Prehospital emergency care : official journal of the National Association of EMS Physicians and the National Association of State EMS Directors
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Objective: Emergency medical services (EMS) provide critical interventions for patients with acute illness and injury and are important in implementing prehospital emergency care research. Retrospective, manual patient record review, the current reference-standard for identifying patient cohorts, requires significant time and financial investment. We developed automated classification models to identify eligible patients for prehospital clinical trials using EMS clinical notes and compared model performance to manual review. ⋯ Compared to manual classification (N = 363 records), the automated method excluded 90.9% of records as ineligible and leaving only 33 records for manual review. Conclusions: Our ML derived approach demonstrates the feasibility of developing a high-performing, automated classification system using EMS clinical notes to streamline the identification of a specific cardiac patient cohort. This efficient approach can be leveraged to facilitate prehospital patient-trial matching, patient phenotyping (i.e. influenza-like illness), and create prehospital patient registries.
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Introduction: Access time to extracorporeal cardiopulmonary resuscitation (ECPR) refractory out of hospital cardiac arrest (OHCA) is a crucial factor. In our region, some patients are not eligible to this treatment due to the impossibility to reach the hospital with reasonable delay (ideally 60 min). In order to increase accessibility for patients far from ECPR centers, we developed a helicopter-borne ECPR-team which is sent out to the patient for ECPR implementation on the scene of the OHCA. ⋯ Survival rate is non negligible, especially in the absence of therapeutic alternative. An earlier trigger of the ECPR-team could reduce the low-flow time and probably increase survival. This strategy improves equity of access to ECPR and needs to be confirmed by further studies.
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Background: The geographic distribution and access to paramedic education programs is unclear but often cited as a reason for emergency medical services (EMS) workforce shortages. Our aims were: 1) to examine the spatial distribution of accredited paramedic programs and 2) to compare characteristics of communities with and without existing programs. Methods: We performed a cross-sectional study of US paramedic education programs accredited by the Commission on Accreditation of Allied Health Education Programs as of April 2020. ⋯ There were significantly higher odds of having a paramedic program for counties classified as metro compared to non-metro (OR 4.42, 95% CI 3.60-5.42) and with the presence of healthcare resources (e.g., emergency department in the county: OR 2.42, 95% CI 1.87-3.14). Conclusions: Approximately 73% of the US adult population lives within 30 miles of an existing paramedic education program; however, this decreases to 22% in rural areas. Geographic barriers to accessing paramedic education remain a challenge for ongoing efforts to address the rural EMS workforce shortage.
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Introduction: Patients experiencing a large vessel occlusion stroke (LVOS) may require endovascular-capable centers and benefit from direct transport to such facilities, creating a need for an accurate prehospital assessment. The Field Assessment Stroke Triage for Emergency Destination (FAST-ED) is a secondary scale to identify LVOS. Currently, there is limited prospective evidence validating the use of the FAST-ED in the prehospital environment. ⋯ Agreement was substantial across provider certifications including paramedics and EMTS. Conclusion: This study demonstrated high inter-rater reliability of the FAST-ED scale when performed in the prehospital setting on patients suspected of having a stroke. There were minimal differences in reliability based on provider certification, and item level analysis indicated substantial inter-rater reliability.
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Various screening tools, ranging in complexity, have been developed to predict large vessel occlusion (LVO) stroke in the prehospital setting. Our objective was to determine whether newly-developed LVO stroke scales offer a clinically-meaningful advantage over the Cincinnati Prehospital Stroke Scale (CPSS). ⋯ In this large sample of real-world prehospital patient encounters, the CPSS demonstrated similar predictive performance characteristics compared to the RACE, LAMS, and VAN for detecting LVO stroke. Prior to implementing a specific screening tool, EMS agencies should evaluate ease of use and associated implementation costs. Scored 0-3, the simple, widely-used CPSS may serve as a favorable prehospital screening instrument for LVO detection with a cut-point of 2 or higher maximizing the tradeoff between sensitivity and specificity.