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1.
Acad Emerg Med ; 2024 Apr 21.
Artigo em Inglês | MEDLINE | ID: mdl-38643419

RESUMO

BACKGROUND: Large-vessel occlusion (LVO) stroke represents one-third of acute ischemic stroke (AIS) in the United States but causes two-thirds of poststroke dependence and >90% of poststroke mortality. Prehospital LVO stroke detection permits efficient emergency medical systems (EMS) transport to an endovascular thrombectomy (EVT)-capable center. Our primary objective was to determine the feasibility of using a cranial accelerometry (CA) headset device for prehospital LVO stroke detection. Our secondary objective was development of an algorithm capable of distinguishing LVO stroke from other conditions. METHODS: We prospectively enrolled consecutive adult patients suspected of acute stroke from 11 study hospitals in four different U.S. geographical regions over a 21-month period. Patients received device placement by prehospital EMS personnel. Headset data were matched with clinical data following informed consent. LVO stroke diagnosis was determined by medical chart review. The device was trained using device data and Los Angeles Motor Scale (LAMS) examination components. A binary threshold was selected for comparison of device performance to LAMS scores. RESULTS: A total of 594 subjects were enrolled, including 183 subjects who received the second-generation device. Usable data were captured in 158 patients (86.3%). Study subjects were 53% female and 56% Black/African American, with median age 69 years. Twenty-six (16.4%) patients had LVO and 132 (83.6%) were not LVO (not-LVO AIS, 33; intracerebral hemorrhage, nine; stroke mimics, 90). COVID-19 testing and positivity rates (10.6%) were not different between groups. We found a sensitivity of 38.5% and specificity of 82.7% for LAMS ≥ 4 in detecting LVO stroke versus a sensitivity of 84.6% (p < 0.0015 for superiority) and specificity of 82.6% (p = 0.81 for superiority) for the device algorithm (CA + LAMS). CONCLUSIONS: Obtaining adequate recordings with a CA headset is highly feasible in the prehospital environment. Use of the device algorithm incorporating both CA and LAMS data for LVO detection resulted in significantly higher sensitivity without reduced specificity when compared to the use of LAMS alone.

2.
AEM Educ Train ; 6(6): e10821, 2022 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-36518230

RESUMO

Background: Since 2015, development of competencies by emergency medical services (EMS) fellows have been evaluated using the EMS Milestones 1.0 developed by a working group consisting of relevant stakeholders convened by the Accreditation Council for Graduate Medical Education (ACGME). Feedback from users and data collected from the milestones assessments in the interim indicated a need for revision of the original milestones. In May 2021, the Milestones 2.0 working group was convened for the purpose of revising this specialty-specific assessment tool. Methods: A working group consisting of representatives from American Board of Emergency Medicine, the Review Committee for Emergency Medicine, and volunteers selected by the ACGME Milestones Committee, chaired by the ACGME vice president for milestones development, was convened using a virtual platform to revise the milestones and develop a supplemental guide for use along with the Milestones 2.0. There were no in-person meetings of this working group due to the COVID-19 pandemic. Results: Data from milestones reporting, discussion within the working group, stakeholder input, and public commentary were used to revise the original milestones. A new supplemental guide to enhance milestone usability and provide recommended resource materials was also developed for use alongside the milestones. Discussion: The EMS Milestones 2.0 and accompanying supplemental guide provide an updated framework for fellowship programs to use as a guide for developing the competencies necessary for independent practice as EMS physicians and in the formal, competency-based evaluation of trainees as required by the ACGME.

3.
Prehosp Disaster Med ; : 1-5, 2022 Feb 02.
Artigo em Inglês | MEDLINE | ID: mdl-35105406

RESUMO

INTRODUCTION: Paramedics are a vital component of the Emergency Medical Services (EMS) workforce and the United States health care system. The continued provision of high-quality care demands constantly improving education at accredited institutions. To date, only limited characteristics of paramedic education in the United States have been documented and studied in the literature. The objective of this study was to describe the educational infrastructure of accredited paramedic programs in the United States in 2018. METHODS: This is a retrospective, cross-sectional evaluation of the 2018 paramedic program annual report from The Committee on Accreditation of Educational Programs for the EMS Professions (CoAEMSP; Rowlett, Texas USA). The dataset includes detailed program metrics. Additionally, questions concerning program characteristics, demographics, and resources were asked as part of the evaluation. Resource availability was assessed via the Resource Assessment Matrix (RAM) with a benchmark of 80%. Included in the analysis are all paramedic programs with students enrolled. Descriptive statistics were calculated (median, [interquartile range/IQR]). RESULTS: A total of 677 programs submitted data (100% response rate). Of these, 626 met inclusion criteria, totaling 17,422 students. Program annual enrollment varied greatly from one to 362 with most programs having small sizes (18 students [IQR 12-30]). Program duration was 12 months [IQR 12-16] with total hours of instruction being approximately 1,174 [IQR 1069-1304], 19% of which were dedicated to clinical experience. Full-time faculty sizes were small (two faculty members [IQR 1-3]) with most programs (80%) having annual operating budgets below USD$500,000. For programs with an annual budget below USD$100,000 (34% of programs), annual enrollment was approximately 14 students [IQR 9-21]. Degrees conferred by programs included certificates (90%), associate degrees (55%), and bachelor's degree (2%). Simulation access was assessed with nearly all (100%) programs reporting simple task trainers and 84% of programs investing in advanced simulation manikins. Seventy-eight percent of programs met the RAM benchmark. CONCLUSION: Most paramedic educational programs in the United States have small annual enrollments with low numbers of dedicated faculty and confer certificates and associate degrees. Nearly one-quarter of paramedic educational programs are not adequately resourced. This study is limited by self-reported data to the national accreditation agency. Future work is needed to identify program characteristics that are associated with high performance.

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