Telemedical Direction to Optimize Resource Utilization in a Rural Emergency Medical Services System
Telemedicine remains an underused tool in rural emergency medical servces (EMS) systems. Rural emergency medical technicians (EMT) and paramedics cite concerns that telemedicine could increase Advanced Life Support (ALS) transports, extend on-scene times, and face challenges related to connectivity...
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Published in: | The western journal of emergency medicine Vol. 25; no. 5; pp. 777 - 783 |
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Main Authors: | , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
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United States
Department of Emergency Medicine, University of California, Irvine School of Medicine
01-09-2024
eScholarship Publishing, University of California |
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Abstract | Telemedicine remains an underused tool in rural emergency medical servces (EMS) systems. Rural emergency medical technicians (EMT) and paramedics cite concerns that telemedicine could increase Advanced Life Support (ALS) transports, extend on-scene times, and face challenges related to connectivity as barriers to implementation. Our aim in this project was to implement a telemedicine system in a rural EMS setting and assess the impact of telemedicine on EMS management of patients with chest pain while evaluating some of the perceived barriers.
This study was a mixed-methods, retrospective review of quality assurance data collected prior to and after implementation of a telemedicine program targeting patients with chest pain. We compared quantitative data from the 12-month pre-implementation phase to data from 15 months post-implementation. Patients were included if they had a chief complaint of chest pain or a 12-lead electrocardiogram had been obtained. The primary outcome was the rate of ALS transport before and after program implementation. Secondary outcomes included EMS call response times and EMS agency performance on quality improvement benchmarks. Qualitative data were also collected after each telemedicine encounter to evaluate paramedic/EMT and EMS physician perception of call quality.
The telemedicine pilot project was implemented in September 2020. Overall, there were 58 successful encounters. For this analysis, we included 38 patients in both the pre-implementation period (September 9, 2019-September 10, 2020) and the post-implementation period (September 11, 2020-December 5, 2021). Among this population, the ALS transport rate was 42% before and 45% after implementation (odds ratio 1.11; 95% confidence interval 0.45-2.76). The EMS median out-of-service times were 47 minutes before, and 33 minutes after (
= 0.07). Overall, 64% of paramedics/EMTs and 89% of EMS physicians rated the telemedicine call quality as "good."
In this rural EMS system, a telehealth platform was successfully used to connect paramedics/EMTs to board-certified EMS physicians over a 15-month period. Telemedicine use did not alter rates of ALS transports and did not increase on-scene time. The majority of paramedics/EMTs and EMS physicians rated the quality of the telemedicine connection as "good." |
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AbstractList | Telemedicine remains an underused tool in rural emergency medical servces (EMS) systems. Rural emergency medical technicians (EMT) and paramedics cite concerns that telemedicine could increase Advanced Life Support (ALS) transports, extend on-scene times, and face challenges related to connectivity as barriers to implementation. Our aim in this project was to implement a telemedicine system in a rural EMS setting and assess the impact of telemedicine on EMS management of patients with chest pain while evaluating some of the perceived barriers.BackgroundTelemedicine remains an underused tool in rural emergency medical servces (EMS) systems. Rural emergency medical technicians (EMT) and paramedics cite concerns that telemedicine could increase Advanced Life Support (ALS) transports, extend on-scene times, and face challenges related to connectivity as barriers to implementation. Our aim in this project was to implement a telemedicine system in a rural EMS setting and assess the impact of telemedicine on EMS management of patients with chest pain while evaluating some of the perceived barriers.This study was a mixed-methods, retrospective review of quality assurance data collected prior to and after implementation of a telemedicine program targeting patients with chest pain. We compared quantitative data from the 12-month pre-implementation phase to data from 15 months post-implementation. Patients were included if they had a chief complaint of chest pain or a 12-lead electrocardiogram had been obtained. The primary outcome was the rate of ALS transport before and after program implementation. Secondary outcomes included EMS call response times and EMS agency performance on quality improvement benchmarks. Qualitative data were also collected after each telemedicine encounter to evaluate paramedic/EMT and EMS physician perception of call quality.MethodsThis study was a mixed-methods, retrospective review of quality assurance data collected prior to and after implementation of a telemedicine program targeting patients with chest pain. We compared quantitative data from the 12-month pre-implementation phase to data from 15 months post-implementation. Patients were included if they had a chief complaint of chest pain or a 12-lead electrocardiogram had been obtained. The primary outcome was the rate of ALS transport before and after program implementation. Secondary outcomes included EMS call response times and EMS agency performance on quality improvement benchmarks. Qualitative data were also collected after each telemedicine encounter to evaluate paramedic/EMT and EMS physician perception of call quality.The telemedicine pilot project was implemented in September 2020. Overall, there were 58 successful encounters. For this analysis, we included 38 patients in both the pre-implementation period (September 9, 2019-September 10, 2020) and the post-implementation