Ontology highlight
ABSTRACT:
SUBMITTER: Khammar A
PROVIDER: S-EPMC6169446 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature
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]