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Increasing bystander CPR: potential of a one question telecommunicator identification algorithm
OBJECTIVES: Telecommunicators use a two-question algorithm to identify cardiac arrest: Is the individual conscious? Is the individual breathing normally? Although this approach increases arrest identification and consequently bystander CPR, the strategy does not identify all arrests and requires tim...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427995/ https://www.ncbi.nlm.nih.gov/pubmed/25963635 http://dx.doi.org/10.1186/s13049-015-0115-1 |
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author | Orpet, Ross Riesenberg, Randi Shin, Jenny Subido, Cleo Markul, Eddie Rea, Thomas |
author_facet | Orpet, Ross Riesenberg, Randi Shin, Jenny Subido, Cleo Markul, Eddie Rea, Thomas |
author_sort | Orpet, Ross |
collection | PubMed |
description | OBJECTIVES: Telecommunicators use a two-question algorithm to identify cardiac arrest: Is the individual conscious? Is the individual breathing normally? Although this approach increases arrest identification and consequently bystander CPR, the strategy does not identify all arrests and requires time to complete. We evaluated the implications of a one-question strategy that inquired only about consciousness. METHODS: We undertook a 3-month observational study of consecutive cases identified as unconscious by the telecommunicator prior to EMS arrival who were not receiving bystander CPR. We evaluated the extent that a one-question strategy could increase arrest identification and reduce the identification interval; and the trade-off whereby additional persons without arrest could potentially receive CPR. RESULTS: Among 679 eligible cases, 20% (n = 135) were in arrest and 80% (n = 544) were not in arrest. The two-question algorithm identified 90% (121/135) as true arrest. Of the 135 in arrest, 70% (n = 95) received compressions. The median interval from call to arrest identification was 72 seconds, with a median of 14 seconds for the breathing normally question. Using the two-question algorithm, telecommunicators incorrectly classified 30% (n = 164/544) of non-arrests as arrest. Bystanders proceeded to compressions in 16% (n = 85/544) of persons not in arrest. A one-question approach that inquired only about consciousness could potentially increase the arrest identification by 10% (14/135) and reduce the interval to compressions by a median of 14 seconds; however the strategy would potentially triple the number of non-arrest cases (544 versus 164) eligible for CPR instructions. CONCLUSION: A single-question arrest identification algorithm may not achieve a favorable balance of risk and benefit. |
format | Online Article Text |
id | pubmed-4427995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44279952015-05-13 Increasing bystander CPR: potential of a one question telecommunicator identification algorithm Orpet, Ross Riesenberg, Randi Shin, Jenny Subido, Cleo Markul, Eddie Rea, Thomas Scand J Trauma Resusc Emerg Med Original Research OBJECTIVES: Telecommunicators use a two-question algorithm to identify cardiac arrest: Is the individual conscious? Is the individual breathing normally? Although this approach increases arrest identification and consequently bystander CPR, the strategy does not identify all arrests and requires time to complete. We evaluated the implications of a one-question strategy that inquired only about consciousness. METHODS: We undertook a 3-month observational study of consecutive cases identified as unconscious by the telecommunicator prior to EMS arrival who were not receiving bystander CPR. We evaluated the extent that a one-question strategy could increase arrest identification and reduce the identification interval; and the trade-off whereby additional persons without arrest could potentially receive CPR. RESULTS: Among 679 eligible cases, 20% (n = 135) were in arrest and 80% (n = 544) were not in arrest. The two-question algorithm identified 90% (121/135) as true arrest. Of the 135 in arrest, 70% (n = 95) received compressions. The median interval from call to arrest identification was 72 seconds, with a median of 14 seconds for the breathing normally question. Using the two-question algorithm, telecommunicators incorrectly classified 30% (n = 164/544) of non-arrests as arrest. Bystanders proceeded to compressions in 16% (n = 85/544) of persons not in arrest. A one-question approach that inquired only about consciousness could potentially increase the arrest identification by 10% (14/135) and reduce the interval to compressions by a median of 14 seconds; however the strategy would potentially triple the number of non-arrest cases (544 versus 164) eligible for CPR instructions. CONCLUSION: A single-question arrest identification algorithm may not achieve a favorable balance of risk and benefit. BioMed Central 2015-05-13 /pmc/articles/PMC4427995/ /pubmed/25963635 http://dx.doi.org/10.1186/s13049-015-0115-1 Text en © Orpet et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 | Original Research Orpet, Ross Riesenberg, Randi Shin, Jenny Subido, Cleo Markul, Eddie Rea, Thomas Increasing bystander CPR: potential of a one question telecommunicator identification algorithm |
title | Increasing bystander CPR: potential of a one question telecommunicator identification algorithm |
title_full | Increasing bystander CPR: potential of a one question telecommunicator identification algorithm |
title_fullStr | Increasing bystander CPR: potential of a one question telecommunicator identification algorithm |
title_full_unstemmed | Increasing bystander CPR: potential of a one question telecommunicator identification algorithm |
title_short | Increasing bystander CPR: potential of a one question telecommunicator identification algorithm |
title_sort | increasing bystander cpr: potential of a one question telecommunicator identification algorithm |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427995/ https://www.ncbi.nlm.nih.gov/pubmed/25963635 http://dx.doi.org/10.1186/s13049-015-0115-1 |
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