period (September 11, 2020-December 5, 2021). Among this population, the ALS transport rate was 42% before and 45% after implementation (odds ratio 1.11; 95% confidence interval 0.45-2.76). The EMS median out-of-service times were 47 minutes before, and 33 minutes after (P = 0.07). Overall, 64% of paramedics/EMTs and 89% of EMS physicians rated the telemedicine call quality as "good."ResultsThe telemedicine pilot project was implemented in September 2020. Overall, there were 58 successful encounters. For this analysis, we included 38 patients in both the pre-implementation period (September 9, 2019-September 10, 2020) and the post-implementation period (September 11, 2020-December 5, 2021). Among this population, the ALS transport rate was 42% before and 45% after implementation (odds ratio 1.11; 95% confidence interval 0.45-2.76). The EMS median out-of-service times were 47 minutes before, and 33 minutes after (P = 0.07). Overall, 64% of paramedics/EMTs and 89% of EMS physicians rated the telemedicine call quality as "good."In this rural EMS system, a telehealth platform was successfully used to connect paramedics/EMTs to board-certified EMS physicians over a 15-month period. Telemedicine use did not alter rates of ALS transports and did not increase on-scene time. The majority of paramedics/EMTs and EMS physicians rated the quality of the telemedicine connection as "good."ConclusionIn this rural EMS system, a telehealth platform was successfully used to connect paramedics/EMTs to board-certified EMS physicians over a 15-month period. Telemedicine use did not alter rates of ALS transports and did not increase on-scene time. The majority of paramedics/EMTs and EMS physicians rated the quality of the telemedicine connection as "good." Background: Telemedicine remains an underused tool in rural emergency medical servces (EMS) systems. Rural emergency medical technicians (EMT) and paramedics cite concerns that telemedicine could increase Advanced Life Support (ALS) transports, extend on-scene times, and face challenges related to connectivity as barriers to implementation. Our aim in this project was to implement a telemedicine system in a rural EMS setting and assess the impact of telemedicine on EMS management of patients with chest pain while evaluating some of the perceived barriers. Methods: This study was a mixed-methods, retrospective review of quality assurance data collected prior to and after implementation of a telemedicine program targeting patients with chest pain. We compared quantitative data from the 12-month pre-implementation phase to data from 15 months post-implementation. Patients were included if they had a chief complaint of chest pain or a 12-lead electrocardiogram had been obtained. The primary outcome was the rate of ALS transport before and after program implementation. Secondary outcomes included EMS call response times and EMS agency performance on quality improvement benchmarks. Qualitative data were also collected after each telemedicine encounter to evaluate paramedic/EMT and EMS physician perception of call quality. Results: The telemedicine pilot project was implemented in September 2020. Overall, there were 58 successful encounters. For this analysis, we included 38 patients in both the pre-implementation period (September 9, 2019–September 10, 2020) and the post-implementation period (September 11, 2020–December 5, 2021). Among this population, the ALS transport rate was 42% before and 45% after implementation (odds ratio 1.11; 95% confidence interval 0.45–2.76). The EMS median out-of-service times were 47 minutes before, and 33 minutes after (P = 0.07). Overall, 64% of paramedics/EMTs and 89% of EMS physicians rated the telemedicine call quality as “good.” Conclusion: In this rural EMS system, a telehealth platform was successfully used to connect paramedics/EMTs to board-certified EMS physicians over a 15-month period. Telemedicine use did not alter rates of ALS transports and did not increase on-scene time. The majority of paramedics/EMTs and EMS physicians rated the quality of the telemedicine connection as “good.” Telemedicine remains an underused tool in rural emergency medical servces (EMS) systems. Rural emergency medical technicians (EMT) and paramedics cite concerns that telemedicine could increase Advanced Life Support (ALS) transports, extend on-scene times, and face challenges related to connectivity as barriers to implementation. Our aim in this project was to implement a telemedicine system in a rural EMS setting and assess the impact of telemedicine on EMS management of patients with chest pain while evaluating some of the perceived barriers. This study was a mixed-methods, retrospective review of quality assurance data collected prior to and after implementation of a telemedicine program targeting patients with chest pain. We compared quantitative data from the 12-month pre-implementation phase to data from 15 months post-implementation. Patients were included if they had a chief complaint of chest pain or a 12-lead electrocardiogram had been obtained. The primary outcome was the rate of ALS transport before and after program implementation. Secondary outcomes included EMS call response times and EMS agency performance on quality improvement benchmarks. Qualitative data were also collected after each telemedicine encounter to evaluate paramedic/EMT and EMS physician perception of call quality. The telemedicine pilot project was implemented in September 2020. Overall, there were 58 successful encounters. For this analysis, we included 38 patients in both the pre-implementation period (September 9, 2019-September 10, 2020) and the post-implementation period (September 11, 2020-December 5, 2021). Among this population, the ALS transport rate was 42% before and 45% after implementation (odds ratio 1.11; 95% confidence interval 0.45-2.76). The EMS median out-of-service times were 47 minutes before, and 33 minutes after ( = 0.07). Overall, 64% of paramedics/EMTs and 89% of EMS physicians rated the telemedicine call quality as "good." In this rural EMS system, a telehealth platform was successfully used to connect paramedics/EMTs to board-certified EMS physicians over a 15-month period. Telemedicine