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Clinical measurements obtained from point-of-care ultrasound images to assess acquisition skills

机译:从即时超声图像获得的临床测量值来评估采集技能

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摘要

BackgroundCurrent methods of assessing competence in acquiring point-of-care ultrasound images are inadequate. They rely upon cumbersome rating systems that do not depend on the actual outcome measured and lack evidence of validity. We describe a new method that uses a rigorous statistical model to assess performance of individual trainees based on the actual task, image acquisition. Measurements obtained from the images acquired (the actual desired outcome) are themselves used to validate effective training and competence acquiring ultrasound images. We enrolled a convenience sample of 21 spontaneously breathing adults from a general medicine ward. In random order, two trainees (A and B) and an instructor contemporaneously acquired point-of-care ultrasound images of the inferior vena cava and the right internal jugular vein from the same patients. Blinded diameter measurements from each ultrasound were analyzed quantitatively using a multilevel model. Consistent mean differences between each trainee’s and the instructor’s images were ascribed to systematic acquisition errors, indicative of poor measurement technique and a need for further training. Wider variances were attributed to sporadic errors, indicative of inconsistent application of measurement technique across patients. In addition, the instructor recorded qualitative observations of each trainee’s performance during image acquisition.
机译:背景技术当前评估获取即时医疗超声图像的能力的方法是不充分的。他们依赖笨拙的评级系统,该系统不依赖于所测得的实际结果并且缺乏有效性的证据。我们描述了一种新方法,该方法使用严格的统计模型来根据实际任务(图像获取)评估各个受训人员的表现。从获取的图像(实际所需结果)获得的测量值本身可用于验证有效的训练和能力获取超声图像。我们从普通病房招募了21名自发呼吸的成年人的便利样本。以随机顺序,两名受训者(A和B)和一名讲师同时从同一患者那里获取下腔静脉和右颈内静脉的即时护理超声图像。使用多级模型对每个超声的盲直径测量值进行定量分析。每个受训者和讲师的图像之间的均值差异始终是由于系统性习得错误造成的,这表明测量技术不佳以及需要进一步培训。较大的差异归因于零星的错误,这表明测量技术在患者中的应用不一致。此外,讲师还会在图像采集过程中对每位学员的表现进行定性观察。

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