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First, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature

Objective: Medical errors represent a leading cause of patient morbidity and mortality. The aim of this study was to quantitatively analyze the existing scientific literature on medical errors in order to gain new insights in this important medical research area. Study Design: Web of Science databas...

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Autores principales: Atanasov, Atanas G., Yeung, Andy Wai Kan, Klager, Elisabeth, Eibensteiner, Fabian, Schaden, Eva, Kletecka-Pulker, Maria, Willschke, Harald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596242/
https://www.ncbi.nlm.nih.gov/pubmed/33178657
http://dx.doi.org/10.3389/fpubh.2020.558913
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author Atanasov, Atanas G.
Yeung, Andy Wai Kan
Klager, Elisabeth
Eibensteiner, Fabian
Schaden, Eva
Kletecka-Pulker, Maria
Willschke, Harald
author_facet Atanasov, Atanas G.
Yeung, Andy Wai Kan
Klager, Elisabeth
Eibensteiner, Fabian
Schaden, Eva
Kletecka-Pulker, Maria
Willschke, Harald
author_sort Atanasov, Atanas G.
collection PubMed
description Objective: Medical errors represent a leading cause of patient morbidity and mortality. The aim of this study was to quantitatively analyze the existing scientific literature on medical errors in order to gain new insights in this important medical research area. Study Design: Web of Science database was used to identify relevant publications, and bibliometric analysis was performed to quantitatively analyze the identified articles for prevailing research themes, contributing journals, institutions, countries, authors, and citation performance. Results: In total, 12,415 publications concerning medical errors were identified and quantitatively analyzed. The overall ratio of original research articles to reviews was 8.1:1, and temporal subset analysis revealed that the share of original research articles has been increasing over time. The United States contributed to nearly half (46.4%) of the total publications, and 8 of the top 10 most productive institutions were from the United States, with the remaining 2 located in Canada and the United Kingdom. Prevailing (frequently mentioned) and highly impactful (frequently cited) themes were errors related to drugs/medications, applications related to medicinal information technology, errors related to critical/intensive care units, to children, and mental conditions associated with medical errors (burnout, depression). Conclusions: The high prevalence of medical errors revealed from the existing literature indicates the high importance of future work invested in preventive approaches. Digital health technology applications are perceived to be of great promise to counteract medical errors, and further effort should be focused to study their optimal implementation in all medical areas, with special emphasis on critical areas such as intensive care and pediatric units.
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spelling pubmed-75962422020-11-10 First, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature Atanasov, Atanas G. Yeung, Andy Wai Kan Klager, Elisabeth Eibensteiner, Fabian Schaden, Eva Kletecka-Pulker, Maria Willschke, Harald Front Public Health Public Health Objective: Medical errors represent a leading cause of patient morbidity and mortality. The aim of this study was to quantitatively analyze the existing scientific literature on medical errors in order to gain new insights in this important medical research area. Study Design: Web of Science database was used to identify relevant publications, and bibliometric analysis was performed to quantitatively analyze the identified articles for prevailing research themes, contributing journals, institutions, countries, authors, and citation performance. Results: In total, 12,415 publications concerning medical errors were identified and quantitatively analyzed. The overall ratio of original research articles to reviews was 8.1:1, and temporal subset analysis revealed that the share of original research articles has been increasing over time. The United States contributed to nearly half (46.4%) of the total publications, and 8 of the top 10 most productive institutions were from the United States, with the remaining 2 located in Canada and the United Kingdom. Prevailing (frequently mentioned) and highly impactful (frequently cited) themes were errors related to drugs/medications, applications related to medicinal information technology, errors related to critical/intensive care units, to children, and mental conditions associated with medical errors (burnout, depression). Conclusions: The high prevalence of medical errors revealed from the existing literature indicates the high importance of future work invested in preventive approaches. Digital health technology applications are perceived to be of great promise to counteract medical errors, and further effort should be focused to study their optimal implementation in all medical areas, with special emphasis on critical areas such as intensive care and pediatric units. Frontiers Media S.A. 2020-10-16 /pmc/articles/PMC7596242/ /pubmed/33178657 http://dx.doi.org/10.3389/fpubh.2020.558913 Text en Copyright © 2020 Atanasov, Yeung, Klager, Eibensteiner, Schaden, Kletecka-Pulker and Willschke. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Atanasov, Atanas G.
Yeung, Andy Wai Kan
Klager, Elisabeth
Eibensteiner, Fabian
Schaden, Eva
Kletecka-Pulker, Maria
Willschke, Harald
First, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature
title First, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature
title_full First, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature
title_fullStr First, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature
title_full_unstemmed First, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature
title_short First, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature
title_sort first, do no harm (gone wrong): total-scale analysis of medical errors scientific literature
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596242/
https://www.ncbi.nlm.nih.gov/pubmed/33178657
http://dx.doi.org/10.3389/fpubh.2020.558913
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