Lakoff Joshua, Howse Kelly, Cofie Nicholas, Heeneman Sylvia, Dalgarno Nancy
Queen's University, Ontario, Canada.
Maastricht University, Limburg, Netherlands.
Can Med Educ J. 2020 Jul 15;11(3):e43-e55. doi: 10.36834/cmej.68981. eCollection 2020 Jul.
In North America, there is limited data to support deliberate application strategies for post-graduate residency training. There is significant interest in determining what factors play a role in Canadian medical graduate (CMG) matching to their first choice discipline and heightened concern about the number of students going unmatched altogether.
We analyzed matching outcomes of CMGs based on seven years (2013-2019) of residency application data (= 13,499) from the Canadian Residency Matching Service (CaRMS) database using descriptive and binary logistic regression modeling techniques.
The sample was 54% female, with 60% between the ages of 26 and 29, and 60% attended medical schools in Ontario. Applicants who received more rankings from residency programs were more likely (OR = 1.185, < 0.001) to match. Higher research activities (OR = 0.985, < 0.001) and number of applications submitted (OR = 0.920, < 0.001) were associated with a reduced likelihood of matching. Number of volunteer activities and self-report publications did not significantly affect matching. Being male (OR = 0.799, < 0.05) aged <25 (OR = 0.756, < 0.05), and from Eastern (OR = 0.497, < 0.01), or Western (OR = 0.450, < 0.001) Canadian medical schools were predictors of remaining unmatched.
This study identified several significant associations of demographic and application factors that affected matching outcomes. The results will help to better inform medical student application strategies and highlight possible biases in the selection process.
在北美,支持研究生住院医师培训的刻意申请策略的数据有限。确定哪些因素在加拿大医学毕业生(CMG)与他们的首选学科匹配中起作用具有重大意义,同时对完全未匹配的学生数量也日益担忧。
我们使用描述性和二元逻辑回归建模技术,分析了来自加拿大住院医师匹配服务(CaRMS)数据库的七年(2013 - 2019年)住院医师申请数据(= 13499)中CMG的匹配结果。
样本中54%为女性,60%年龄在26至29岁之间,60%在安大略省的医学院就读。获得更多住院医师项目排名的申请人更有可能(OR = 1.185,< 0.001)匹配。更高的研究活动(OR = 0.985,< 0.001)和提交的申请数量(OR = 0.920,< 0.001)与匹配可能性降低相关。志愿者活动数量和自我报告的出版物数量对匹配没有显著影响。男性(OR = 0.799,< 0.05)、年龄<25岁(OR = 0.756,< 0.05)以及来自加拿大东部(OR = 0.497,< 0.01)或西部(OR = 0.450,< 0.001)医学院的学生是未匹配的预测因素。
本研究确定了影响匹配结果的人口统计学和申请因素的几个重要关联。结果将有助于更好地为医学生的申请策略提供信息,并突出选拔过程中可能存在的偏差。