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用于紧急医疗调度员的卒中分诊算法的比较评估(MeDS):前瞻性队列研究方案。

Comparative evaluation of stroke triage algorithms for emergency medical dispatchers (MeDS): prospective cohort study protocol.

机构信息

Department of Emergency Medicine, 505 Parnassus Avenue L 126 Mail Code 0208, University of California San Francisco, San Francisco, CA 94143-0208, USA.

出版信息

BMC Neurol. 2011 Jan 27;11:14. doi: 10.1186/1471-2377-11-14.

Abstract

BACKGROUND

Stroke is a major cause of death and leading cause of disability in the United States. To maximize a stroke patient's chances of receiving thrombolytic treatment for acute ischemic stroke, it is important to improve prehospital recognition of stroke. However, it is known from published reports that emergency medical dispatchers (EMDs) using Card 28 of the Medical Priority Dispatch System protocols recognize stroke poorly. Therefore, to improve EMD's recognition of stroke, the National Association of Emergency Medical Dispatchers recently designed a new diagnostic stroke tool (Cincinnati Stroke Scale -CSS) to be used with Card 28. The objective of this study is to determine whether the addition of CSS improves diagnostic accuracy of stroke triage.

METHODS/DESIGN: This prospective experimental study will be conducted during a one-year period in the 911 call center of Santa Clara County, CA. We will include callers aged ≥ 18 years with a chief complaint suggestive of stroke and second party callers (by-stander or family who are in close proximity to the patient and can administer the tool) ≥ 18 years of age. Life threatening calls will be excluded from the study. Card 28 questions will be administered to subjects who meet study criteria. After completion of Card 28, CSS tool will be administered to all calls. EMDs will record their initial assessment of a cerebro-vascular accident (stroke) after completion of Card 28 and their final assessment after completion of CSS. These assessments will be compared with the hospital discharge diagnosis (ICD-9 codes) recorded in the Office of Statewide Health Planning and Development (OSHPD) database after linking the EMD database and OSHPD database using probabilistic linkage. The primary analysis will compare the sensitivity of the two stroke protocols using logistic regression and generalizing estimating equations to account for clustering by EMDs. To detect a 15% difference in sensitivity between the two groups with 80% power, we will enroll a total of 370 subjects in this trial.

DISCUSSION

A three week pilot study was performed which demonstrated the feasibility of implementation of the study protocol.

摘要

背景

在美国,中风是导致死亡和残疾的主要原因之一。为了最大限度地提高中风患者接受急性缺血性中风溶栓治疗的机会,提高中风的院前识别能力非常重要。然而,从已发表的报告中可知,使用医疗优先调度系统第 28 卡的紧急医疗调度员(EMD)对中风的识别能力很差。因此,为了提高 EMD 对中风的识别能力,国家紧急医疗调度员协会最近设计了一种新的诊断中风工具(辛辛那提中风量表-CSS),与第 28 卡一起使用。本研究的目的是确定 CSS 的加入是否能提高中风分诊的诊断准确性。

方法/设计:这项前瞻性实验研究将在加利福尼亚州圣克拉拉县的 911 呼叫中心进行一年。我们将纳入年龄≥18 岁的主诉有中风症状的呼叫者和第二方呼叫者(与患者近距离接触并能使用该工具的旁观者或家属)≥18 岁。有生命威胁的呼叫将被排除在研究之外。符合研究标准的患者将接受第 28 卡问题的询问。完成第 28 卡后,将向所有呼叫者使用 CSS 工具。EMD 将在完成第 28 卡后记录他们对中风的初步评估,以及在完成 CSS 后的最终评估。这些评估将与使用概率链接将 EMD 数据库和 OSHPD 数据库链接后,在州卫生规划和发展办公室(OSHPD)数据库中记录的医院出院诊断(ICD-9 代码)进行比较。主要分析将使用逻辑回归比较两种中风协议的敏感性,并使用广义估计方程来解释 EMD 聚类的影响。为了在两组之间检测到 15%的敏感性差异,在 80%的功效下,我们将总共招募 370 名受试者参加这项试验。

讨论

我们进行了为期三周的试点研究,证明了实施研究方案的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb3/3042392/100450dfc2ba/1471-2377-11-14-1.jpg

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