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Relating Medical Errors to Medical Specialties: A Mixed Analysis Based on Litigation Documents and Qualitative Data

BACKGROUND: We know a great deal about types, causes, and prevention of medical errors, as well as the risks of each medical specialties. Although we know something about medical errors, much remains to be done in this area particularly around effective prevention. However, little is known about whe...

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Autores principales: Liu, Junqiang, Liu, Paicheng, Gong, Xue, Liang, Fengbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182706/
https://www.ncbi.nlm.nih.gov/pubmed/32368164
http://dx.doi.org/10.2147/RMHP.S246452
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author Liu, Junqiang
Liu, Paicheng
Gong, Xue
Liang, Fengbo
author_facet Liu, Junqiang
Liu, Paicheng
Gong, Xue
Liang, Fengbo
author_sort Liu, Junqiang
collection PubMed
description BACKGROUND: We know a great deal about types, causes, and prevention of medical errors, as well as the risks of each medical specialties. Although we know something about medical errors, much remains to be done in this area particularly around effective prevention. However, little is known about whether medical errors are related to medical specialties. Our objective was to categorize and map the distribution of medical errors and analyze their relationships with medical specialties. METHODS: First, public cases of medical disputes were searched on “China Judgment Online” according to the key words including medical errors. Second, we set up a database with 5237 medical litigations. After removing unrelated judgment documents, we used systematic random sampling to extract half of these. Then, we hired two frontline physicians with M.D. to review the litigation documents and independently determine the medical errors and the departments in which they took place. A third physician further reviewed the divergent results. After the descriptive statistical analysis and mind map analysis, semi-structured interviews were further conducted with 63 doctors to reveal the relationships mentioned above. RESULTS: More than 97.8% of medical errors occurred in clinical departments. The insufficient implementation of informed consent obligations is the top medical error in all medical departments [internal medical departments (12.86%, N=36), surgical departments (14.57%, N=106), specialist departments (13.16%, N=86)]. The types of medical errors in diverse medical departments might be associated with therapeutic means used by physicians. Errors related to surgical operations were common in surgical departments, errors related to diagnoses were common in internal medicine departments, and errors related to therapy were common in specialist departments. A lack of clinical experience and undesirable work system design have contributed to the occurrence of medical errors. Inadequate human resources and unreasonable shift systems have increased the workload of staff members and this has in turn increased the incidence rate of medical errors. CONCLUSION: Medical departments are facing medical errors both in humanity and technology. Medical institutions should be alert to the harm caused by medical humanity (mainly including insufficient communication between physicians and patients, insufficient implementation of infringement of informed consent, infringement of patient’s privacy and overtreatment). Improving the clinical skill and vigilance of medical staff is a top priority. Medical institutions should also improve undesirable system designs.
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spelling pubmed-71827062020-05-04 Relating Medical Errors to Medical Specialties: A Mixed Analysis Based on Litigation Documents and Qualitative Data Liu, Junqiang Liu, Paicheng Gong, Xue Liang, Fengbo Risk Manag Healthc Policy Original Research BACKGROUND: We know a great deal about types, causes, and prevention of medical errors, as well as the risks of each medical specialties. Although we know something about medical errors, much remains to be done in this area particularly around effective prevention. However, little is known about whether medical errors are related to medical specialties. Our objective was to categorize and map the distribution of medical errors and analyze their relationships with medical specialties. METHODS: First, public cases of medical disputes were searched on “China Judgment Online” according to the key words including medical errors. Second, we set up a database with 5237 medical litigations. After removing unrelated judgment documents, we used systematic random sampling to extract half of these. Then, we hired two frontline physicians with M.D. to review the litigation documents and independently determine the medical errors and the departments in which they took place. A third physician further reviewed the divergent results. After the descriptive statistical analysis and mind map analysis, semi-structured interviews were further conducted with 63 doctors to reveal the relationships mentioned above. RESULTS: More than 97.8% of medical errors occurred in clinical departments. The insufficient implementation of informed consent obligations is the top medical error in all medical departments [internal medical departments (12.86%, N=36), surgical departments (14.57%, N=106), specialist departments (13.16%, N=86)]. The types of medical errors in diverse medical departments might be associated with therapeutic means used by physicians. Errors related to surgical operations were common in surgical departments, errors related to diagnoses were common in internal medicine departments, and errors related to therapy were common in specialist departments. A lack of clinical experience and undesirable work system design have contributed to the occurrence of medical errors. Inadequate human resources and unreasonable shift systems have increased the workload of staff members and this has in turn increased the incidence rate of medical errors. CONCLUSION: Medical departments are facing medical errors both in humanity and technology. Medical institutions should be alert to the harm caused by medical humanity (mainly including insufficient communication between physicians and patients, insufficient implementation of infringement of informed consent, infringement of patient’s privacy and overtreatment). Improving the clinical skill and vigilance of medical staff is a top priority. Medical institutions should also improve undesirable system designs. Dove 2020-04-20 /pmc/articles/PMC7182706/ /pubmed/32368164 http://dx.doi.org/10.2147/RMHP.S246452 Text en © 2020 Liu et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Liu, Junqiang
Liu, Paicheng
Gong, Xue
Liang, Fengbo
Relating Medical Errors to Medical Specialties: A Mixed Analysis Based on Litigation Documents and Qualitative Data
title Relating Medical Errors to Medical Specialties: A Mixed Analysis Based on Litigation Documents and Qualitative Data
title_full Relating Medical Errors to Medical Specialties: A Mixed Analysis Based on Litigation Documents and Qualitative Data
title_fullStr Relating Medical Errors to Medical Specialties: A Mixed Analysis Based on Litigation Documents and Qualitative Data
title_full_unstemmed Relating Medical Errors to Medical Specialties: A Mixed Analysis Based on Litigation Documents and Qualitative Data
title_short Relating Medical Errors to Medical Specialties: A Mixed Analysis Based on Litigation Documents and Qualitative Data
title_sort relating medical errors to medical specialties: a mixed analysis based on litigation documents and qualitative data
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182706/
https://www.ncbi.nlm.nih.gov/pubmed/32368164
http://dx.doi.org/10.2147/RMHP.S246452
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