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Early prediction of the risk of scoring lower than 500 on the COMLEX 1

BACKGROUND: The Comprehensive Osteopathic Medical Licensing Examination of the United States Level 1 (COMLEX 1) is important for medical students to be able to graduate. There is a glaring need to identify students who are at a significant risk of performing poorly on COMLEX 1 as early as possible s...

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Autores principales: Zhong, Qing, Wang, Han, Christensen, Payton, McNeil, Kevin, Linton, Matthew, Payton, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7819165/
https://www.ncbi.nlm.nih.gov/pubmed/33478500
http://dx.doi.org/10.1186/s12909-021-02501-5
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author Zhong, Qing
Wang, Han
Christensen, Payton
McNeil, Kevin
Linton, Matthew
Payton, Mark
author_facet Zhong, Qing
Wang, Han
Christensen, Payton
McNeil, Kevin
Linton, Matthew
Payton, Mark
author_sort Zhong, Qing
collection PubMed
description BACKGROUND: The Comprehensive Osteopathic Medical Licensing Examination of the United States Level 1 (COMLEX 1) is important for medical students to be able to graduate. There is a glaring need to identify students who are at a significant risk of performing poorly on COMLEX 1 as early as possible so that extra assistance can be provided to those students. Our goal is to produce a reliable predictive model to identify students who are at risk of scoring lower than 500 on COMLEX 1 at the earliest possible time. METHODS: Academic data from medical students who matriculated at Rocky Vista University College of Osteopathic Medicine between 2011 and 2017 were obtained. Odds ratios were used to assess the predictors for scoring lower than 500 on COMLEX 1. Correlation with COMLEX 1 scores was assessed with Pearson correlation coefficient. The predictive models were developed by multiple logistic regression, backward logistic regression, and logistic regression with average scores in courses in the first three semesters, and were based on performances on the Medical College Admissions Test (MCAT) before admission, as well as students’ performances in preclinical courses during the first three semesters. The models were generated in about 82% of the student performance data and were then validated in the remaining 18% of the data. RESULTS: Odds ratios showed that MCAT scores and final grades in each course in the first three semesters were significant in predicting a score lower than 500 on COMLEX 1. Performances in third-semester courses including Renal System II, Cardiovascular System II, and Respiratory System II were most important in prediction. The three predictive models had sensitivities of 65.8 -71%, and specificities of 83.2 - 88.2% in predicting a score lower than 500 on COMLEX 1. CONCLUSIONS: Lower MCAT scores and lower grades in the first three semesters of medical school predict scoring lower than 500 on COMLEX 1. Students who are identified at risk by our models will have a 65.8 -71% chance of actually scoring lower than 500 on COMLEX 1. Those students will have enough time to receive assistance before taking COMLEX 1.
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spelling pubmed-78191652021-01-22 Early prediction of the risk of scoring lower than 500 on the COMLEX 1 Zhong, Qing Wang, Han Christensen, Payton McNeil, Kevin Linton, Matthew Payton, Mark BMC Med Educ Research Article BACKGROUND: The Comprehensive Osteopathic Medical Licensing Examination of the United States Level 1 (COMLEX 1) is important for medical students to be able to graduate. There is a glaring need to identify students who are at a significant risk of performing poorly on COMLEX 1 as early as possible so that extra assistance can be provided to those students. Our goal is to produce a reliable predictive model to identify students who are at risk of scoring lower than 500 on COMLEX 1 at the earliest possible time. METHODS: Academic data from medical students who matriculated at Rocky Vista University College of Osteopathic Medicine between 2011 and 2017 were obtained. Odds ratios were used to assess the predictors for scoring lower than 500 on COMLEX 1. Correlation with COMLEX 1 scores was assessed with Pearson correlation coefficient. The predictive models were developed by multiple logistic regression, backward logistic regression, and logistic regression with average scores in courses in the first three semesters, and were based on performances on the Medical College Admissions Test (MCAT) before admission, as well as students’ performances in preclinical courses during the first three semesters. The models were generated in about 82% of the student performance data and were then validated in the remaining 18% of the data. RESULTS: Odds ratios showed that MCAT scores and final grades in each course in the first three semesters were significant in predicting a score lower than 500 on COMLEX 1. Performances in third-semester courses including Renal System II, Cardiovascular System II, and Respiratory System II were most important in prediction. The three predictive models had sensitivities of 65.8 -71%, and specificities of 83.2 - 88.2% in predicting a score lower than 500 on COMLEX 1. CONCLUSIONS: Lower MCAT scores and lower grades in the first three semesters of medical school predict scoring lower than 500 on COMLEX 1. Students who are identified at risk by our models will have a 65.8 -71% chance of actually scoring lower than 500 on COMLEX 1. Those students will have enough time to receive assistance before taking COMLEX 1. BioMed Central 2021-01-21 /pmc/articles/PMC7819165/ /pubmed/33478500 http://dx.doi.org/10.1186/s12909-021-02501-5 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Zhong, Qing
Wang, Han
Christensen, Payton
McNeil, Kevin
Linton, Matthew
Payton, Mark
Early prediction of the risk of scoring lower than 500 on the COMLEX 1
title Early prediction of the risk of scoring lower than 500 on the COMLEX 1
title_full Early prediction of the risk of scoring lower than 500 on the COMLEX 1
title_fullStr Early prediction of the risk of scoring lower than 500 on the COMLEX 1
title_full_unstemmed Early prediction of the risk of scoring lower than 500 on the COMLEX 1
title_short Early prediction of the risk of scoring lower than 500 on the COMLEX 1
title_sort early prediction of the risk of scoring lower than 500 on the comlex 1
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7819165/
https://www.ncbi.nlm.nih.gov/pubmed/33478500
http://dx.doi.org/10.1186/s12909-021-02501-5
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