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Protocol for development of an assessment tool for competency of ECG interpretation: expert consensus by the RAND/UCLA appropriateness method and cross-sectional testing using multidimensional item response theory

INTRODUCTION: Although the ECG is an important diagnostic tool in medical practice, the competency of ECG interpretation is considered to be poor. Diagnostic inaccuracy involving the misinterpretation of ECG can lead to inappropriate medical judgements and cause negative clinical outcomes, unnecessa...

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Autores principales: Inaba, Shinji, Yamamoto, Kazumichi, Kaga, Tomohiro, Wannous, Muhammad, Sakata, Masatsugu, Yamaguchi, Osamu, Furukawa, Toshi A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10231011/
https://www.ncbi.nlm.nih.gov/pubmed/37221035
http://dx.doi.org/10.1136/bmjopen-2023-072097
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author Inaba, Shinji
Yamamoto, Kazumichi
Kaga, Tomohiro
Wannous, Muhammad
Sakata, Masatsugu
Yamaguchi, Osamu
Furukawa, Toshi A
author_facet Inaba, Shinji
Yamamoto, Kazumichi
Kaga, Tomohiro
Wannous, Muhammad
Sakata, Masatsugu
Yamaguchi, Osamu
Furukawa, Toshi A
author_sort Inaba, Shinji
collection PubMed
description INTRODUCTION: Although the ECG is an important diagnostic tool in medical practice, the competency of ECG interpretation is considered to be poor. Diagnostic inaccuracy involving the misinterpretation of ECG can lead to inappropriate medical judgements and cause negative clinical outcomes, unnecessary medical testing and even fatalities. Despite the importance of assessing ECG interpretation skills, there is currently no established universal, standardised assessment tool for ECG interpretation. The current study seeks to (1) develop a set of items (ECG questions) for estimating competency of ECG interpretation by medical personnel by consensus among expert panels following a process based on the RAND/UCLA Appropriateness Method (RAM) and (2) analyse item parameters and multidimensional latent factors of the test set to develop an assessment tool. METHODS AND ANALYSIS: This study will be conducted in two steps: (1) selection of question items for ECG interpretation assessment by expert panels via a consensus process following RAM and (2) cross-sectional, web-based testing using a set of ECG questions. A multidisciplinary panel of experts will evaluate the answers and appropriateness and select 50 questions as the next step. Based on data collected from a predicted sample size of 438 test participants recruited from physicians, nurses, medical and nursing students, and other healthcare professionals, we plan to statistically analyse item parameters and participant performance using multidimensional item response theory. Additionally, we will attempt to detect possible latent factors in the competency of ECG interpretation. A test set of question items for ECG interpretation will be proposed on the basis of the extracted parameters. ETHICS AND DISSEMINATION: The protocol of this study was approved by the Institutional Review Board of Ehime University Graduate School of Medicine (IRB number: 2209008). We will obtain informed consent from all participants. The findings will be submitted for publication in peer-reviewed journals.
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spelling pubmed-102310112023-06-01 Protocol for development of an assessment tool for competency of ECG interpretation: expert consensus by the RAND/UCLA appropriateness method and cross-sectional testing using multidimensional item response theory Inaba, Shinji Yamamoto, Kazumichi Kaga, Tomohiro Wannous, Muhammad Sakata, Masatsugu Yamaguchi, Osamu Furukawa, Toshi A BMJ Open Cardiovascular Medicine INTRODUCTION: Although the ECG is an important diagnostic tool in medical practice, the competency of ECG interpretation is considered to be poor. Diagnostic inaccuracy involving the misinterpretation of ECG can lead to inappropriate medical judgements and cause negative clinical outcomes, unnecessary medical testing and even fatalities. Despite the importance of assessing ECG interpretation skills, there is currently no established universal, standardised assessment tool for ECG interpretation. The current study seeks to (1) develop a set of items (ECG questions) for estimating competency of ECG interpretation by medical personnel by consensus among expert panels following a process based on the RAND/UCLA Appropriateness Method (RAM) and (2) analyse item parameters and multidimensional latent factors of the test set to develop an assessment tool. METHODS AND ANALYSIS: This study will be conducted in two steps: (1) selection of question items for ECG interpretation assessment by expert panels via a consensus process following RAM and (2) cross-sectional, web-based testing using a set of ECG questions. A multidisciplinary panel of experts will evaluate the answers and appropriateness and select 50 questions as the next step. Based on data collected from a predicted sample size of 438 test participants recruited from physicians, nurses, medical and nursing students, and other healthcare professionals, we plan to statistically analyse item parameters and participant performance using multidimensional item response theory. Additionally, we will attempt to detect possible latent factors in the competency of ECG interpretation. A test set of question items for ECG interpretation will be proposed on the basis of the extracted parameters. ETHICS AND DISSEMINATION: The protocol of this study was approved by the Institutional Review Board of Ehime University Graduate School of Medicine (IRB number: 2209008). We will obtain informed consent from all participants. The findings will be submitted for publication in peer-reviewed journals. BMJ Publishing Group 2023-05-23 /pmc/articles/PMC10231011/ /pubmed/37221035 http://dx.doi.org/10.1136/bmjopen-2023-072097 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Cardiovascular Medicine
Inaba, Shinji
Yamamoto, Kazumichi
Kaga, Tomohiro
Wannous, Muhammad
Sakata, Masatsugu
Yamaguchi, Osamu
Furukawa, Toshi A
Protocol for development of an assessment tool for competency of ECG interpretation: expert consensus by the RAND/UCLA appropriateness method and cross-sectional testing using multidimensional item response theory
title Protocol for development of an assessment tool for competency of ECG interpretation: expert consensus by the RAND/UCLA appropriateness method and cross-sectional testing using multidimensional item response theory
title_full Protocol for development of an assessment tool for competency of ECG interpretation: expert consensus by the RAND/UCLA appropriateness method and cross-sectional testing using multidimensional item response theory
title_fullStr Protocol for development of an assessment tool for competency of ECG interpretation: expert consensus by the RAND/UCLA appropriateness method and cross-sectional testing using multidimensional item response theory
title_full_unstemmed Protocol for development of an assessment tool for competency of ECG interpretation: expert consensus by the RAND/UCLA appropriateness method and cross-sectional testing using multidimensional item response theory
title_short Protocol for development of an assessment tool for competency of ECG interpretation: expert consensus by the RAND/UCLA appropriateness method and cross-sectional testing using multidimensional item response theory
title_sort protocol for development of an assessment tool for competency of ecg interpretation: expert consensus by the rand/ucla appropriateness method and cross-sectional testing using multidimensional item response theory
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10231011/
https://www.ncbi.nlm.nih.gov/pubmed/37221035
http://dx.doi.org/10.1136/bmjopen-2023-072097
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