use did not alter rates of ALS transports and did not increase on-scene time. The majority of paramedics/EMTs and EMS physicians rated the quality of the telemedicine connection as "good." Background: Telemedicine remains an underused tool in rural emergency medical servces (EMS) systems. Rural emergency medical technicians (EMT) and paramedics cite concerns that telemedicine could increase Advanced Life Support (ALS) transports, extend on-scene times, and face challenges related to connectivity as barriers to implementation. Our aim in this project was to implement a telemedicine system in a rural EMS setting and assess the impact of telemedicine on EMS management of patients with chest pain while evaluating some of the perceived barriers. Methods: This study was a mixed-methods, retrospective review of quality assurance data collected prior to and after implementation of a telemedicine program targeting patients with chest pain. We compared quantitative data from the 12-month pre-implementation phase to data from 15 months post-implementation. Patients were included if they had a chief complaint of chest pain or a 12-lead electrocardiogram had been obtained. The primary outcome was the rate of ALS transport before and after program implementation. Secondary outcomes included EMS call response times and EMS agency performance on quality improvement benchmarks. Qualitative data were also collected after each telemedicine encounter to evaluate paramedic/EMT and EMS physician perception of call quality. Results: The telemedicine pilot project was implemented in September 2020. Overall, there were 58 successful encounters. For this analysis, we included 38 patients in both the pre-implementation period (September 9, 2019–September 10, 2020) and the post-implementation period (September 11, 2020–December 5, 2021). Among this population, the ALS transport rate was 42% before and 45% after implementation (odds ratio 1.11; 95% confidence interval 0.45–2.76). The EMS median out-of-service times were 47 minutes before, and 33 minutes after (P = 0.07). Overall, 64% of paramedics/EMTs and 89% of EMS physicians rated the telemedicine call quality as “good.” Conclusion: In this rural EMS system, a telehealth platform was successfully used to connect paramedics/EMTs to board-certified EMS physicians over a 15-month period. Telemedicine use did not alter rates of ALS transports and did not increase on-scene time. The majority of paramedics/EMTs and EMS physicians rated the quality of the telemedicine connection as “good.” |
Author | V Lara, Justin Hannan, Philipp Gaither, Joshua B Hardcastle, Aileen Karra, Ramesh Arcaris, Brittany Rice, Amber D Hollen, Adrienne Derksen, Daniel Glenn, Melody Munn, Rachel Spaite, Daniel W |
AuthorAffiliation | The University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona The University of Arizona, College of Medicine, Department of Emergency Medicine, Phoenix, Arizona |
AuthorAffiliation_xml | – name: The University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona – name: The University of Arizona, College of Medicine, Department of Emergency Medicine, Phoenix, Arizona |
Author_xml | – sequence: 1 givenname: Ramesh surname: Karra fullname: Karra, Ramesh organization: The University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona – sequence: 2 givenname: Amber D surname: Rice fullname: Rice, Amber D organization: The University of Arizona, College of Medicine, Department of Emergency Medicine, Phoenix, Arizona – sequence: 3 givenname: Aileen surname: Hardcastle fullname: Hardcastle, Aileen organization: The University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona – sequence: 4 givenname: Justin surname: V Lara fullname: V Lara, Justin organization: The University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona – sequence: 5 givenname: Adrienne surname: Hollen fullname: Hollen, Adrienne organization: The University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona – sequence: 6 givenname: Melody surname: Glenn fullname: Glenn, Melody organization: The University of Arizona, College of Medicine, Department of Emergency Medicine, Phoenix, Arizona – sequence: 7 givenname: Rachel surname: Munn fullname: Munn, Rachel organization: The University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona – sequence: 8 givenname: Philipp surname: Hannan fullname: Hannan, Philipp organization: The University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona – sequence: 9 givenname: Brittany surname: Arcaris fullname: Arcaris, Brittany organization: The University of Arizona, College of Medicine, Department of Emergency Medicine, Tucson, Arizona – sequence: 10 givenname: Daniel surname: Derksen fullname: Derksen, Daniel organization: The University of Arizona, College of Medicine, Department of Emergency Medicine, Phoenix, Arizona – sequence: 11 givenname: Daniel W surname: Spaite fullname: Spaite, Daniel W organization: The University of Arizona, College of Medicine, Department of Emergency Medicine, Phoenix, Arizona – sequence: 12 givenname: Joshua B surname: Gaither fullname: Gaither, Joshua B organization: The University of Arizona, College of Medicine, Department of Emergency Medicine, Phoenix, Arizona |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39319809$$D View this record in MEDLINE/PubMed |
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Snippet | Telemedicine remains an underused tool in rural emergency medical servces (EMS) systems. Rural emergency medical technicians (EMT) and paramedics cite concerns... Background: Telemedicine remains an underused tool in rural emergency medical servces (EMS) systems. Rural emergency medical technicians (EMT) and paramedics... |
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SubjectTerms | Adult Chest Pain - therapy Emergency Medical Services Emergency Medical Technicians Female Humans Male Middle Aged Original Research Pilot Projects Retrospective Studies Rural Health Services Telemedicine |
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Title | Telemedical Direction to Optimize Resource Utilization in a Rural Emergency Medical Services System |
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