学习曲线累积总和方法在评估手臂块能力方面的准确性
Getúlio Rodrigues de Oliveira Filho1, Jorge Hamilton Soares Garcia
1From the Department of Surgery, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
Anesthesia and analgesia
|June 11, 2024
概括
学习曲线累积和 (LC-CUSUM) 方法显示出显著的错误阳性和错误负率,质疑它们在评估 resident 能力时的准确性.
科学领域:
- 医学教育 医学教育
- 麻醉学 麻醉学
- 医学中的统计方法.
背景情况:
- 学习曲线累积和 (LC-CUSUM) 和风险调整的LC-CUSUM (RA-LC-CUSUM) 方法用于监测程序技能能力.
- 关于这些LC-CUSUM方法的准确性存在有限的数据.
研究的目的:
- 为了比较LC-CUSUM和RA-LC-CUSUM在评估居民能力方面的准确性.
- 为了评估这些方法,使用手臂块 (BPBs) 的历史数据来评估这些方法.
主要方法:
- 分析了32名麻醉医生进行的1713次BPB.
- 使用LC-CUSUM和RA-LC-CUSUM构建的学习曲线.
- 定义能力为最大15%的累积失败率.
主要成果:
- 在84.6%的居民中,LC-CUSUM确定了能力;在76.9%的居民中,RA-LC-CUSUM确定了能力 (P = .001).
- 在能力方面的中位失败率相似 (两种方法的6.5%,P = .37).
- 灵敏度和特异性在LC-CUSUM和RA-LC-CUSUM之间是可比的,错误率很高.
结论:
- 这两种LC-CUSUM和RA-LC-CUSUM方法都显示出显著的错误阳性和错误阴性率.
- 观察到的准确度指标表明,关于BPB的居民能力的高风险决策存在潜在的不准确性.
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