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Characterization of non-cardiac arrest PulsePoint activations in public and private settings
BACKGROUND: Geospatial smartphone application alert systems are used in some communities to crowdsource community response for out-of-hospital cardiac arrest (OHCA). Although the clinical focus of this strategy is OHCA, dispatch identification of OHCA is imperfect so that activation may occur for th...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375779/ https://www.ncbi.nlm.nih.gov/pubmed/37501072 http://dx.doi.org/10.1186/s12873-023-00849-z |
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author | Blackwood, Jennifer Daya, Mohamud R. Sorenson, Ben Schaeffer, Brian Dawson, Mike Charter, Michael Nania, James Mark Charbonneau, Julie Robertson, Jeremy Mancera, Michael Carbon, Chris Jorgenson, Dawn B. Gao, Mengqi Price, Richard Rosse, Chris Rea, Thomas |
author_facet | Blackwood, Jennifer Daya, Mohamud R. Sorenson, Ben Schaeffer, Brian Dawson, Mike Charter, Michael Nania, James Mark Charbonneau, Julie Robertson, Jeremy Mancera, Michael Carbon, Chris Jorgenson, Dawn B. Gao, Mengqi Price, Richard Rosse, Chris Rea, Thomas |
author_sort | Blackwood, Jennifer |
collection | PubMed |
description | BACKGROUND: Geospatial smartphone application alert systems are used in some communities to crowdsource community response for out-of-hospital cardiac arrest (OHCA). Although the clinical focus of this strategy is OHCA, dispatch identification of OHCA is imperfect so that activation may occur for the non-arrest patient. The frequency and clinical profile of such non-arrest patients has not been well-investigated. METHODS: We undertook a prospective 3-year cohort investigation of patients for whom a smartphone geospatial application was activated for suspected OHCA in four United States communities (total population ~1 million). The current investigation evaluates those patients with an activation for suspected OHCA who did not experience cardiac arrest. The volunteer response cohort included off-duty, volunteer public safety personnel (verified responders) notified regardless of location (public or private) and laypersons notified to public locations. The study linked the smartphone application information with the EMS records to report the frequency, condition type, and EMS treatment for these non-arrest patients. RESULTS: Of 1779 calls where volunteers were activated, 756 had suffered OHCA, resulting in 1023 non-arrest patients for study evaluation. The most common EMS assessments were syncope (15.9%, n=163), altered mental status (15.5%, n=159), seizure (14.3%, n=146), overdose (13.0%, n=133), and choking (10.5%, n=107). The assessment distribution was similar for private and public locations. Overall, the most common EMS interventions included placement of an intravenous line (43.1%, n=441), 12-Lead ECG(27.9%, n=285), naloxone treatment (9.8%, n=100), airway or ventilation assistance (8.7%, n=89), and oxygen administration (6.6%, n=68). CONCLUSIONS: More than half of patients activated for suspected OHCA had conditions other than cardiac arrest. A subset of these conditions may benefit from earlier care that could be provided by both layperson and public safety volunteers if they were appropriately trained and equipped. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12873-023-00849-z. |
format | Online Article Text |
id | pubmed-10375779 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103757792023-07-29 Characterization of non-cardiac arrest PulsePoint activations in public and private settings Blackwood, Jennifer Daya, Mohamud R. Sorenson, Ben Schaeffer, Brian Dawson, Mike Charter, Michael Nania, James Mark Charbonneau, Julie Robertson, Jeremy Mancera, Michael Carbon, Chris Jorgenson, Dawn B. Gao, Mengqi Price, Richard Rosse, Chris Rea, Thomas BMC Emerg Med Research BACKGROUND: Geospatial smartphone application alert systems are used in some communities to crowdsource community response for out-of-hospital cardiac arrest (OHCA). Although the clinical focus of this strategy is OHCA, dispatch identification of OHCA is imperfect so that activation may occur for the non-arrest patient. The frequency and clinical profile of such non-arrest patients has not been well-investigated. METHODS: We undertook a prospective 3-year cohort investigation of patients for whom a smartphone geospatial application was activated for suspected OHCA in four United States communities (total population ~1 million). The current investigation evaluates those patients with an activation for suspected OHCA who did not experience cardiac arrest. The volunteer response cohort included off-duty, volunteer public safety personnel (verified responders) notified regardless of location (public or private) and laypersons notified to public locations. The study linked the smartphone application information with the EMS records to report the frequency, condition type, and EMS treatment for these non-arrest patients. RESULTS: Of 1779 calls where volunteers were activated, 756 had suffered OHCA, resulting in 1023 non-arrest patients for study evaluation. The most common EMS assessments were syncope (15.9%, n=163), altered mental status (15.5%, n=159), seizure (14.3%, n=146), overdose (13.0%, n=133), and choking (10.5%, n=107). The assessment distribution was similar for private and public locations. Overall, the most common EMS interventions included placement of an intravenous line (43.1%, n=441), 12-Lead ECG(27.9%, n=285), naloxone treatment (9.8%, n=100), airway or ventilation assistance (8.7%, n=89), and oxygen administration (6.6%, n=68). CONCLUSIONS: More than half of patients activated for suspected OHCA had conditions other than cardiac arrest. A subset of these conditions may benefit from earlier care that could be provided by both layperson and public safety volunteers if they were appropriately trained and equipped. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12873-023-00849-z. BioMed Central 2023-07-27 /pmc/articles/PMC10375779/ /pubmed/37501072 http://dx.doi.org/10.1186/s12873-023-00849-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 | Research Blackwood, Jennifer Daya, Mohamud R. Sorenson, Ben Schaeffer, Brian Dawson, Mike Charter, Michael Nania, James Mark Charbonneau, Julie Robertson, Jeremy Mancera, Michael Carbon, Chris Jorgenson, Dawn B. Gao, Mengqi Price, Richard Rosse, Chris Rea, Thomas Characterization of non-cardiac arrest PulsePoint activations in public and private settings |
title | Characterization of non-cardiac arrest PulsePoint activations in public and private settings |
title_full | Characterization of non-cardiac arrest PulsePoint activations in public and private settings |
title_fullStr | Characterization of non-cardiac arrest PulsePoint activations in public and private settings |
title_full_unstemmed | Characterization of non-cardiac arrest PulsePoint activations in public and private settings |
title_short | Characterization of non-cardiac arrest PulsePoint activations in public and private settings |
title_sort | characterization of non-cardiac arrest pulsepoint activations in public and private settings |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375779/ https://www.ncbi.nlm.nih.gov/pubmed/37501072 http://dx.doi.org/10.1186/s12873-023-00849-z |
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