Components of an Evidence-Based Analytic Rubric for Use in Medical School Admissions

2017 ◽  
Vol 107 (1) ◽  
pp. 65-71 ◽  
Author(s):  
Graham P. Shaw ◽  
Jonathan Coffman

Attrition from medical school remains a serious cause of concern for the medical education community. Thus, there is a need to improve our ability to select only those candidates who will succeed at medical school from many highly qualified and motivated applicants. This can be achieved, in part, by reducing the reliance on cognitive factors and increasing the use of noncognitive character traits in high-stakes admissions decisions. Herein we describe an analytic rubric that combines research-derived predictors of medical school success to generate a composite score for use in admissions decisions. The analytic rubric as described herein represents a significant step toward evidenced-based admissions that will facilitate a more consistent and transparent qualitative evaluation of medical school applicants beyond their grades and Medical College Admissions Test scores and contribute to a redesigned and improved admissions process.

2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Ricky Ellis ◽  
Peter Brennan ◽  
Jennifer Cleland ◽  
Amanda Lee ◽  
Duncan Scrimgeour

Abstract Aims Selection into UK medical school involves a combination of three measures: prior academic attainment, selection tests (e.g. the University Clinical Aptitude Test (UCAT), Biomedical Admissions Test (BMAT), or Graduate Medical School Admissions Test (GAMSAT)) followed by interview. We investigated the predictive power of current UK medical selection tests and measures of prior attainment on success in the Membership of the Royal College of Surgeons (MRCS) examination. Methods The UKMED database was used to analyse A-Levels and medical school selection data for all UK graduates who attempted the MRCS Part A written examination (n = 9729) and Part B clinical examination (n = 4644) between 2007 and 2017. Univariate analysis and Pearson correlation coefficients examined the relationship between selection scores and first attempt MRCS success. Results Successful MRCS Part A candidates scored higher in A-Levels, UCAT, BMAT and GAMSAT examinations (p < 0.05) than their unsuccessful peers, but no differences were observed for MRCS Part B. Statistically significant positive correlation was found between MRCS Part A, BMAT (r = 0.32, p < 0.001) and GAMSAT scores (r = 0.35, p = <0.001). While a weaker statistically significant correlation was found between Part A, A-Level (r = 0.14, p < 0.001) and UCAT scores (r = 0.25, p < 0.001). Conclusions This, the first study to investigate the relationship between all UK medical school selection tests and success in a postgraduate examination found statistically significant correlations between selection test scores and performance on Part A of the MRCS. The strength of correlations found in this study are similar to those of other validated selection tests used in the United States.


2009 ◽  
Vol 8 (1) ◽  
pp. 55-61 ◽  
Author(s):  
Steven W. Rissing ◽  
John G. Cogan

We present an inquiry-based, hands-on laboratory exercise on enzyme activity for an introductory college biology course for science majors. We measure student performance on a series of objective and subjective questions before and after completion of this exercise; we also measure performance of a similar cohort of students before and after completion of an existing, standard, “direct” exercise over the same topics. Although student performance on these questions increased significantly after completion of the inquiry exercise, it did not increase after completion of the control, standard exercise. Pressure to “cover” many complex topics as preparation for high-stakes examinations such as the Medical College Admissions Test may account for persistence of highly efficient, yet dubiously effective “cookbook” laboratory exercises in many science classes.


2013 ◽  
Vol 12 (2) ◽  
pp. 170-174 ◽  
Author(s):  
Robert C. Hilborn ◽  
Michael J. Friedlander

The recent report on the Scientific Foundations for Future Physicians (SFFP) and the revised Medical College Admissions Test (MCAT) reframe the preparation for medical school (and other health professional schools) in terms of competencies: what students should know and be able to do with that knowledge, with a strong emphasis on scientific inquiry and research skills. In this article, we will describe the thinking that went into the SFFP report and what it says about scientific and quantitative reasoning, focusing on biology and physics and the overlap between those fields. We then discuss how the SFFP report set the stage for the discussion of the recommendations for the revised MCAT, which will be implemented in 2015, again focusing the discussion on biology and physics. Based on that framework, we discuss the implications for undergraduate biology and physics education if students are to be prepared to demonstrate these competencies.


2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
R Ellis ◽  
P Brennan ◽  
J Cleland ◽  
A. Lee ◽  
D. Scrimgeour

Abstract Background Selection into UK medical school typically involves a combination of three measures: prior academic attainment, selection tests (e.g., the University Clinical Aptitude Test (UCAT), Biomedical Admissions Test (BMAT), Graduate Medical School Admissions Test (GAMSAT)), and an interview. We investigated whether prior attainment and selection test scores can predict MRCS success. Method We used the UKMED database to analyse selection data for all UK graduates who attempted MRCS Part A (n = 9729) and Part B (n = 4644) between 2007-2017. Univariate analysis and Pearson correlation coefficients were used to examine the relationship between selection scores and first attempt MRCS success. Results Successful MRCS Part A candidates had better A-Levels and higher scores in UCAT, BMAT and GAMSAT examinations (p < 0.001) than their unsuccessful peers. No statistically significant difference was observed for MRCS Part B. A moderate positive correlation was found between Part A, BMAT (r = 0.315, p < 0.001) and GAMSAT scores (r = 0.346, p < 0.001). A weak positive correlation was found between Part A, A-Level (r = 0.144, p < 0.001) and UCAT scores (r = 0.246, p < 0.001). Conclusions A-level results and medical school selection tests predict success in the knowledge-based (Part A) MRCS examination.


2002 ◽  
Vol 42 (2) ◽  
pp. 181-214 ◽  
Author(s):  
Charlotte G. Borst

“Is it possible to select medical students scientifically?” asked Mary D. Salter in a 1942 journal article that examined the Medical College Aptitude Test (MCAT). Salter, a Lecturer in Psychology at the Faculty of Medicine at the University of Toronto answered affirmatively, pointing out that “scientific selection of students would greatly reduce the wastage of time, money, and effort involved when students fail.”


2021 ◽  
Vol 49 (2) ◽  
pp. 181-189
Author(s):  
Nancy L. Zisk

AbstractThe tremendous toll that COVID-19 has taken on this country’s minority population is the most recent reminder of the health disparities between people of color and people who classify themselves as white. There are many reasons for these disparities, but one that gets less attention than it deserves is the lack of physicians of color available to treat patients of color.


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