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Data for the prevalence of nurses׳ burnout in Iran (a meta-analysis dataset)

The present dataset was carried out using meta-analysis method towards investigation of the prevalence of nurses׳ burnout in Iran. To this end, the keywords were searched in the Iranian databases such as Medlib, SID, Iranmedex, Magiran or even some international databases such as Cochrane, Science-D...

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Autores principales: Khammar, Alireza, Dalvand, Sahar, Hashemian, Amir Hossein, Poursadeghiyan, Mohsen, Yarmohammadi, Soudabeh, Babakhani, Jalal, Yarmohammadi, Hamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6169446/
https://www.ncbi.nlm.nih.gov/pubmed/30294624
http://dx.doi.org/10.1016/j.dib.2018.09.022
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author Khammar, Alireza
Dalvand, Sahar
Hashemian, Amir Hossein
Poursadeghiyan, Mohsen
Yarmohammadi, Soudabeh
Babakhani, Jalal
Yarmohammadi, Hamed
author_facet Khammar, Alireza
Dalvand, Sahar
Hashemian, Amir Hossein
Poursadeghiyan, Mohsen
Yarmohammadi, Soudabeh
Babakhani, Jalal
Yarmohammadi, Hamed
author_sort Khammar, Alireza
collection PubMed
description The present dataset was carried out using meta-analysis method towards investigation of the prevalence of nurses׳ burnout in Iran. To this end, the keywords were searched in the Iranian databases such as Medlib, SID, Iranmedex, Magiran or even some international databases such as Cochrane, Science-Direct, Scopus, PubMed, and Google Scholar. The data were analysed using the STATA Software Version 12. In ten articles with a sample size of 1758 subjects, an average age of 30.73 (54%) and the confidence interval of 43–64, the prevalence of burnout was reported. The obtained data indicated that Fars and Zanjan Provinces had the highest and lowest rates of burnout (72% and 26%, respectively). According to the acquired data, the total prevalence of burnout among men and women measured 46% and 65%, respectively. Given the high prevalence of burnout among the Iranian nurses in this dataset and the importance of nursing in public health which requires highly motivated and committed nurses with high job satisfaction, it is recommended that the intensity of burnout be reduced through supervising the nurses׳ professional performance, supporting, paying attention to their problems, following up and providing the necessary strategies to improve their environmental, economic, and personal conditions.
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spelling pubmed-61694462018-10-05 Data for the prevalence of nurses׳ burnout in Iran (a meta-analysis dataset) Khammar, Alireza Dalvand, Sahar Hashemian, Amir Hossein Poursadeghiyan, Mohsen Yarmohammadi, Soudabeh Babakhani, Jalal Yarmohammadi, Hamed Data Brief Nursing and Health Profession The present dataset was carried out using meta-analysis method towards investigation of the prevalence of nurses׳ burnout in Iran. To this end, the keywords were searched in the Iranian databases such as Medlib, SID, Iranmedex, Magiran or even some international databases such as Cochrane, Science-Direct, Scopus, PubMed, and Google Scholar. The data were analysed using the STATA Software Version 12. In ten articles with a sample size of 1758 subjects, an average age of 30.73 (54%) and the confidence interval of 43–64, the prevalence of burnout was reported. The obtained data indicated that Fars and Zanjan Provinces had the highest and lowest rates of burnout (72% and 26%, respectively). According to the acquired data, the total prevalence of burnout among men and women measured 46% and 65%, respectively. Given the high prevalence of burnout among the Iranian nurses in this dataset and the importance of nursing in public health which requires highly motivated and committed nurses with high job satisfaction, it is recommended that the intensity of burnout be reduced through supervising the nurses׳ professional performance, supporting, paying attention to their problems, following up and providing the necessary strategies to improve their environmental, economic, and personal conditions. Elsevier 2018-09-11 /pmc/articles/PMC6169446/ /pubmed/30294624 http://dx.doi.org/10.1016/j.dib.2018.09.022 Text en © 2018 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Nursing and Health Profession
Khammar, Alireza
Dalvand, Sahar
Hashemian, Amir Hossein
Poursadeghiyan, Mohsen
Yarmohammadi, Soudabeh
Babakhani, Jalal
Yarmohammadi, Hamed
Data for the prevalence of nurses׳ burnout in Iran (a meta-analysis dataset)
title Data for the prevalence of nurses׳ burnout in Iran (a meta-analysis dataset)
title_full Data for the prevalence of nurses׳ burnout in Iran (a meta-analysis dataset)
title_fullStr Data for the prevalence of nurses׳ burnout in Iran (a meta-analysis dataset)
title_full_unstemmed Data for the prevalence of nurses׳ burnout in Iran (a meta-analysis dataset)
title_short Data for the prevalence of nurses׳ burnout in Iran (a meta-analysis dataset)
title_sort data for the prevalence of nurses׳ burnout in iran (a meta-analysis dataset)
topic Nursing and Health Profession
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6169446/
https://www.ncbi.nlm.nih.gov/pubmed/30294624
http://dx.doi.org/10.1016/j.dib.2018.09.022
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