Predicting United States Medical Licensure Examination Step 2 clinical knowledge scores from previous academic indicators
Kristina A Monteiro, Paul George, Richard Dollase, Luba Dumenco Office of Medical Education, The Warren Alpert Medical School of Brown University, Providence, RI, USA Abstract: The use of multiple academic indicators to identify students at risk of experiencing difficulty...
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doaj-0432ba26a2cc4920be9cf6af7ee219ac2020-11-24T22:39:10ZengDove Medical PressAdvances in Medical Education and Practice1179-72582017-06-01Volume 838539133350Predicting United States Medical Licensure Examination Step 2 clinical knowledge scores from previous academic indicatorsMonteiro KAGeorge PDollase RDumenco LKristina A Monteiro, Paul George, Richard Dollase, Luba Dumenco Office of Medical Education, The Warren Alpert Medical School of Brown University, Providence, RI, USA Abstract: The use of multiple academic indicators to identify students at risk of experiencing difficulty completing licensure requirements provides an opportunity to increase support services prior to high-stakes licensure examinations, including the United States Medical Licensure Examination (USMLE) Step 2 clinical knowledge (CK). Step 2 CK is becoming increasingly important in decision-making by residency directors because of increasing undergraduate medical enrollment and limited available residency vacancies. We created and validated a regression equation to predict students’ Step 2 CK scores from previous academic indicators to identify students at risk, with sufficient time to intervene with additional support services as necessary. Data from three cohorts of students (N=218) with preclinical mean course exam score, National Board of Medical Examination subject examinations, and USMLE Step 1 and Step 2 CK between 2011 and 2013 were used in analyses. The authors created models capable of predicting Step 2 CK scores from academic indicators to identify at-risk students. In model 1, preclinical mean course exam score and Step 1 score accounted for 56% of the variance in Step 2 CK score. The second series of models included mean preclinical course exam score, Step 1 score, and scores on three NBME subject exams, and accounted for 67%–69% of the variance in Step 2 CK score. The authors validated the findings on the most recent cohort of graduating students (N=89) and predicted Step 2 CK score within a mean of four points (SD=8). The authors suggest using the first model as a needs assessment to gauge the level of future support required after completion of preclinical course requirements, and rescreening after three of six clerkships to identify students who might benefit from additional support before taking USMLE Step 2 CK. Keywords: assessment, at-risk students, licensure exam, medical education, Step 2 CK, USMLEhttps://www.dovepress.com/predicting-united-states-medical-licensure-examination-step-2-clinical-peer-reviewed-article-AMEPassessmentat-risk studentslicensure exammedical educationStep 2 CKUSMLE |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Monteiro KA George P Dollase R Dumenco L |
spellingShingle |
Monteiro KA George P Dollase R Dumenco L Predicting United States Medical Licensure Examination Step 2 clinical knowledge scores from previous academic indicators Advances in Medical Education and Practice assessment at-risk students licensure exam medical education Step 2 CK USMLE |
author_facet |
Monteiro KA George P Dollase R Dumenco L |
author_sort |
Monteiro KA |
title |
Predicting United States Medical Licensure Examination Step 2 clinical knowledge scores from previous academic indicators |
title_short |
Predicting United States Medical Licensure Examination Step 2 clinical knowledge scores from previous academic indicators |
title_full |
Predicting United States Medical Licensure Examination Step 2 clinical knowledge scores from previous academic indicators |
title_fullStr |
Predicting United States Medical Licensure Examination Step 2 clinical knowledge scores from previous academic indicators |
title_full_unstemmed |
Predicting United States Medical Licensure Examination Step 2 clinical knowledge scores from previous academic indicators |
title_sort |
predicting united states medical licensure examination step 2 clinical knowledge scores from previous academic indicators |
publisher |
Dove Medical Press |
series |
Advances in Medical Education and Practice |
issn |
1179-7258 |
publishDate |
2017-06-01 |
description |
Kristina A Monteiro, Paul George, Richard Dollase, Luba Dumenco Office of Medical Education, The Warren Alpert Medical School of Brown University, Providence, RI, USA Abstract: The use of multiple academic indicators to identify students at risk of experiencing difficulty completing licensure requirements provides an opportunity to increase support services prior to high-stakes licensure examinations, including the United States Medical Licensure Examination (USMLE) Step 2 clinical knowledge (CK). Step 2 CK is becoming increasingly important in decision-making by residency directors because of increasing undergraduate medical enrollment and limited available residency vacancies. We created and validated a regression equation to predict students’ Step 2 CK scores from previous academic indicators to identify students at risk, with sufficient time to intervene with additional support services as necessary. Data from three cohorts of students (N=218) with preclinical mean course exam score, National Board of Medical Examination subject examinations, and USMLE Step 1 and Step 2 CK between 2011 and 2013 were used in analyses. The authors created models capable of predicting Step 2 CK scores from academic indicators to identify at-risk students. In model 1, preclinical mean course exam score and Step 1 score accounted for 56% of the variance in Step 2 CK score. The second series of models included mean preclinical course exam score, Step 1 score, and scores on three NBME subject exams, and accounted for 67%–69% of the variance in Step 2 CK score. The authors validated the findings on the most recent cohort of graduating students (N=89) and predicted Step 2 CK score within a mean of four points (SD=8). The authors suggest using the first model as a needs assessment to gauge the level of future support required after completion of preclinical course requirements, and rescreening after three of six clerkships to identify students who might benefit from additional support before taking USMLE Step 2 CK. Keywords: assessment, at-risk students, licensure exam, medical education, Step 2 CK, USMLE |
topic |
assessment at-risk students licensure exam medical education Step 2 CK USMLE |
url |
https://www.dovepress.com/predicting-united-states-medical-licensure-examination-step-2-clinical-peer-reviewed-article-AMEP |
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