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不同物理治疗师对不同肺部声音记录的一致性。

Concordance in Discriminating Recordings of Different Lung Sounds Between Physiotherapists.

机构信息

Clínica Indisa, Santiago, Chile.

Peter Swuan Hospitalización Domiciliaria, Chile.

出版信息

Respir Care. 2020 Feb;65(2):177-182. doi: 10.4187/respcare.06624. Epub 2019 Sep 24.

Abstract

BACKGROUND

Auscultation is a fundamental part of the physical examination, but its utility has been questioned due to the low inter-rater concordance. We therefore sought to evaluate the concordance of the discrimination of lung sound recordings between experienced physiotherapists.

METHODS

Lung sound recordings were selected and validated by an expert panel when Fleiss κ concordance was > 0.75. Eleven recordings were played for subject recognition using a portable computer in their workplace. Results were analyzed using Fleiss κ when looking for concordance between physiotherapists. Univariate regression was performed to determine if there was an association with clinical training, years of experience, academic accomplishment, or university affiliation.

RESULTS

Sixty-nine physiotherapists with a median of 4 years of working experience (interquartile range 2-6 y) completed the study. There was moderate concordance (κ = 0.562; 95% CI 0.462-0.605) for overall lung sound recording discrimination. For continuous and noncontinuous lung sound recordings, discrimination concordance was substantial (κ = 0.63 and κ = 0.76, respectively). A bivariate analysis revealed that years of experience presented an inverse association with stridor recognition.

CONCLUSIONS

Concordance between physiotherapists in discriminating recorded lung sounds was moderate. The ability to recognize stridor was inversely associated with years of work experience.

摘要

背景

听诊是体格检查的基本组成部分,但由于观察者间的一致性较低,其效用受到质疑。因此,我们试图评估有经验的物理治疗师对肺部声音记录的区分的一致性。

方法

当 Fleiss κ 一致性> 0.75 时,通过专家小组选择和验证肺部声音记录。在工作场所使用便携式计算机播放 11 个录音进行主题识别。使用 Fleiss κ 分析结果,以寻找物理治疗师之间的一致性。进行单变量回归以确定是否与临床培训、工作年限、学术成就或大学隶属关系有关。

结果

69 名物理治疗师完成了这项研究,他们的平均工作年限为 4 年(四分位距 2-6 年)。整体肺部声音记录区分的一致性为中度(κ=0.562;95%CI 0.462-0.605)。对于连续和非连续的肺部声音记录,区分一致性较高(κ=0.63 和 κ=0.76)。双变量分析显示,工作年限与喘鸣识别呈负相关。

结论

物理治疗师在区分记录的肺部声音方面的一致性为中度。识别喘鸣的能力与工作年限呈负相关。

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