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Rate of Medical Errors in Affiliated Hospitals of Mazandaran University of Medical Sciences

INTRODUCTION: Health care organizations are highly specialized and complex. Thus we may expect the adverse events will inevitably occur. Building a medical error reporting system to analyze the reported preventable adverse events and learn from their results can help to prevent the repeat of these e...

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Autores principales: Saravi, Benyamin Mohseni, Mardanshahi, Alireza, Ranjbar, Mansour, Siamian, Hasan, Azar, Masoud Shayeste, Asghari, Zolikah, Motamed, Nima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AVICENA, d.o.o., Sarajevo 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4384853/
https://www.ncbi.nlm.nih.gov/pubmed/25870528
http://dx.doi.org/10.5455/msm.2014.27.31-34
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author Saravi, Benyamin Mohseni
Mardanshahi, Alireza
Ranjbar, Mansour
Siamian, Hasan
Azar, Masoud Shayeste
Asghari, Zolikah
Motamed, Nima
author_facet Saravi, Benyamin Mohseni
Mardanshahi, Alireza
Ranjbar, Mansour
Siamian, Hasan
Azar, Masoud Shayeste
Asghari, Zolikah
Motamed, Nima
author_sort Saravi, Benyamin Mohseni
collection PubMed
description INTRODUCTION: Health care organizations are highly specialized and complex. Thus we may expect the adverse events will inevitably occur. Building a medical error reporting system to analyze the reported preventable adverse events and learn from their results can help to prevent the repeat of these events. The medical errors which were reported to the Clinical Governance’s office of Mazandaran University of Medical Sciences (MazUMS) in years 2011-2012 were analyzed. METHODS AND MATERIALS: This is a descriptive retrospective study in which 18 public hospitals were participated. The instrument of data collection was checklist that was designed by the Ministry of Health of Iran. Variables were type of hospital, unit of hospital, season, severity of event and type of error. The data were analyzed with SPSS software. RESULTS: Of 317966 admissions 182 cases, about 0.06%, medical error reported of which most of the reports (%51.6) were from non- teaching hospitals. Among various units of hospital, the highest frequency of medical error was related to surgical unit (%42.3). The frequency of medical error according to the type of error was also evaluated of which the highest frequency was related to inappropriate and no care (totally 37%) and medication error 28%. We also analyzed the data with respect to the effect of the error on a patient of which the highest frequency was related to minor effect (44.5%). CONCLUSION: The results showed that a wide variety of errors. Encourage and revision of the reporting process will be result to know more data for prevention of them.
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spelling pubmed-43848532015-04-13 Rate of Medical Errors in Affiliated Hospitals of Mazandaran University of Medical Sciences Saravi, Benyamin Mohseni Mardanshahi, Alireza Ranjbar, Mansour Siamian, Hasan Azar, Masoud Shayeste Asghari, Zolikah Motamed, Nima Mater Sociomed Original Paper INTRODUCTION: Health care organizations are highly specialized and complex. Thus we may expect the adverse events will inevitably occur. Building a medical error reporting system to analyze the reported preventable adverse events and learn from their results can help to prevent the repeat of these events. The medical errors which were reported to the Clinical Governance’s office of Mazandaran University of Medical Sciences (MazUMS) in years 2011-2012 were analyzed. METHODS AND MATERIALS: This is a descriptive retrospective study in which 18 public hospitals were participated. The instrument of data collection was checklist that was designed by the Ministry of Health of Iran. Variables were type of hospital, unit of hospital, season, severity of event and type of error. The data were analyzed with SPSS software. RESULTS: Of 317966 admissions 182 cases, about 0.06%, medical error reported of which most of the reports (%51.6) were from non- teaching hospitals. Among various units of hospital, the highest frequency of medical error was related to surgical unit (%42.3). The frequency of medical error according to the type of error was also evaluated of which the highest frequency was related to inappropriate and no care (totally 37%) and medication error 28%. We also analyzed the data with respect to the effect of the error on a patient of which the highest frequency was related to minor effect (44.5%). CONCLUSION: The results showed that a wide variety of errors. Encourage and revision of the reporting process will be result to know more data for prevention of them. AVICENA, d.o.o., Sarajevo 2015-02 2015-02-21 /pmc/articles/PMC4384853/ /pubmed/25870528 http://dx.doi.org/10.5455/msm.2014.27.31-34 Text en Copyright: © Benyamin Mohseni Saravi, Alireza Mardanshahi, Mansour Ranjbar, Hasan Siamian, Masoud Shayeste Azar, Zolikah Asghari1, Nima Motamed http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Saravi, Benyamin Mohseni
Mardanshahi, Alireza
Ranjbar, Mansour
Siamian, Hasan
Azar, Masoud Shayeste
Asghari, Zolikah
Motamed, Nima
Rate of Medical Errors in Affiliated Hospitals of Mazandaran University of Medical Sciences
title Rate of Medical Errors in Affiliated Hospitals of Mazandaran University of Medical Sciences
title_full Rate of Medical Errors in Affiliated Hospitals of Mazandaran University of Medical Sciences
title_fullStr Rate of Medical Errors in Affiliated Hospitals of Mazandaran University of Medical Sciences
title_full_unstemmed Rate of Medical Errors in Affiliated Hospitals of Mazandaran University of Medical Sciences
title_short Rate of Medical Errors in Affiliated Hospitals of Mazandaran University of Medical Sciences
title_sort rate of medical errors in affiliated hospitals of mazandaran university of medical sciences
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4384853/
https://www.ncbi.nlm.nih.gov/pubmed/25870528
http://dx.doi.org/10.5455/msm.2014.27.31-34
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