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Predictors of recognition of out of hospital cardiac arrest by emergency medical services call handlers in England: a mixed methods diagnostic accuracy study

BACKGROUND: The aim of this study was to identify key indicator symptoms and patient factors associated with correct out of hospital cardiac arrest (OHCA) dispatch allocation. In previous studies, from 3% to 62% of OHCAs are not recognised by Emergency Medical Service call handlers, resulting in del...

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Autores principales: Watkins, Caroline L., Jones, Stephanie P., Hurley, Margaret A., Benedetto, Valerio, Price, Christopher I., Sutton, Christopher J., Quinn, Tom, Bangee, Munirah, Chesworth, Brigit, Miller, Colette, Doran, Dawn, Siriwardena, Aloysius Niroshan, Gibson, Josephine M. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789721/
https://www.ncbi.nlm.nih.gov/pubmed/33407699
http://dx.doi.org/10.1186/s13049-020-00823-9
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author Watkins, Caroline L.
Jones, Stephanie P.
Hurley, Margaret A.
Benedetto, Valerio
Price, Christopher I.
Sutton, Christopher J.
Quinn, Tom
Bangee, Munirah
Chesworth, Brigit
Miller, Colette
Doran, Dawn
Siriwardena, Aloysius Niroshan
Gibson, Josephine M. E.
author_facet Watkins, Caroline L.
Jones, Stephanie P.
Hurley, Margaret A.
Benedetto, Valerio
Price, Christopher I.
Sutton, Christopher J.
Quinn, Tom
Bangee, Munirah
Chesworth, Brigit
Miller, Colette
Doran, Dawn
Siriwardena, Aloysius Niroshan
Gibson, Josephine M. E.
author_sort Watkins, Caroline L.
collection PubMed
description BACKGROUND: The aim of this study was to identify key indicator symptoms and patient factors associated with correct out of hospital cardiac arrest (OHCA) dispatch allocation. In previous studies, from 3% to 62% of OHCAs are not recognised by Emergency Medical Service call handlers, resulting in delayed arrival at scene. METHODS: Retrospective, mixed methods study including all suspected or confirmed OHCA patients transferred to one acute hospital from its associated regional Emergency Medical Service in England from 1/7/2013 to 30/6/2014. Emergency Medical Service and hospital data, including voice recordings of EMS calls, were analysed to identify predictors of recognition of OHCA by call handlers. Logistic regression was used to explore the role of the most frequently occurring (key) indicator symptoms and characteristics in predicting a correct dispatch for patients with OHCA. RESULTS: A total of 39,136 dispatches were made which resulted in transfer to the hospital within the study period, including 184 patients with OHCA. The use of the term ‘Unconscious’ plus one or more of symptoms ‘Not breathing/Ineffective breathing/Noisy breathing’ occurred in 79.8% of all OHCAs, but only 72.8% of OHCAs were correctly dispatched as such. ‘Not breathing’ was associated with recognition of OHCA by call handlers (Odds Ratio (OR) 3.76). The presence of key indicator symptoms ‘Breathing’ (OR 0.29), ‘Reduced or fluctuating level of consciousness’ (OR 0.24), abnormal pulse/heart rate (OR 0.26) and the characteristic ‘Female patient’ (OR 0.40) were associated with lack of recognition of OHCA by call handlers (p-values < 0.05). CONCLUSIONS: There is a small proportion of calls in which cardiac arrest indicators are described but the call is not dispatched as such. Stricter adherence to dispatch protocols may improve call handlers’ OHCA recognition. The existing dispatch protocol would not be improved by the addition of further terms as this would be at the expense of dispatch specificity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13049-020-00823-9.
