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在一项基于社区的卒中发病率研究中,神经科医生和护士对卒中亚型分类的评分者间信度。

Inter-rater reliability of stroke sub-type classification by neurologists and nurses within a community-based stroke incidence study.

作者信息

Dewey H, Macdonell R, Donnan G, Freeman E, Thrift A, Sharples C

机构信息

National Stroke Research Institute, Austin & Repatriation Medical Center, West Heidelberg, Vic, Australia.

出版信息

J Clin Neurosci. 2001 Jan;8(1):14-7. doi: 10.1054/jocn.2000.0786.

DOI:10.1054/jocn.2000.0786
PMID:11320972
Abstract

The stroke classification developed for use in the Oxfordshire Community Stroke Project (OCSP) is simple, clinically meaningful and requires no investigations. However, its inter-rater reliability in a community setting is unknown. We aimed to assess the inter-rater reliability of this classification among neurologists and nurses within a community-based stroke incidence study. Fifty-four stroke patients with cerebral infarction who were registered in the North East Melbourne Stroke Incidence Study (NEMESIS) were assigned OCSP classifications by two neurologists and one of seven research nurses. There was moderate agreement between neurologists (kappa = 0.53), fair agreement between neurologist 1 and nurse (kappa = 0.31) and moderate agreement between neurologist 2 and nurse (kappa = 0.45). Disagreement about the neurological signs was an important reason for classification differences. The OCSP classification can be easily applied in a community setting with moderate inter-rater reliability and is thus a useful instrument for commun ity-based epidemiological studies.

摘要

为牛津郡社区卒中项目(OCSP)开发的卒中分类方法简单、具有临床意义且无需进行检查。然而,其在社区环境中的评分者间信度尚不清楚。我们旨在评估在一项基于社区的卒中发病率研究中,该分类方法在神经科医生和护士之间的评分者间信度。在墨尔本东北部卒中发病率研究(NEMESIS)中登记的54例脑梗死卒中患者,由两名神经科医生和七名研究护士中的一名进行OCSP分类。神经科医生之间的一致性为中等(kappa = 0.53),神经科医生1与护士之间的一致性为一般(kappa = 0.31),神经科医生2与护士之间的一致性为中等(kappa = 0.45)。关于神经体征的分歧是分类差异的一个重要原因。OCSP分类可在社区环境中轻松应用,评分者间信度中等,因此是基于社区的流行病学研究的有用工具。

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引用本文的文献

1
Oxfordshire Community Stroke Project Classification: A proposed automated algorithm.牛津郡社区中风项目分类:一种提议的自动算法。
Eur Stroke J. 2021 Jun;6(2):160-167. doi: 10.1177/23969873211012136. Epub 2021 Jun 18.