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

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 p...

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Autores principales: David, Michael C, Eley, Diann S, Schafer, Jennifer, Davies, Leo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5144892/
https://www.ncbi.nlm.nih.gov/pubmed/27980449
http://dx.doi.org/10.2147/AMEP.S122841
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author David, Michael C
Eley, Diann S
Schafer, Jennifer
Davies, Leo
author_facet David, Michael C
Eley, Diann S
Schafer, Jennifer
Davies, Leo
author_sort David, Michael C
collection PubMed
description 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.
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spelling pubmed-51448922016-12-15 Risk assessment of student performance in the International Foundations of Medicine Clinical Science Examination by the use of statistical modeling David, Michael C Eley, Diann S Schafer, Jennifer Davies, Leo Adv Med Educ Pract Original Research 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. Dove Medical Press 2016-12-02 /pmc/articles/PMC5144892/ /pubmed/27980449 http://dx.doi.org/10.2147/AMEP.S122841 Text en © 2016 David et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
David, Michael C
Eley, Diann S
Schafer, Jennifer
Davies, Leo
Risk assessment of student performance in the International Foundations of Medicine Clinical Science Examination by the use of statistical modeling
title 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_short 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
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5144892/
https://www.ncbi.nlm.nih.gov/pubmed/27980449
http://dx.doi.org/10.2147/AMEP.S122841
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