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spelling pubmed-77897212021-01-07 Predictors of recognition of out of hospital cardiac arrest by emergency medical services call handlers in England: a mixed methods diagnostic accuracy study Watkins, Caroline L. Jones, Stephanie P. Hurley, Margaret A. Benedetto, Valerio Price, Christopher I. Sutton, Christopher J. Quinn, Tom Bangee, Munirah Chesworth, Brigit Miller, Colette Doran, Dawn Siriwardena, Aloysius Niroshan Gibson, Josephine M. E. Scand J Trauma Resusc Emerg Med Original Research BACKGROUND: The aim of this study was to identify key indicator symptoms and patient factors associated with correct out of hospital cardiac arrest (OHCA) dispatch allocation. In previous studies, from 3% to 62% of OHCAs are not recognised by Emergency Medical Service call handlers, resulting in delayed arrival at scene. METHODS: Retrospective, mixed methods study including all suspected or confirmed OHCA patients transferred to one acute hospital from its associated regional Emergency Medical Service in England from 1/7/2013 to 30/6/2014. Emergency Medical Service and hospital data, including voice recordings of EMS calls, were analysed to identify predictors of recognition of OHCA by call handlers. Logistic regression was used to explore the role of the most frequently occurring (key) indicator symptoms and characteristics in predicting a correct dispatch for patients with OHCA. RESULTS: A total of 39,136 dispatches were made which resulted in transfer to the hospital within the study period, including 184 patients with OHCA. The use of the term ‘Unconscious’ plus one or more of symptoms ‘Not breathing/Ineffective breathing/Noisy breathing’ occurred in 79.8% of all OHCAs, but only 72.8% of OHCAs were correctly dispatched as such. ‘Not breathing’ was associated with recognition of OHCA by call handlers (Odds Ratio (OR) 3.76). The presence of key indicator symptoms ‘Breathing’ (OR 0.29), ‘Reduced or fluctuating level of consciousness’ (OR 0.24), abnormal pulse/heart rate (OR 0.26) and the characteristic ‘Female patient’ (OR 0.40) were associated with lack of recognition of OHCA by call handlers (p-values < 0.05). CONCLUSIONS: There is a small proportion of calls in which cardiac arrest indicators are described but the call is not dispatched as such. Stricter adherence to dispatch protocols may improve call handlers’ OHCA recognition. The existing dispatch protocol would not be improved by the addition of further terms as this would be at the expense of dispatch specificity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13049-020-00823-9. BioMed Central 2021-01-06 /pmc/articles/PMC7789721/ /pubmed/33407699 http://dx.doi.org/10.1186/s13049-020-00823-9 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Original Research
Watkins, Caroline L.
Jones, Stephanie P.
Hurley, Margaret A.
Benedetto, Valerio
Price, Christopher I.
Sutton, Christopher J.
Quinn, Tom
Bangee, Munirah
Chesworth, Brigit
Miller, Colette
Doran, Dawn
Siriwardena, Aloysius Niroshan
Gibson, Josephine M. E.
Predictors of recognition of out of hospital cardiac arrest by emergency medical services call handlers in England: a mixed methods diagnostic accuracy study
title Predictors of recognition of out of hospital cardiac arrest by emergency medical services call handlers in England: a mixed methods diagnostic accuracy study
title_full Predictors of recognition of out of hospital cardiac arrest by emergency medical services call handlers in England: a mixed methods diagnostic accuracy study
title_fullStr Predictors of recognition of out of hospital cardiac arrest by emergency medical services call handlers in England: a mixed methods diagnostic accuracy study
title_full_unstemmed Predictors of recognition of out of hospital cardiac arrest by emergency medical services call handlers in England: a mixed methods diagnostic accuracy study
title_short Predictors of recognition of out of hospital cardiac arrest by emergency medical services call handlers in England: a mixed methods diagnostic accuracy study
title_sort predictors of recognition of out of hospital cardiac arrest by emergency medical services call handlers in england: a mixed methods diagnostic accuracy study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789721/
https://www.ncbi.nlm.nih.gov/pubmed/33407699
http://dx.doi.org/10.1186/s13049-020-00823-9
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