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Categorizing Fetal Heart Rate Variability with and without Visual Aids

机译:有和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 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33名分娩和分娩临床医生的样本检查了静态FHR图像,并根据缺乏,最小,中等或中等范围内的可变性将其分为美国国家儿童健康与人类发展研究所(NICHD)定义的四个类别之一。标记范围。参与者参加了三个条件: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,另一个是不包含示例的控制条件。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,临床医生正确地分类了更多图像,F(1,32)?=?71.69,p结论结论表明,当样本落在附近时,对FHR变异性进行分类更加困难每个NICHD定义范围的边界。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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