Development, Validation, and Implementation of a Medical Judgment Metric

Background: Medical decision making is a critical, yet understudied, aspect of medical education. Aims: To develop the Medical Judgment Metric (MJM), a numerical rubric to quantify good decisions in practice in simulated environments; and to obtain initial preliminary evidence of reliability and val...

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Main Authors: Rami A. Ahmed DO, MHPE, Michele L. McCarroll PhD, Alan Schwartz PhD, M. David Gothard MS, S. Scott Atkinson, Patrick G. Hughes DO, Jose Ramon Cepeda Brito MD, Lori Assad MPH, Jerry G. Myers PhD, Richard L. George MD, MSPH, FACS
Format: Article
Language:English
Published: SAGE Publishing 2017-06-01
Series:MDM Policy & Practice
Online Access:https://doi.org/10.1177/2381468317715262
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spelling doaj-3ff2eb2397ed40c881c81170a6869d4c2020-11-25T03:11:21ZengSAGE PublishingMDM Policy & Practice2381-46832017-06-01210.1177/2381468317715262Development, Validation, and Implementation of a Medical Judgment MetricRami A. Ahmed DO, MHPEMichele L. McCarroll PhDAlan Schwartz PhDM. David Gothard MSS. Scott AtkinsonPatrick G. Hughes DOJose Ramon Cepeda Brito MDLori Assad MPHJerry G. Myers PhDRichard L. George MD, MSPH, FACSBackground: Medical decision making is a critical, yet understudied, aspect of medical education. Aims: To develop the Medical Judgment Metric (MJM), a numerical rubric to quantify good decisions in practice in simulated environments; and to obtain initial preliminary evidence of reliability and validity of the tool. Methods: The individual MJM items, domains, and sections of the MJM were built based on existing standardized frameworks. Content validity was determined by a convenient sample of eight experts. The MJM instrument was pilot tested in four medical simulations with a team of three medical raters assessing 40 participants with four levels of medical experience and skill. Results: Raters were highly consistent in their MJM scores in each scenario (intraclass correlation coefficient 0.965 to 0.987) as well as their evaluation of the expected patient outcome (Fleiss’s Kappa 0.791 to 0.906). For each simulation scenario, average rater cut-scores significantly predicted expected loss of life or stabilization (Cohen’s Kappa 0.851 to 0.880). Discussion : The MJM demonstrated preliminary evidence of reliability and validity.https://doi.org/10.1177/2381468317715262
collection DOAJ
language English
format Article
sources DOAJ
author Rami A. Ahmed DO, MHPE
Michele L. McCarroll PhD
Alan Schwartz PhD
M. David Gothard MS
S. Scott Atkinson
Patrick G. Hughes DO
Jose Ramon Cepeda Brito MD
Lori Assad MPH
Jerry G. Myers PhD
Richard L. George MD, MSPH, FACS
spellingShingle Rami A. Ahmed DO, MHPE
Michele L. McCarroll PhD
Alan Schwartz PhD
M. David Gothard MS
S. Scott Atkinson
Patrick G. Hughes DO
Jose Ramon Cepeda Brito MD
Lori Assad MPH
Jerry G. Myers PhD
Richard L. George MD, MSPH, FACS
Development, Validation, and Implementation of a Medical Judgment Metric
MDM Policy & Practice
author_facet Rami A. Ahmed DO, MHPE
Michele L. McCarroll PhD
Alan Schwartz PhD
M. David Gothard MS
S. Scott Atkinson
Patrick G. Hughes DO
Jose Ramon Cepeda Brito MD
Lori Assad MPH
Jerry G. Myers PhD
Richard L. George MD, MSPH, FACS
author_sort Rami A. Ahmed DO, MHPE
title Development, Validation, and Implementation of a Medical Judgment Metric
title_short Development, Validation, and Implementation of a Medical Judgment Metric
title_full Development, Validation, and Implementation of a Medical Judgment Metric
title_fullStr Development, Validation, and Implementation of a Medical Judgment Metric
title_full_unstemmed Development, Validation, and Implementation of a Medical Judgment Metric
title_sort development, validation, and implementation of a medical judgment metric
publisher SAGE Publishing
series MDM Policy & Practice
issn 2381-4683
publishDate 2017-06-01
description Background: Medical decision making is a critical, yet understudied, aspect of medical education. Aims: To develop the Medical Judgment Metric (MJM), a numerical rubric to quantify good decisions in practice in simulated environments; and to obtain initial preliminary evidence of reliability and validity of the tool. Methods: The individual MJM items, domains, and sections of the MJM were built based on existing standardized frameworks. Content validity was determined by a convenient sample of eight experts. The MJM instrument was pilot tested in four medical simulations with a team of three medical raters assessing 40 participants with four levels of medical experience and skill. Results: Raters were highly consistent in their MJM scores in each scenario (intraclass correlation coefficient 0.965 to 0.987) as well as their evaluation of the expected patient outcome (Fleiss’s Kappa 0.791 to 0.906). For each simulation scenario, average rater cut-scores significantly predicted expected loss of life or stabilization (Cohen’s Kappa 0.851 to 0.880). Discussion : The MJM demonstrated preliminary evidence of reliability and validity.
url https://doi.org/10.1177/2381468317715262
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