not under the same pressure of an ED provider. Department of Emergency Medicine, University of California, Irvine School of Medicine 2015-01 2014-11-11 /pmc/articles/PMC4307721/ /pubmed/25671004 http://dx.doi.org/10.5811/westjem.2014.9.21685 Text en Copyright © 2015 the authors. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by/4.0/.
spellingShingle Population Health Research Design
Taylor, Brian T.
Mancini, Michelino
Discrepancy Between Clinician and Research Assistant in TIMI Score Calculation (TRIAGED CPU)
title Discrepancy Between Clinician and Research Assistant in TIMI Score Calculation (TRIAGED CPU)
title_full Discrepancy Between Clinician and Research Assistant in TIMI Score Calculation (TRIAGED CPU)
title_fullStr Discrepancy Between Clinician and Research Assistant in TIMI Score Calculation (TRIAGED CPU)
title_full_unstemmed Discrepancy Between Clinician and Research Assistant in TIMI Score Calculation (TRIAGED CPU)
title_short Discrepancy Between Clinician and Research Assistant in TIMI Score Calculation (TRIAGED CPU)
title_sort discrepancy between clinician and research assistant in timi score calculation (triaged cpu)
topic Population Health Research Design
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4307721/
https://www.ncbi.nlm.nih.gov/pubmed/25671004
http://dx.doi.org/10.5811/westjem.2014.9.21685
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