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Correlation between medication errors with job satisfaction and fatigue of nurses
BACKGROUND: Medication errors which can cause several medical malfunctions, have been in the spotlight recently. Job satisfaction and fatigue seems to be related to the increase of medication errors in nursing. OBJECTIVE: This study aimed to determine the correlation between the amount and type of m...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Electronic physician
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5614304/ https://www.ncbi.nlm.nih.gov/pubmed/28979754 http://dx.doi.org/10.19082/5142 |
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author | Bolandianbafghi, Shahnaz Salimi, Tahere Rassouli, Maryam Faraji, Reza Sarebanhassanabadi, Mohammadtaghi |
author_facet | Bolandianbafghi, Shahnaz Salimi, Tahere Rassouli, Maryam Faraji, Reza Sarebanhassanabadi, Mohammadtaghi |
author_sort | Bolandianbafghi, Shahnaz |
collection | PubMed |
description | BACKGROUND: Medication errors which can cause several medical malfunctions, have been in the spotlight recently. Job satisfaction and fatigue seems to be related to the increase of medication errors in nursing. OBJECTIVE: This study aimed to determine the correlation between the amount and type of medication errors with job satisfaction and fatigue of nurses working in Shahid Sadoughi hospital in Yazd-Iran. METHODS: This is a descriptive study by a cross-sectional and correlational approach conducted on all the nurses working in an educational hospital who have characteristics of samples. Participants were 170 nurses working in Shahid Sadooghi hospital in Yazd, Iran in 2012. The questionnaires of demographic characteristics, medication administration error and nurses’ job satisfaction and fatigue by purposive sampling were used for gathering data. Validity and reliability were checked for internal consistency and stability. Data were analysed by SPSS version 17 using Pearson correlation coefficient and Independent-samples t-test. RESULTS: The findings did not illustrate a significant relationship between job satisfaction and fatigue with medication errors. Among the demographic characteristics, age of nurses was significantly associated with the frequency of medication errors (p=0.037). However, others were not significantly correlated (p>0.05). CONCLUSION: In spite of the findings, based on no significant statistical relationship between job satisfaction and fatigue with the type and amount of medication errors in nursing, the effect of these variables on medication errors cannot be disregarded; thus further studies in this area are suggested. |
format | Online Article Text |
id | pubmed-5614304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Electronic physician |
record_format | MEDLINE/PubMed |
spelling | pubmed-56143042017-10-04 Correlation between medication errors with job satisfaction and fatigue of nurses Bolandianbafghi, Shahnaz Salimi, Tahere Rassouli, Maryam Faraji, Reza Sarebanhassanabadi, Mohammadtaghi Electron Physician Original Article BACKGROUND: Medication errors which can cause several medical malfunctions, have been in the spotlight recently. Job satisfaction and fatigue seems to be related to the increase of medication errors in nursing. OBJECTIVE: This study aimed to determine the correlation between the amount and type of medication errors with job satisfaction and fatigue of nurses working in Shahid Sadoughi hospital in Yazd-Iran. METHODS: This is a descriptive study by a cross-sectional and correlational approach conducted on all the nurses working in an educational hospital who have characteristics of samples. Participants were 170 nurses working in Shahid Sadooghi hospital in Yazd, Iran in 2012. The questionnaires of demographic characteristics, medication administration error and nurses’ job satisfaction and fatigue by purposive sampling were used for gathering data. Validity and reliability were checked for internal consistency and stability. Data were analysed by SPSS version 17 using Pearson correlation coefficient and Independent-samples t-test. RESULTS: The findings did not illustrate a significant relationship between job satisfaction and fatigue with medication errors. Among the demographic characteristics, age of nurses was significantly associated with the frequency of medication errors (p=0.037). However, others were not significantly correlated (p>0.05). CONCLUSION: In spite of the findings, based on no significant statistical relationship between job satisfaction and fatigue with the type and amount of medication errors in nursing, the effect of these variables on medication errors cannot be disregarded; thus further studies in this area are suggested. Electronic physician 2017-08-01 /pmc/articles/PMC5614304/ /pubmed/28979754 http://dx.doi.org/10.19082/5142 Text en © 2017 The Authors This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Original Article Bolandianbafghi, Shahnaz Salimi, Tahere Rassouli, Maryam Faraji, Reza Sarebanhassanabadi, Mohammadtaghi Correlation between medication errors with job satisfaction and fatigue of nurses |
title | Correlation between medication errors with job satisfaction and fatigue of nurses |
title_full | Correlation between medication errors with job satisfaction and fatigue of nurses |
title_fullStr | Correlation between medication errors with job satisfaction and fatigue of nurses |
title_full_unstemmed | Correlation between medication errors with job satisfaction and fatigue of nurses |
title_short | Correlation between medication errors with job satisfaction and fatigue of nurses |
title_sort | correlation between medication errors with job satisfaction and fatigue of nurses |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5614304/ https://www.ncbi.nlm.nih.gov/pubmed/28979754 http://dx.doi.org/10.19082/5142 |
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