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Error Disclosure Algorithms: How to Disclose Colleague’s Medical Error at Individual and Organizational Levels

Background: Medical error is one of the most important causes of mortality and morbidity in the health care system. Considering the significance of medical error management in the healthcare system, error disclosure is an imperative moral responsibility of medical and healthcare professionals from m...

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Autores principales: Mashayekhi, Jannat, Forouzandeh, Mina, Saeedi Tehrani, Saeedeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iran University of Medical Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985624/
https://www.ncbi.nlm.nih.gov/pubmed/35465170
http://dx.doi.org/10.47176/mjiri.35.163
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author Mashayekhi, Jannat
Forouzandeh, Mina
Saeedi Tehrani, Saeedeh
author_facet Mashayekhi, Jannat
Forouzandeh, Mina
Saeedi Tehrani, Saeedeh
author_sort Mashayekhi, Jannat
collection PubMed
description Background: Medical error is one of the most important causes of mortality and morbidity in the health care system. Considering the significance of medical error management in the healthcare system, error disclosure is an imperative moral responsibility of medical and healthcare professionals from medical ethics experts’ perspective. In literature, no or inadequate protocols were suggested for disclosing colleague’s medical error; and hence, this study was conducted to provide two algorithms for colleague’s medical error disclosure at individual and organizational levels. Methods: This study conducted a narrative review on several valid Internet databases, including PubMed, Science Direct, and Scopus. First, the literature on the colleague’s error was reviewed using articles of the last 20 years focusing on medical errors and error disclosure keywords. Next, two algorithms were developed for the colleague’s error disclosure for individuals and with the assistance of organizations, respectively. Results: If we personally notice a colleague's error at an individual level, we should plan for a conversation to encourage the colleague to inform the patient or the related organization about the error. If we notice a medical error from a colleague relating to an organization, we should decide based on circumstances considering the organization’s responsible parties for handling error disclosure. Conclusion: This study proposes a simple protocol for detecting peer error at the individual level and at the organizational level, using the existing literature. However, the improvement of these types of methods requires analysis of the specific conditions of each health system.
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spelling pubmed-89856242022-04-22 Error Disclosure Algorithms: How to Disclose Colleague’s Medical Error at Individual and Organizational Levels Mashayekhi, Jannat Forouzandeh, Mina Saeedi Tehrani, Saeedeh Med J Islam Repub Iran Original Article Background: Medical error is one of the most important causes of mortality and morbidity in the health care system. Considering the significance of medical error management in the healthcare system, error disclosure is an imperative moral responsibility of medical and healthcare professionals from medical ethics experts’ perspective. In literature, no or inadequate protocols were suggested for disclosing colleague’s medical error; and hence, this study was conducted to provide two algorithms for colleague’s medical error disclosure at individual and organizational levels. Methods: This study conducted a narrative review on several valid Internet databases, including PubMed, Science Direct, and Scopus. First, the literature on the colleague’s error was reviewed using articles of the last 20 years focusing on medical errors and error disclosure keywords. Next, two algorithms were developed for the colleague’s error disclosure for individuals and with the assistance of organizations, respectively. Results: If we personally notice a colleague's error at an individual level, we should plan for a conversation to encourage the colleague to inform the patient or the related organization about the error. If we notice a medical error from a colleague relating to an organization, we should decide based on circumstances considering the organization’s responsible parties for handling error disclosure. Conclusion: This study proposes a simple protocol for detecting peer error at the individual level and at the organizational level, using the existing literature. However, the improvement of these types of methods requires analysis of the specific conditions of each health system. Iran University of Medical Sciences 2021-12-08 /pmc/articles/PMC8985624/ /pubmed/35465170 http://dx.doi.org/10.47176/mjiri.35.163 Text en © 2021 Iran University of Medical Sciences https://creativecommons.org/licenses/by-nc-sa/1.0/This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial-ShareAlike 1.0 License (CC BY-NC-SA 1.0), which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Original Article
Mashayekhi, Jannat
Forouzandeh, Mina
Saeedi Tehrani, Saeedeh
Error Disclosure Algorithms: How to Disclose Colleague’s Medical Error at Individual and Organizational Levels
title Error Disclosure Algorithms: How to Disclose Colleague’s Medical Error at Individual and Organizational Levels
title_full Error Disclosure Algorithms: How to Disclose Colleague’s Medical Error at Individual and Organizational Levels
title_fullStr Error Disclosure Algorithms: How to Disclose Colleague’s Medical Error at Individual and Organizational Levels
title_full_unstemmed Error Disclosure Algorithms: How to Disclose Colleague’s Medical Error at Individual and Organizational Levels
title_short Error Disclosure Algorithms: How to Disclose Colleague’s Medical Error at Individual and Organizational Levels
title_sort error disclosure algorithms: how to disclose colleague’s medical error at individual and organizational levels
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985624/
https://www.ncbi.nlm.nih.gov/pubmed/35465170
http://dx.doi.org/10.47176/mjiri.35.163
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