EMS机构特征与院前卒中量表和血糖水平记录相关。

IF 2.1 3区 医学 Q2 EMERGENCY MEDICINE
Anjali J Misra, Scott A Goldberg, Kori S Zachrison, Remle P Crowe, Rebecca E Cash
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引用次数: 0

摘要

目的:急诊医疗服务(EMS)机构在院前卒中护理中差异的原因尚不清楚。我们的目的是确定EMS机构与院前卒中量表和血糖记录的低、平均和高性能相关的特征,为改善院前卒中护理提供信息。方法:这是对2019年ESO数据协作中疑似卒中/TIA患者的EMS激活的回顾性评估,这是一个来自1200多个机构的约830万EMS激活的去识别数据集,这些机构自愿同意将其数据纳入研究和基准测试。我们纳入了提供≥10个911响应的机构,这些机构对中风/短暂性脑缺血发作有现场印象,但不包括基本生命支持机构和仅对急性护理机构(即独立式或医院急诊科)做出响应的机构。根据平均中风率和血糖记录对这些机构进行分类。低、平均和高性能分别被定义为第1、2 -9和10个十分位数。采用多项逻辑回归模型计算相对风险比(RRR),比较三个绩效组的机构特征(包括患者人口统计学、机构类型和服务类型)。结果:我们分析了862家EMS机构(21.6%为消防机构,65.1%为非志愿者机构,93.6%主要提供911响应)。低分、中分和优分的平均代理水平率在卒中量表上分别为4.9% (SD 6.1%)、69.0% (SD 26.6%)和99.6% (SD 0.6%),在血糖量表上分别为61.7% (SD 10.6%)、87.6% (SD 6.0%)和98.7% (SD 1.6%)。机构特征与卒中量表记录率之间无显著关联。对于血糖,与较好表现相关的代理特征是城市遭遇和非志愿提供者的比例较高(城市:低表现的RRR为0.53,95% CI为0.33-0.85;非志愿者:低绩效的RRR为0.52,95% CI 0.32-0.84)。结论:各机构在卒中量表和血糖记录方面的差异表明有机会更好地标准化护理。更好地了解高绩效者的策略和低绩效者的障碍是设计干预措施的关键,以确保所有卒中患者接受循证、符合指南的院前护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EMS Agency Characteristics Associated with Documentation of Prehospital Stroke Scale and Blood Glucose Level.

Objectives: Reasons for emergency medical services (EMS) agency-level variation in prehospital stroke care are poorly understood. Our objective was to identify EMS agency characteristics associated with low-, average-, and high performance for documentation of prehospital stroke scale and blood glucose to inform strategies for improving prehospital stroke care.

Methods: This was a retrospective evaluation of EMS activations for patients with suspected stroke/transient ischemic attack (TIA) in the 2019 ESO Data Collaborative, a de-identified dataset of ∼8.3 million EMS activations from 1,200+ agencies who voluntarily agree to include their data for research and benchmarking. We included agencies that provided ≥10 9-1-1 responses with a field impression of stroke/TIA excluding basic life support agencies and those only responding to acute care facilities (i.e., freestanding or hospital emergency department). Agencies were categorized by mean rates of stroke scale and blood glucose documentation. Low, average, and high performance were defined as the 1st, 2nd-9th, and 10th deciles, respectively. Multinomial logistic regression models were used to calculate relative risk ratios (RRR) to compare agency characteristics (including patient demographics, agency type, and service type) between the three performance groups.

Results: We analyzed 862 EMS agencies (21.6% fire department-based, 65.1% non-volunteer, 93.6% primarily providing 9-1-1 response). The mean agency-level rates by low-, average- and high-performers were 4.9% (SD 6.1%), 69.0% (SD 26.6%), and 99.6% (SD 0.6%) respectively for stroke scale, and 61.7% (SD 10.6%), 87.6% (SD 6.0%), and 98.7% (SD 1.6%) for blood glucose. There were no significant associations between agency characteristics and rates of stroke scale documentation. For blood glucose, agency characteristics associated with better performance were higher rates of urban encounters and non-volunteer providers (urban: RRR for low performance 0.53, 95% CI 0.33-0.85; non-volunteer: RRR for low performance 0.52, 95% CI 0.32-0.84).

Conclusions: The wide agency-level variation in rates of stroke scale and blood glucose documentation indicates an opportunity to better standardize care. Better understanding strategies of high performers and barriers for low performers is key to designing interventions to ensure all stroke patients receive evidence-based, guideline-concordant prehospital care.

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来源期刊
Prehospital Emergency Care
Prehospital Emergency Care 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.30
自引率
12.50%
发文量
137
审稿时长
1 months
期刊介绍: Prehospital Emergency Care publishes peer-reviewed information relevant to the practice, educational advancement, and investigation of prehospital emergency care, including the following types of articles: Special Contributions - Original Articles - Education and Practice - Preliminary Reports - Case Conferences - Position Papers - Collective Reviews - Editorials - Letters to the Editor - Media Reviews.
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