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从综合整骨医学执照考试结果预测整骨医学学生在美国医学执照考试中的表现。

Predicting Osteopathic Medical Students' Performance on the United States Medical Licensing Examination From Results of the Comprehensive Osteopathic Medical Licensing Examination.

作者信息

Smith Travis, Kauffman Mark, Carmody J Bryan, Gnarra James

机构信息

Emergency Medicine, Lake Erie College of Osteopathic Medicine, Bradenton, USA.

Family Medicine, Lake Erie College of Osteopathic Medicine, Bradenton, USA.

出版信息

Cureus. 2021 Apr 4;13(4):e14288. doi: 10.7759/cureus.14288.

Abstract

Introduction The reliance on the United States Medical Licensing Examination (USMLE) Step 1 scores in residency selection creates problems for osteopathic medical students and the programs that review their applications. Although many osteopathic students take the USMLE to improve their standing for residency selection, students who score poorly may harm their candidacy. Simultaneously, programs unfamiliar with the Comprehensive Osteopathic Medical Licensing Examination (COMLEX-USA) may struggle to evaluate applicants who have not taken USMLE. Objective To determine the association between COMLEX-USA Level 1 and USMLE Step 1 scores and derive an equation that could be used to predict USMLE performance or approximate USMLE scores for applicants who have only taken COMLEX-USA. Methods We reviewed COMLEX-USA Level 1 and USMLE Step 1 scores for all students at the Lake Erie College of Osteopathic Medicine (LECOM), Bradenton campus, from January 2012 until December 2016. Linear regression was used to evaluate the relationship between COMLEX-USA Level 1 and USMLE Step 1 scores. Results Overall, 2097 students took both examinations during the study period. Every one-point increase in COMLEX-USA was associated with a 0.15 point increase in USMLE Step 1 score (standard error 11.5; model R 0.56). On average, students scored 30 percentile points lower on USMLE Step 1 than on COMLEX-USA, and 24% of students scoring <500 on COMLEX-USA Level 1 failed USMLE Step 1. Conclusions Students or programs interested in predicting performance on USMLE Step 1 from performance on COMLEX-USA Level 1 can do so with the following equation: USMLE Step 1 = 0.15 (COMLEX-USA Level 1) + 138.7.

摘要

引言

在住院医师选拔过程中依赖美国医师执照考试(USMLE)第一步的成绩给整骨医学学生以及审核他们申请的项目带来了问题。尽管许多整骨医学学生参加USMLE以提高他们在住院医师选拔中的地位,但成绩不佳的学生可能会损害他们的候选资格。同时,不熟悉综合整骨医学执照考试(COMLEX-USA)的项目可能难以评估未参加USMLE的申请人。

目的

确定COMLEX-USA一级考试成绩与USMLE第一步考试成绩之间的关联,并推导一个方程,该方程可用于预测USMLE的表现或估算仅参加了COMLEX-USA的申请人对应的USMLE成绩。

方法

我们回顾了2012年1月至2016年12月期间位于布雷登顿校区的伊利湖整骨医学院(LECOM)所有学生的COMLEX-USA一级考试成绩和USMLE第一步考试成绩。使用线性回归来评估COMLEX-USA一级考试成绩与USMLE第一步考试成绩之间的关系。

结果

总体而言,在研究期间有2097名学生参加了这两项考试。COMLEX-USA成绩每提高一分,USMLE第一步考试成绩平均提高0.15分(标准误差11.5;模型R值为0.56)。平均而言,学生在USMLE第一步考试中的得分比在COMLEX-USA考试中低30个百分点,并且在COMLEX-USA一级考试中得分低于500分的学生中有24%未能通过USMLE第一步考试。

结论

有意愿根据COMLEX-USA一级考试成绩预测USMLE第一步考试表现的学生或项目可以使用以下方程:USMLE第一步考试成绩 = 0.15×(COMLEX-USA一级考试成绩)+ 138.7。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/8096623/a71f298fec91/cureus-0013-00000014288-i01.jpg

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本文引用的文献

1
Double Jeopardy: The USMLE for Osteopathic Medical Students.
Acad Med. 2020 May;95(5):666. doi: 10.1097/ACM.0000000000003180.
3
Recommendations from the Council of Emergency Medicine Residency Directors: Osteopathic Applicants.
West J Emerg Med. 2019 Jan;20(1):111-116. doi: 10.5811/westjem.2018.9.39814. Epub 2018 Nov 19.
5
The Use of COMLEX-USA and USMLE for Residency Applicant Selection.
J Grad Med Educ. 2016 Jul;8(3):358-63. doi: 10.4300/JGME-D-15-00246.1.
8
COMLEX-1 and USMLE-1 are not interchangeable examinations.
Acad Emerg Med. 2010 Feb;17(2):218-20. doi: 10.1111/j.1553-2712.2009.00632.x.

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