结合实时反的在线教育模块对训练员的息肉大小测定准确性的影响:一项随机对照试验
Elijah J Mun1, Timothy Yen1, Camille J Hochheimer2
1Division of Gastroenterology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, United States.
Endoscopy
|January 15, 2024
概括
准确的聚大小分类对于结肠镜监测至关重要. 有实时反的在线教育模块显著提高了学员分类息肉大小的能力,减少了影响患者护理的错误.
科学领域:
- 胃肠病学 胃肠病学
- 医学教育 医学教育
- 内镜手术 进行内镜手术
背景情况:
- 聚体的大小对于确定结肠镜监测间隔至关重要.
- 内镜师经常误估了多体的大小,导致监测策略不足于最佳.
- 准确的聚大小测定对于有效的结直肠癌查和预防至关重要.
研究的目的:
- 评估在线教育模块在培训人员中提高聚大小分类准确性的有效性.
- 为了确定教学指导和实时反对片大小的影响.
- 评估不同教育组件对将多细胞分类到临床相关的大小类别的准确性的影响.
主要方法:
- 进行了一项多中心随机对照试验.
- 参与者被分配到控制,仅视频,仅反或视频+反组.
- 主要结局是将多细胞分为微小 (1-5mm),小 (6-9mm) 和大 (≥10mm) 类别的准确性.
主要成果:
- 与对照组 (71.6%) 相比,接受实时反 (仅反和视频+反) 的组在聚大小分类中显示出明显更高的准确性 (分别为80.1%和78.9%).
- 与对照组相比,仅视频组的准确性没有显著改善.
- 反组表现出更好的精确的多体大小准确度和更高的学习曲线,高估值比低估值更常见.
结论:
- 一个在线教育模块,特别是实时反,显著提高了多体大小分类的准确性.
- 实时反是提高聚合物大小精度的关键组成部分.
- 这种可扩展的,无成本的教育干预可以优化结肠镜的利用率,改善患者的结果,并增加获得护理的机会.
更多相关视频
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
3.6K
05:04Author Spotlight: Evaluating Clinicians' Adoption of Ultrasound-Guided Vascular Cannulation Through Simulation Training
Published on: August 9, 2024
948
相关概念视频
Regression Toward the Mean
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Comparing Experimental Results: Student's t-Test
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
