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Performance Improvement (Pi) score: an algorithm to score Pi objectively during E‐BLUS hands‐on training sessions. A European Association of Urology, Section of Uro‐Technology (ESUT) project

机译:性能改进(PI)得分:在电子BLUS实践培训课程中客观地获得PI的算法。 欧洲泌尿外科协会,Uro-Technology(esut)项目

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Objective To evaluate the variability of subjective tutor performance improvement (Pi) assessment and to compare it with a novel measurement algorithm: the Pi score. Materials and Methods The Pi‐score algorithm considers time measurement and number of errors from two different repetitions (first and fifth) of the same training task and compares them to the relative task goals, to produce an objective score. We collected data during eight courses on the four European Association of Urology training in Basic Laparoscopic Urological Skills (E‐ BLUS ) tasks. The same tutor instructed on all courses. Collected data were independently analysed by 14 hands‐on training experts for Pi assessment. Their subjective Pi assessments were compared for inter‐rater reliability. The average per‐participant subjective scores from all 14 proctors were then compared with the objective Pi‐score algorithm results. Cohen's κ statistic was used for comparison analysis. Results A total of 50 participants were enrolled. Concordance found between the 14 proctors' scores was the following: Task 1, κ = 0.42 (moderate); Task 2, κ = 0.27 (fair); Task 3, κ = 0.32 (fair); and Task 4, κ = 0.55 (moderate). Concordance between Pi‐score results and proctor average scores per participant was the following: Task 1, κ = 0.85 (almost perfect); Task 2, κ = 0.46 (moderate); Task 3, κ = 0.92 (almost perfect); Task 4 = 0.65 (substantial). Conclusion The present study shows that evaluation of Pi is highly variable, even when formulated by a cohort of experts. Our algorithm successfully provided an objective score that was equal to the average Pi assessment of a cohort of experts, in relation to a small amount of training attempts.
机译:目的评价主观导师绩效改进(PI)评估的可变性,并用新型测量算法比较:PI得分。材料和方法PI-Score算法考虑了来自相同训练任务的两种不同重复(第一和第五个)的时间测量和错误数,并将其与相对任务目标进行比较,以产生客观分数。我们在八个欧洲泌尿外科培训协会中收集了八个课程中的数据,基本腹腔镜泌尿理学技能(E- BLUS)任务。所有课程都指示的同一导师。收集的数据由14个动手培训专家独立分析PI评估。将其主观PI评估进行比较,以获得帧间的可靠性。然后将来自所有14个标题的平均每参与者主观评分与目标PI-RICE算法结果进行比较。 Cohen的κ统计用于比较分析。结果共有50名参与者。在14个标准台的分数之间发现的一致性如下:任务1,κ= 0.42(中等);任务2,κ= 0.27(公平);任务3,κ= 0.32(公平);和任务4,κ= 0.55(中等)。每位参与者的PI - 得分结果和PICTOR平均得分之间的一致性如下:任务1,κ= 0.85(几乎完美);任务2,κ= 0.46(中等);任务3,κ= 0.92(几乎完美);任务4 = 0.65(实质性)。结论本研究表明,即使由专家队列制定,PI的评估是高度变化的。我们的算法成功提供了一个客观评分,即与少量培训次数有关的专家队列的平均PI评估。

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