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Identifying and prioritizing educational content from a malpractice claims database for clinical reasoning education in the vocational training of general practitioners
Diagnostic reasoning is an important topic in General Practitioners’ (GPs) vocational training. Interestingly, research has paid little attention to the content of the cases used in clinical reasoning education. Malpractice claims of diagnostic errors represent cases that impact patients and that re...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356624/ https://www.ncbi.nlm.nih.gov/pubmed/36529764 http://dx.doi.org/10.1007/s10459-022-10194-8 |
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author | van Sassen, Charlotte G. M. van den Berg, Pieter J. Mamede, Silvia Knol, Lilian Eikens-Jansen, Manon P. van den Broek, Walter W. Bindels, Patrick J. E. Zwaan, Laura |
author_facet | van Sassen, Charlotte G. M. van den Berg, Pieter J. Mamede, Silvia Knol, Lilian Eikens-Jansen, Manon P. van den Broek, Walter W. Bindels, Patrick J. E. Zwaan, Laura |
author_sort | van Sassen, Charlotte G. M. |
collection | PubMed |
description | Diagnostic reasoning is an important topic in General Practitioners’ (GPs) vocational training. Interestingly, research has paid little attention to the content of the cases used in clinical reasoning education. Malpractice claims of diagnostic errors represent cases that impact patients and that reflect potential knowledge gaps and contextual factors. With this study, we aimed to identify and prioritize educational content from a malpractice claims database in order to improve clinical reasoning education in GP training. With input from various experts in clinical reasoning and diagnostic error, we defined five priority criteria that reflect educational relevance. Fifty unique medical conditions from a malpractice claims database were scored on those priority criteria by stakeholders in clinical reasoning education in 2021. Subsequently, we calculated the mean total priority score for each condition. Mean total priority score (min 5–max 25) for all fifty diagnoses was 17,11 with a range from 13,89 to 19,61. We identified and described the fifteen highest scoring diseases (with priority scores ranging from 18,17 to 19,61). The prioritized conditions involved complex common (e.g., cardiovascular diseases, renal insufficiency and cancer), complex rare (e.g., endocarditis, ectopic pregnancy, testicular torsion) and more straightforward common conditions (e.g., tendon rupture/injury, eye infection). The claim cases often demonstrated atypical presentations or complex contextual factors. Including those malpractice cases in GP vocational training could enrich the illness scripts of diseases that are at high risk of errors, which may reduce diagnostic error and related patient harm. |
format | Online Article Text |
id | pubmed-10356624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-103566242023-07-21 Identifying and prioritizing educational content from a malpractice claims database for clinical reasoning education in the vocational training of general practitioners van Sassen, Charlotte G. M. van den Berg, Pieter J. Mamede, Silvia Knol, Lilian Eikens-Jansen, Manon P. van den Broek, Walter W. Bindels, Patrick J. E. Zwaan, Laura Adv Health Sci Educ Theory Pract Article Diagnostic reasoning is an important topic in General Practitioners’ (GPs) vocational training. Interestingly, research has paid little attention to the content of the cases used in clinical reasoning education. Malpractice claims of diagnostic errors represent cases that impact patients and that reflect potential knowledge gaps and contextual factors. With this study, we aimed to identify and prioritize educational content from a malpractice claims database in order to improve clinical reasoning education in GP training. With input from various experts in clinical reasoning and diagnostic error, we defined five priority criteria that reflect educational relevance. Fifty unique medical conditions from a malpractice claims database were scored on those priority criteria by stakeholders in clinical reasoning education in 2021. Subsequently, we calculated the mean total priority score for each condition. Mean total priority score (min 5–max 25) for all fifty diagnoses was 17,11 with a range from 13,89 to 19,61. We identified and described the fifteen highest scoring diseases (with priority scores ranging from 18,17 to 19,61). The prioritized conditions involved complex common (e.g., cardiovascular diseases, renal insufficiency and cancer), complex rare (e.g., endocarditis, ectopic pregnancy, testicular torsion) and more straightforward common conditions (e.g., tendon rupture/injury, eye infection). The claim cases often demonstrated atypical presentations or complex contextual factors. Including those malpractice cases in GP vocational training could enrich the illness scripts of diseases that are at high risk of errors, which may reduce diagnostic error and related patient harm. Springer Netherlands 2022-12-19 2023 /pmc/articles/PMC10356624/ /pubmed/36529764 http://dx.doi.org/10.1007/s10459-022-10194-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article van Sassen, Charlotte G. M. van den Berg, Pieter J. Mamede, Silvia Knol, Lilian Eikens-Jansen, Manon P. van den Broek, Walter W. Bindels, Patrick J. E. Zwaan, Laura Identifying and prioritizing educational content from a malpractice claims database for clinical reasoning education in the vocational training of general practitioners |
title | Identifying and prioritizing educational content from a malpractice claims database for clinical reasoning education in the vocational training of general practitioners |
title_full | Identifying and prioritizing educational content from a malpractice claims database for clinical reasoning education in the vocational training of general practitioners |
title_fullStr | Identifying and prioritizing educational content from a malpractice claims database for clinical reasoning education in the vocational training of general practitioners |
title_full_unstemmed | Identifying and prioritizing educational content from a malpractice claims database for clinical reasoning education in the vocational training of general practitioners |
title_short | Identifying and prioritizing educational content from a malpractice claims database for clinical reasoning education in the vocational training of general practitioners |
title_sort | identifying and prioritizing educational content from a malpractice claims database for clinical reasoning education in the vocational training of general practitioners |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356624/ https://www.ncbi.nlm.nih.gov/pubmed/36529764 http://dx.doi.org/10.1007/s10459-022-10194-8 |
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