Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Khammar A

PROVIDER: S-EPMC6169446 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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

Khammar Alireza A Dalvand Sahar S Hashemian Amir Hossein AH Poursadeghiyan Mohsen M Yarmohammadi Soudabeh S Babakhani Jalal J Yarmohammadi Hamed H

Data in brief 20180911

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 confid ...[more]

PMID: 30294624

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Project description:Although burnout in paediatric nurses has been addressed in previous research, the heterogeneous nature of the results obtained and of the variables studied highlights the need for a detailed analysis of the literature.The aim of this study was to analyse the literature on burnout characteristics, reported prevalence, severity and risk factors, to achieve a better understanding of the risk of emotional exhaustion, depersonalisation and feelings of low personal accomplishment.For this purpose, we carried out a systematic review and meta-analysis of the literature. The databases consulted were CINAHL, LILACS, PubMed, the Proquest Platform (Proquest Health & Medical Complete), Scielo and Scopus. This study used the search equation "burnout AND "pediatric nurs*"", and was conducted in July 2017.The search produced 34 studies targeting burnout in paediatric nurses, with no restrictions on the date of publication. Many of these studies detected moderate-high values for the three dimensions of burnout, and highlighted sociodemographic, psychological and job-related variables associated with this syndrome. The sample population for the meta-analysis was composed of 1600 paediatric nurses. The following prevalence values were obtained: (i) emotional exhaustion, 31% (95% CI: 25-37%); (ii) depersonalisation, 21% (95% CI: 11-33%); (iii) low personal accomplishment, 39% (95% CI: 28-50%).A significant number of paediatric nurses were found to have moderate-high levels of emotional exhaustion and depersonalisation, and low levels of personal accomplishment. These nurses, therefore, were either experiencing burnout or at high risk of suffering it in the future. These results support the need for further study of the risk factors for burnout in paediatric nurses. They also highlight the importance of developing interventions or therapies to help prevent or attenuate the above symptoms, thus helping nurses cope with the workplace environment and with situations that may lead to burnout.

Project description:AbstractThis meta-analysis aimed to estimate the prevalence of burnout among medical students in China.A systematic search from the following electronic databases: China National Knowledge Infrastructure, Wangfang database, VIP database, Chinese biomedical literature database, PubMed, Embase, Web of Science, and Google Scholar was independently conducted by 2 reviewers from inception to September 2019. The data were analyzed using stata software Version 11. Heterogeneity was assessed using I2 tests, and publication bias was evaluated using funnel plots and Egger's test. The source of heterogeneity among subgroups was determined by subgroup analysis of different parameters.A total of 48 articles with a sample size of 29,020 met the inclusion criteria. The aggregate prevalence of learning burnout was 45.9% (95% confidence interval [CI] = 38.1%-53.8%). The prevalence rate of high emotional exhaustion was 37.5% (95% CI: 21.4%-53.7%). The percentage was 44.0% (95% CI: 29.2%-58.8%) for low personal accomplishment. The prevalence rate was 36.0% (95% CI: 23.0%-48.9%) in depersonalization dimension. In the subgroup analysis by specialty, the prevalence of burnout was 30.3% (95% CI: 28.6%-32.0%) for clinical medicine and 43.8% (95% CI: 41.8%-45.8%) for other medical specialties. The total prevalence of burnout between men and women was 46.4% (95% CI: 44.8%-47.9%) and 46.6% (95% CI: 45.5%-47.6%), respectively. The prevalence of burnout with Rong Lian's scale was 43.7% (42.1%-45.2%), and that with the other scales was 51.4% (50.4%-52.4%). The prevalence rates were 62.9% (61.3%-64.6%), 58.7% (56.3%-61.1%), 46.5% (42.9%-50.2%), and 56.0% (51.6%-60.4%) from Grades 1 to 4, respectively. There was a statistically significant difference among the different grades (P = .000).Our findings suggest a high prevalence of burnout among medical students. Society, universities, and families should take appropriate measures and allot more care to prevent burnout among medical students.

Dataset Information

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

Publications

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

Similar Datasets

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