Evidence map›Paper›PMID 41323606›Full record

ArticleFrontiers in public health2025

Navigating the labyrinth of healthcare workers' mental health.

Hai-Long Zhang, Qin-Yuan Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Hai-Long Zhang *Shuyang Hospital of Traditional Chinese Medicine, Shuyang, Jiangsu, China.
Qin-Yuan Zhang *Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of mental health issues such as burnout, anxiety, and depression, and the negative impact on both healthcare workers and the healthcare system are notably high. Here, we introduced a dynamic model of mental health that includes stress, coping mechanisms, and resilience, and incorporates individual, organizational, and socio-cultural factors. It emphasized the importance of addressing moral dilemmas, high workloads, and systemic deficiencies that contributed to mental health risks. Additionally, innovative tools like AI-based predictive models were used to identify at-risk individuals early. In a word, special attention was called for comprehensive support systems, national policies, and cross-cultural research to improve healthcare workers' mental wellbeing. Ultimately, we stressed the need for systemic reforms and individualized interventions to safeguard the mental health of healthcare workers and ensure better patient care. This article highlighted the global mental health challenges faced by healthcare workers, especially in the context of the COVID-19 pandemic and other health crises.

Indexed as

COVID-19Health PersonnelMental HealthAdaptation, PsychologicalBurnout, ProfessionalHumansSARS-CoV-2anxietydepressionhealthcare workersmental healthstress-coping-accumulation-imbalance

Identifiers

PMID41323606
PMCPMC12660093

What OpenQuestion holds

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LicenceCC BY
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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.