SynthesisBMJ open2025
Post-COVID-19 depression prevalence in Iranian nurses: a systematic review and meta-analysis.
Synthesis in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis systematic review and meta-analysis aimed to assess the pooled prevalence of post-COVID-19 depression among Iranian nurses, identify at-risk groups and provide practical recommendations for intervention.
designIn adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we conducted a systematic review and meta-analysis, encompassing studies published from 2019 to 2024. Comprehensive searches were performed across international and Iranian databases. DATA SOURCES: PubMed, Scopus, Web of Science, Google Scholar and Scientific Information Database. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Studies meeting the following criteria were included in the analysis: (1) conducted on the population of Iranian nurses, (2) keywords explicitly included in the title or abstract, (3) studies published between 2019 and 2024, (4) published in Persian or English and (5) reported the prevalence of depression either in the entire population or differentiated by gender. DATA EXTRACTION AND SYNTHESIS: Data extraction was conducted independently by two reviewers, and quality assessment was performed using the Newcastle-Ottawa Scale. Statistical analyses were executed using random effects models to estimate pooled prevalence rates, with subgroup analyses and sensitivity tests conducted to explore sources of heterogeneity and confirm result robustness.
resultsA total of 22 studies met the inclusion criteria, capturing data from various provinces across Iran. The pooled prevalence of depression among Iranian nurses post-COVID-19 was estimated at 23% (95% CI 19% to 30%), indicating a substantial mental health burden within this population. Subgroup analyses revealed notable disparities in depression rates across demographic and professional characteristics. Nurses holding advanced degrees exhibited a higher mean depression score (13.33, 95% CI 9.48 to 16.74) compared with those with bachelor's degrees. Male nurses also reported slightly higher depression scores (12.04, 95% CI 7.58 to 16.50) than their female counterparts. Furthermore, moderate depression emerged as the most common severity level, affecting 24% of nurses. Sensitivity analyses demonstrated that no single study disproportionately influenced the pooled estimates, reinforcing the reliability of the findings.
conclusionsThis review and meta-analysis illuminate the mental health challenges faced by Iranian nurses in the wake of COVID-19. With a significant proportion of nurses experiencing depression, addressing their psychological needs is imperative. Tailored interventions, such as stress management workshops, access to professional counselling and workplace policies that prioritise mental health, are essential to enhance resilience and sustain healthcare quality during future public health crises. Efforts must also focus on structural changes to create a supportive environment that fosters well-being and professional satisfaction among nurses, ultimately improving patient outcomes and overall healthcare system performance.
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