ArticleBMC health services research2026
Mental health profiles and job satisfaction among healthcare workers in an Italian Local Health Authority (ASL 1 Abruzzo): a cross-sectional Person-centered cluster analysis.
Article in BMC health services research, 2026. 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
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.
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.
Who cites it
1 citing paper in PubMed.
- Digital Phenotyping of Anxiety-Depression Comorbidity in Tele-Mental Health: Severity Coupling and Resource-Use Signatures in a Real-World Cohort.Medical sciences (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealthcare workers are exposed to sustained occupational stressors that may lead to heterogeneous patterns of psychological distress and resilience, with potential implications for job satisfaction. Person-centered approaches may help identify subgroups with distinct mental health profiles.
methodsWe conducted a cross-sectional survey between December 2024 and March 2025 among healthcare workers employed in a single Italian Local Health Authority (ASL 1 Abruzzo). Participants completed measures of anxiety (GAD-7), depressive symptoms (PHQ-9), insomnia (ISI), resilience (RSA-11), perceived stress (PSS-10), and job satisfaction (JSS). K-means clustering on standardized mental health measures was used to identify profiles; the optimal number of clusters was selected using multiple internal validation indices (Gap statistic, average silhouette width, elbow method, and NbClust majority rule). Clusters were compared on sociodemographic variables and job satisfaction using non-parametric tests and chi-square tests.
resultsOf 383 respondents, five were excluded (n = 2 for invalid response patterns, n = 3 for incomplete data), yielding N = 378. A two-cluster solution emerged. Cluster 1 (n = 145) showed higher psychological distress and perceived stress and lower resilience; Cluster 2 (n = 233) showed lower anxiety, depressive symptoms, insomnia and perceived stress, alongside higher resilience. Job satisfaction was significantly higher in Cluster 2 than Cluster 1 (Wilcoxon W = 21521, p < 0.001, r = 0.23). Cluster membership also differed by gender and work site.
conclusionsTwo distinct mental health profiles were identified within a single health authority, highlighting a subgroup characterized by high distress, low resilience and lower job satisfaction. Targeted psychosocial and organizational interventions may be warranted to support this vulnerable group and sustain workforce wellbeing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.