Risk assessment of student performance in the International Foundations of Medicine Clinical Science Examination by the use of statistical modeling

Michael C David,1 Diann S Eley,2 Jennifer Schafer,2 Leo Davies,3 1School of Public Health, 2School of Medicine, The University of Queensland, Herston, QLD, 3Sydney Medical School, The University of Sydney, NSW, Australia Purpose: The primary aim of this study was to assess the predictive validity of...

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Main Authors: David MC, Eley DS, Schafer J, Davies L
Format: Article
Language:English
Published: Dove Medical Press 2016-12-01
Series:Advances in Medical Education and Practice
Subjects:
Online Access:https://www.dovepress.com/risk-assessment-of-student-performance-in-the-international-foundation-peer-reviewed-article-AMEP
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spelling doaj-9294619ad77d4c1cb5d13e27b57809f22020-11-24T22:41:40ZengDove Medical PressAdvances in Medical Education and Practice1179-72582016-12-01Volume 765366030308Risk assessment of student performance in the International Foundations of Medicine Clinical Science Examination by the use of statistical modelingDavid MCEley DSSchafer JDavies LMichael C David,1 Diann S Eley,2 Jennifer Schafer,2 Leo Davies,3 1School of Public Health, 2School of Medicine, The University of Queensland, Herston, QLD, 3Sydney Medical School, The University of Sydney, NSW, Australia Purpose: The primary aim of this study was to assess the predictive validity of cumulative grade point average (GPA) for performance in the International Foundations of Medicine (IFOM) Clinical Science Examination (CSE). A secondary aim was to develop a strategy for identifying students at risk of performing poorly in the IFOM CSE as determined by the National Board of Medical Examiners’ International Standard of Competence. Methods: Final year medical students from an Australian university medical school took the IFOM CSE as a formative assessment. Measures included overall IFOM CSE score as the dependent variable, cumulative GPA as the predictor, and the factors age, gender, year of enrollment, international or domestic status of student, and language spoken at home as covariates. Multivariable linear regression was used to measure predictor and covariate effects. Optimal thresholds of risk assessment were based on receiver-operating characteristic (ROC) curves. Results: Cumulative GPA (nonstandardized regression coefficient [B]: 81.83; 95% confidence interval [CI]: 68.13 to 95.53) and international status (B: –37.40; 95% CI: –57.85 to –16.96) from 427 students were found to be statistically associated with increased IFOM CSE ­performance. Cumulative GPAs of 5.30 (area under ROC [AROC]: 0.77; 95% CI: 0.72 to 0.82) and 4.90 (AROC: 0.72; 95% CI: 0.66 to 0.78) were identified as being thresholds of significant risk for domestic and international students, respectively. Conclusion: Using cumulative GPA as a predictor of IFOM CSE performance and accommodating for differences in international status, it is possible to identify students who are at risk of failing to satisfy the National Board of Medical Examiners’ International Standard of Competence. Keywords: academic performance, benchmarking, medical education, predictive validity, risk assessment, students at riskhttps://www.dovepress.com/risk-assessment-of-student-performance-in-the-international-foundation-peer-reviewed-article-AMEPacademic performancebenchmarkingpredictive validitystudents at risk
collection DOAJ
language English
format Article
sources DOAJ
author David MC
Eley DS
Schafer J
Davies L
spellingShingle David MC
Eley DS
Schafer J
Davies L
Risk assessment of student performance in the International Foundations of Medicine Clinical Science Examination by the use of statistical modeling
Advances in Medical Education and Practice
academic performance
benchmarking
predictive validity
students at risk
author_facet David MC
Eley DS
Schafer J
Davies L
author_sort David MC
title Risk assessment of student performance in the International Foundations of Medicine Clinical Science Examination by the use of statistical modeling
title_short Risk assessment of student performance in the International Foundations of Medicine Clinical Science Examination by the use of statistical modeling
title_full Risk assessment of student performance in the International Foundations of Medicine Clinical Science Examination by the use of statistical modeling
title_fullStr Risk assessment of student performance in the International Foundations of Medicine Clinical Science Examination by the use of statistical modeling
title_full_unstemmed Risk assessment of student performance in the International Foundations of Medicine Clinical Science Examination by the use of statistical modeling
title_sort risk assessment of student performance in the international foundations of medicine clinical science examination by the use of statistical modeling
publisher Dove Medical Press
series Advances in Medical Education and Practice
issn 1179-7258
publishDate 2016-12-01
description Michael C David,1 Diann S Eley,2 Jennifer Schafer,2 Leo Davies,3 1School of Public Health, 2School of Medicine, The University of Queensland, Herston, QLD, 3Sydney Medical School, The University of Sydney, NSW, Australia Purpose: The primary aim of this study was to assess the predictive validity of cumulative grade point average (GPA) for performance in the International Foundations of Medicine (IFOM) Clinical Science Examination (CSE). A secondary aim was to develop a strategy for identifying students at risk of performing poorly in the IFOM CSE as determined by the National Board of Medical Examiners’ International Standard of Competence. Methods: Final year medical students from an Australian university medical school took the IFOM CSE as a formative assessment. Measures included overall IFOM CSE score as the dependent variable, cumulative GPA as the predictor, and the factors age, gender, year of enrollment, international or domestic status of student, and language spoken at home as covariates. Multivariable linear regression was used to measure predictor and covariate effects. Optimal thresholds of risk assessment were based on receiver-operating characteristic (ROC) curves. Results: Cumulative GPA (nonstandardized regression coefficient [B]: 81.83; 95% confidence interval [CI]: 68.13 to 95.53) and international status (B: –37.40; 95% CI: –57.85 to –16.96) from 427 students were found to be statistically associated with increased IFOM CSE ­performance. Cumulative GPAs of 5.30 (area under ROC [AROC]: 0.77; 95% CI: 0.72 to 0.82) and 4.90 (AROC: 0.72; 95% CI: 0.66 to 0.78) were identified as being thresholds of significant risk for domestic and international students, respectively. Conclusion: Using cumulative GPA as a predictor of IFOM CSE performance and accommodating for differences in international status, it is possible to identify students who are at risk of failing to satisfy the National Board of Medical Examiners’ International Standard of Competence. Keywords: academic performance, benchmarking, medical education, predictive validity, risk assessment, students at risk
topic academic performance
benchmarking
predictive validity
students at risk
url https://www.dovepress.com/risk-assessment-of-student-performance-in-the-international-foundation-peer-reviewed-article-AMEP
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