Dirección de Investigación, Hospital General de México Dr. Eduardo Liceaga. Mexico City, Mexico.
Department of Radiology, IM Sechenov First Moscow State Medical Univeristy, Sechenov University. Moscow, Russia.
Salud Publica Mex. 2019 Sep-Oct;61(5):637-647. doi: 10.21149/10078.
This study aimed to compare the performance in the National Assessment for Applicants for Medical Resi- dency (ENARM in spanish) of private versus public medical schools, geographic regions and socioeconomic levels by using three different statistical methods (summary measurements, the rate of change and the area under the receiver operator characteristics [AUROC]). These methods have not been previously used for the ENARM; however, some variations of the summary measurements have been reported in some USA assessments of medical school graduates.
Cross-sectional study based on historical data (2001-2017). We use summary measures and colourfilled map. The statistical analysis included Mann-Whitney U, Kruskal-Wallis, Spearman correlation coefficient (Rs), and linear regression.
A total of 113 medical schools were included in our analysis; 60 were public and 53 private. We found difference in the median of total scores for type of schools, MD= 54.07 vs. MD= 57.36, p= 0.011. There were also significant differences among geographic and socioeconomic regions (p<0.05).
Differences exist in the total scores and percentage of selected test-takers between type of schools, geographic and socioeconomic regions. Higher scores are prevalent in the Northeast and Norwest regions. Additional research is required to identify factors that contribute to these differences. Unsuspected differences in examination scores can be unveiled using summary measures.
本研究旨在通过三种不同的统计方法(综合测量、变化率和受试者工作特征曲线下的面积)比较私立和公立医学院、地理位置和社会经济水平在国家医师住院医师评估(ENARM)中的表现。这些方法以前没有在 ENARM 中使用过;然而,一些关于医学生毕业的美国评估的变化率已经有报道。
基于历史数据(2001-2017 年)的横断面研究。我们使用综合测量和彩色地图。统计分析包括曼-惠特尼 U 检验、克鲁斯卡尔-沃利斯检验、斯皮尔曼相关系数(Rs)和线性回归。
共有 113 所医学院纳入我们的分析,其中 60 所为公立,53 所为私立。我们发现学校类型的总得分中位数存在差异,MD=54.07 与 MD=57.36,p=0.011。地理位置和社会经济区域之间也存在显著差异(p<0.05)。
学校类型、地理位置和社会经济区域之间的总得分和选定考生的百分比存在差异。东北部和西北部地区的得分较高。需要进一步研究以确定导致这些差异的因素。使用综合测量可以揭示考试成绩中意想不到的差异。