Suppr超能文献

医学课程的入学考试对学业成绩是一个良好的预测指标吗?都灵医学院的一项病例对照研究经验。

Is the admission test for a course in medicine a good predictor of academic performance? A case-control experience at the school of medicine of Turin.

作者信息

Migliaretti Giuseppe, Bozzaro Salvatore, Siliquini Roberta, Stura Ilaria, Costa Giuseppe, Cavallo Franco

机构信息

Department of Public Health and Pediatric Sciences, School of Medicine, University of Turin, Turin, Italy.

Department of Clinical and Biological Sciences, School of Medicine, University of Turin, Turin, Italy.

出版信息

BMJ Open. 2017 Dec 1;7(11):e017417. doi: 10.1136/bmjopen-2017-017417.

Abstract

OBJECTIVES

The usefulness of university admission tests to medical schools has been discussed in recent years. In the academic year 2014-15 in Italy, several students who failed the admission test appealed to the regional administrative court ('Tribunale Amministrativo Regionale'-TAR) requesting to be included, despite their test results, and all were admitted to their respective courses. The existence of this population of students generated a control group, in order to evaluate the predictive capacity of the admission test. The aim of the present work is to discuss the ability of university admission tests to predict subsequent academic success.

SETTING AND PARTICIPANTS

The study involved 683 students who enrolled onto the first year of the degree course in medicine in the academic year 2014-15 at the University of Turin (Molinette and San Luigi Gonzaga colleges). The students were separated into two categories: those who passed the admission test (n1=531) and those who did not pass the admission test but won their appeal in the TAR (n2=152).

OUTCOMES

The validity of the admission test was analysed using specificity, sensitivity, positive and negative likelihood ratios (LH+, LH-), receiver operating characteristic (ROC) curves, area under the ROC curve (AUC), and relative (95% CI).

RESULTS

The results showed that the admission test appeared to be a good tool for predicting the academic performances in the first year of the course (AUC=0.70, 95% CI 0.64 to 0.76). Moreover, some subject areas seemed to have a greater discriminating capacity than others. In general, students who obtained a high score in scientific questions were more likely to obtain the required standards during the first year (LH+ 1.22, 95% CI 1.14 to 1.25).

CONCLUSIONS

Based on a consistent statistical approach, our study seems to confirm the ability of the admission test to predict academic success in the first year at the school of medicine of Turin.

摘要

目的

近年来,关于医学院校入学考试的实用性一直存在讨论。在2014 - 2015学年的意大利,几名入学考试未通过的学生向地区行政法院(“Tribunale Amministrativo Regionale”-TAR)提出申诉,要求尽管考试成绩不佳仍能被录取,并且他们全部被各自申请的课程录取。这群学生的存在形成了一个对照组,以便评估入学考试的预测能力。本研究的目的是探讨大学入学考试预测后续学业成功的能力。

设置与参与者

该研究涉及683名在2014 - 2015学年于都灵大学(莫利内特和圣路易吉·贡扎加学院)注册医学学位课程第一年的学生。这些学生被分为两类:通过入学考试的学生(n1 = 531)和未通过入学考试但在TAR申诉成功的学生(n2 = 152)。

结果

使用特异性、敏感性、阳性和阴性似然比(LH +,LH -)、受试者工作特征(ROC)曲线、ROC曲线下面积(AUC)以及相对值(95% CI)对入学考试的有效性进行了分析。

结果

结果表明,入学考试似乎是预测课程第一年学业成绩的良好工具(AUC = 0.70,95% CI 0.64至0.76)。此外,一些学科领域似乎比其他领域具有更强的区分能力。总体而言,在科学问题上获得高分的学生在第一年更有可能达到所需标准(LH + 1.22,95% CI 1.14至1.

相似文献

引用本文的文献

本文引用的文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验