Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1782473199488860160 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5144892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT davidmichaelc riskassessmentofstudentperformanceintheinternationalfoundationsofmedicineclinicalscienceexaminationbytheuseofstatisticalmodeling AT eleydianns riskassessmentofstudentperformanceintheinternationalfoundationsofmedicineclinicalscienceexaminationbytheuseofstatisticalmodeling AT schaferjennifer riskassessmentofstudentperformanceintheinternationalfoundationsofmedicineclinicalscienceexaminationbytheuseofstatisticalmodeling AT daviesleo riskassessmentofstudentperformanceintheinternationalfoundationsofmedicineclinicalscienceexaminationbytheuseofstatisticalmodeling |