Time to care is a determinant of trauma patient outcomes, and timely delivery of trauma care to severely injured patients is critical in reducing mortality. Numerous studies have analyzed access to care using prehospital intervals from a Carr et al. meta-analysis of studies from 1975 to 2005. Carr et al.'s research sought to determine national mean activation and on-scene intervals for trauma patients using contemporary emergency medical services (EMS) records. Since the Carr et al. meta-analysis was published, the National Highway Traffic Safety Administration (NHTSA) created and refined the National Emergency Medical Services Information System (NEMSIS) database. We sought to perform a modern analysis of prehospital intervals to establish current standards and temporal patterns. We utilized NEMSIS to analyze EMS data of trauma patients from 2016 to 2019. The dataset comprises more than 94 million EMS records, which we filtered to select for severe trauma and stratified by type of transport and rurality to calculate mean activation and on-scene intervals. Furthermore, we explored the impact of basic life support (BLS) and advanced life support (ALS) of ground units on activation and on-scene time intervals. Mean activation and on-scene intervals for ground transport were statistically different when stratified by rurality. Urban, suburban, and rural ground activation intervals were 2.60 ± 3.94, 2.88 ± 3.89, and 3.33 ± 4.58 minutes, respectively. On-scene intervals were 15.50 ± 10.46, 17.56 ± 11.27, and 18.07 ± 16.13 minutes, respectively. Mean helicopter transport activation time was 13.75 ± 7.44 minutes and on-scene time was 19.42 ± 16.09 minutes. This analysis provides an empirically defined mean for activation and on-scene times for trauma patients based on transport type and rurality. Results from this analysis proved to be significantly longer than the previous analysis, except for helicopter transport on-scene time. Shorter mean intervals were seen in ALS compared to BLS for activation intervals, however ALS on-scene intervals were marginally longer than BLS. With the increasing sophistication of geospatial technologies employed to analyze access to care, these intervals are the most accurate and up-to-date and should be included in access to care models.
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http://dx.doi.org/10.1080/10903127.2022.2053615 | DOI Listing |
BMC Emerg Med
January 2025
Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
Cureus
December 2024
Department of Emergency and Critical Care Medicine, Iizuka City Hospital, Iizuka, JPN.
Objectives: The coronavirus disease 2019 (COVID-19) pandemic has significantly disrupted emergency medical service (EMS) prehospital care for patients with out-of-hospital cardiac arrest (OHCA), necessitating a thorough assessment of its effects on prehospital time and emergency interventions. Therefore, we aimed to analyze the changes in EMS operations before and after the onset of the pandemic and their potential effects on patient care.
Methods: We retrospectively reviewed OHCA cases between January 2017 and December 2022, categorizing them into pre-pandemic and pandemic phases.
Scand J Trauma Resusc Emerg Med
December 2024
German Air Rescue, DRF Stiftung Luftrettung Gemeinnützige AG, Rita-Maiburg-Str. 2, 70794, Filderstadt, Germany.
PLoS One
December 2024
Faculty of Science and Engineering Artificial Intelligence - Bernoulli Institute, University of Groningen, Groningen, The Netherlands.
Cureus
September 2024
Emergency Medicine, Lakeland Regional Medical Center, Lakeland, USA.
Introduction: This study is a retrospective review of patients who sustained out-of-hospital cardiac arrest due to ventricular fibrillation. The data were analyzed to decipher predictors of good outcomes as the overall survival rate in the county is significantly higher than the national average.
Methods: The inclusion criteria for the study comprised all patients over the age of 18 for whom a call was made for unresponsiveness.
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