Characterization of non-cardiac arrest PulsePoint activations in public and private settings
Abstract 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 occu...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-07-01
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| Series: | BMC Emergency Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12873-023-00849-z |
| _version_ | 1797769620515454976 |
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| author | Jennifer Blackwood Mohamud R. Daya Ben Sorenson Brian Schaeffer Mike Dawson Michael Charter James Mark Nania Julie Charbonneau Jeremy Robertson Michael Mancera Chris Carbon Dawn B. Jorgenson Mengqi Gao Richard Price Chris Rosse Thomas Rea |
| author_facet | Jennifer Blackwood Mohamud R. Daya Ben Sorenson Brian Schaeffer Mike Dawson Michael Charter James Mark Nania Julie Charbonneau Jeremy Robertson Michael Mancera Chris Carbon Dawn B. Jorgenson Mengqi Gao Richard Price Chris Rosse Thomas Rea |
| author_sort | Jennifer Blackwood |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-12T21:10:42Z |
| format | Article |
| id | doaj.art-214aa10715f447a8a7ce7c0af15ff136 |
| institution | Directory Open Access Journal |
| issn | 1471-227X |
| language | English |
| last_indexed | 2024-03-12T21:10:42Z |
| publishDate | 2023-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Emergency Medicine |
| spelling | doaj.art-214aa10715f447a8a7ce7c0af15ff1362023-07-30T11:09:25ZengBMCBMC Emergency Medicine1471-227X2023-07-012311810.1186/s12873-023-00849-zCharacterization of non-cardiac arrest PulsePoint activations in public and private settingsJennifer Blackwood0Mohamud R. Daya1Ben Sorenson2Brian Schaeffer3Mike Dawson4Michael Charter5James Mark Nania6Julie Charbonneau7Jeremy Robertson8Michael Mancera9Chris Carbon10Dawn B. Jorgenson11Mengqi Gao12Richard Price13Chris Rosse14Thomas Rea15Seattle & King County Public HealthOregon Health & Sciences UniversityTualatin Valley Fire & RescueCity of Spokane Fire DeptCity of Spokane Fire DeptSpokane Valley FireCity of Spokane Fire DeptSioux Falls Fire & RescueSioux Falls Fire & RescueUniversity of Wisconsin-MadisonCity of Madison Fire DepartmentPhilips MedicalPhilips MedicalPulsePoint FoundationUniversity of WashingtonSeattle & King County Public HealthAbstract 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.https://doi.org/10.1186/s12873-023-00849-zOut-of-hospital cardiac arrestSocial mediaCrowdsourcingEmergency medical servicesPrehospital |
| spellingShingle | Jennifer Blackwood Mohamud R. Daya Ben Sorenson Brian Schaeffer Mike Dawson Michael Charter James Mark Nania Julie Charbonneau Jeremy Robertson Michael Mancera Chris Carbon Dawn B. Jorgenson Mengqi Gao Richard Price Chris Rosse Thomas Rea Characterization of non-cardiac arrest PulsePoint activations in public and private settings BMC Emergency Medicine Out-of-hospital cardiac arrest Social media Crowdsourcing Emergency medical services Prehospital |
| 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 | Out-of-hospital cardiac arrest Social media Crowdsourcing Emergency medical services Prehospital |
| url | https://doi.org/10.1186/s12873-023-00849-z |
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