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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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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 |
_version_ | 1783360522325852160 |
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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. |
format | Online Article Text |
id | pubmed-6169446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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