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Categorizing Fetal Heart Rate Variability with and without Visual Aids

机译:有或没有视觉辅助的胎儿心率变异性分类

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>Objective This study examined the ability of clinicians to correctly categorize images of fetal heart rate (FHR) variability with and without the use of exemplars. >Study Design A sample of 33 labor and delivery clinicians inspected static FHR images and categorized them into one of four categories defined by the National Institute of Child Health and Human Development (NICHD) based on the amount of variability within absent, minimal, moderate, or marked ranges. Participants took part in three conditions: two in which they used exemplars representing FHR variability near the center or near the boundaries of each range, and a third control condition with no exemplars. The data gathered from clinicians were compared with those from a previous study using novices. >Results Clinicians correctly categorized more images when the FHR variability fell near the center rather than the boundaries of each range, F (1,32) = 71.69, p < 0.001, partial η2 = 0.69. They also correctly categorized more images when exemplars were available, F (2,64) = 5.44, p = 0.007, partial η2 = 0.15. Compared with the novices, the clinicians were more accurate and quicker in their category judgments, but this difference was limited to the condition without exemplars. >Conclusion The results suggest that categorizing FHR variability is more difficult when the examples fall near the boundaries of each NICHD-defined range. Thus, clinicians could benefit from training with visual aids to improve judgments about FHR variability and potentially enhance safety in labor and delivery.
机译:>目的这项研究检查了临床医生在使用和不使用样本的情况下对胎儿心率(FHR)变异性图像进行正确分类的能力。 >研究设计根据33名分娩和分娩临床医生的样本,他们检查了静态FHR图像,并根据国家儿童健康与人类发展研究所(NICHD)定义的四类变量将其分为四类之一缺少,最小,中等或标记范围。参加者参加了三个条件:两个条件是使用代表每个范围的中心或边界附近的FHR变异性的示例,另一个是没有条件的控制条件。将临床医生收集的数据与以前使用新手进行的研究相比较。 >结果当FHR变异性落在中心而不是每个范围的边界附近时,临床医生正确分类了更多图像,F(1,32)= 71.69,p <0.001,部分η2= 0.69。当示例可用时,他们还正确分类了更多图像,F(2,64)= 5.44,p = 0.007,部分η2= 0.15。与新手相比,临床医生的类别判断更加准确和快捷,但是这种差异仅限于没有示例的情况。 >结论结果表明,当样本落在每个NICHD定义范围的边界附近时,对FHR变异性进行分类更加困难。因此,临床医生可以从视觉辅助培训中受益,以改善对FHR变异性的判断,并可能提高分娩和分娩的安全性。

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