Evidence map›Paper›PMID 40301825›Full record

SynthesisBMC public health2025

Identification and classification of risk factors for mental health problems in healthcare workers using a systemic framework: an umbrella review.

Payam Khanlari, AhmadAli NoorbalaTafti, Fakhradin Ghasemi, Shahrzad Ghiyasvandian, Kamal Azam, Seyed Abolfazl Zakerian

Abstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Payam KhanlariDepartment of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, District 6, Pour Sina St, Tehran, Iran.
AhmadAli NoorbalaTaftiDepartment of Psychiatry, School of Medicine, Psychosomatic Medicine Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Fakhradin GhasemiDepartment of Health, Safety and Environmental, School of Health, Abadan University of Medical Science, Tehran, Iran.
Shahrzad GhiyasvandianDepartment of Medical-Surgical Nursing, School of Nursing & Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
Kamal AzamDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Seyed Abolfazl ZakerianDepartment of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, District 6, Pour Sina St, Tehran, Iran. zakerian@tums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health problems are high among healthcare workers (HCWs) due to difficult and complex working conditions. This study aims to investigate the prevalence of depression and anxiety through existing meta-analyses and identify risk factors related to these mental health issues at different levels of the work system.

methodsWe conducted an umbrella review with a scoping approach to identify and select studies related to depression and anxiety among HCWs. This study was conducted according to a five-step scoping approach. The search included only studies published before January 2024. The final studies were reviewed and selected using EndNote X9, with information extracted according to specific criteria.

resultsSixty-one studies were included in the final stage and necessary information was extracted from them, 47 articles reported prevalence and risk factors were extracted from 29 articles. Most of the studies were conducted in the context of Covid-19. prevalence of depression varied between 20.5% and 46.2% and for anxiety, it was between 21.9 and 47%. Factors related to depression and anxiety were divided into four levels of the work system, including individual factors, work and unit factors, organizational factors, and external factors.

conclusionsNumerous secondary studies indicate a high prevalence of depression and anxiety among HCWs, especially during the COVID-19 pandemic. This study introduces a framework for systematically identifying mental health problems. Future research is encouraged to utilize this framework to identify risk factors contributing to mental health challenges. It is recommended to use a systemic approach to managing mental health problems.

Indexed as

AnxietyDepressionHealth PersonnelCOVID-19HumansMental DisordersPrevalenceRisk FactorsHealthcare workersMental healthUmbrella reviewWork system

Identifiers

PMID40301825
PMCPMC12039223

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.