Prevalence of Burnout Among Health Workers in Iran: A Systematic Review and Meta-analysis.
Introduction: Burnout significantly impacts human service professions, reducing the sense of competence and successful performance of duties. This study aimed to investigate the prevalence of job burnout among healthcare workers in Iran. Methods: A systematic search was conducted according to the PR...
| Publicado en: | Journal of Nursing & Midwifery Sciences Vol. 11; no. 2; pp. 1 - 16 |
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| Autores principales: | , , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Brieflands
Jun2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=178350273&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 178350273 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23455756 HC3X jtl: Journal of Nursing & Midwifery Sciences issn: 23455756 maglogo: N pubinfo: dt: Jun2024 vid: 11 iid: 2 pid: 69510 pub: Brieflands place: , <Blank> artinfo: ui: 178350273 178350273 178350273 10.5812/jnms-144750 178350273 ppf: 1 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Prevalence of Burnout Among Health Workers in Iran: A Systematic Review and Meta-analysis. aug: au: Babakhanian, Masoudeh kouhikheili, Maryam Qasemi Mojarad, Fereshteh Araghian Talebian, Fatemeh Yaghoubi, Tahereh affil: Social Determinants Of Health Research Center, Semnan University Of Medical Sciences, Semnan, Iran sug: subj: Burnout, Professional Epidemiology Personnel, Health Facility Psychosocial Factors Human Iran Systematic Review Meta Analysis PubMed Psycinfo Data Analysis Software Confidence Intervals Descriptive Statistics Support, Psychosocial Health Services Accessibility Self Care ab: Introduction: Burnout significantly impacts human service professions, reducing the sense of competence and successful performance of duties. This study aimed to investigate the prevalence of job burnout among healthcare workers in Iran. Methods: A systematic search was conducted according to the PRISMA checklist in databases such as PubMed, Scopus, Web of Science, PsycINFO, Magiran, Scientific Information Database (SID), and IranDoc from the inception of each database until December 30, 2023. Studies that used the Maslach burnout inventory to investigate the prevalence of burnout in health workers and had an observational design (including cross-sectional studies) were included. The selection of relevant studies was performed independently by two researchers at all stages of study selection, including screening, full-text review, and qualitative evaluation using the modified version of the HOY tool. Data implementation was done in Excel, and data analysis was conducted using STATA version 12. Results: A total of 63 articles were included. About 62.2% of the studies had a low risk of bias. A meta-analysis was performed using the random-effects method to calculate the prevalence of job burnout, and the average score of burnout was calculated as ES: [95% Conf interval = 0.38 (0.30 - 0.46)]. The degree of heterogeneity was reported as I2 = 99.66%, which is significant (P = 0.000), indicating high heterogeneity among the studies. Subgroup analysis was conducted to reduce heterogeneity. The results showed that the average burnout score increases with the sample size increase in the study, which is statistically significant (P < 0.001). Conclusions: To minimize burnout, it is suggested that supportive approaches, including access to psychosocial support, web-based services, psychological first aid, psychological support hotlines, and self-care techniques, be considered for healthcare workers during their service years. pubtype: Academic Journal doctype: meta analysis research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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