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

BACKGROUND: Healthcare 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. METHODS: We 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. RESULTS: Of 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. CONCLUSIONS: Two 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.

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Publication Details

Journal
BMC Health Services Research
Published
2026-04-23
DOI
https://doi.org/10.1186/s12913-026-14607-x
Primary Topic
Healthcare professionals’ stress and burnout
Type
article
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article

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

Francesca Pacitti, Valentina Socci, Tommaso Barlattani, Edoardo Trebbi et al.
BMC Health Services Research
Healthcare professionals’ stress and burnout
article

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

Francesca Pacitti, Valentina Socci, Tommaso Barlattani, Edoardo Trebbi, Ferdinando Romano, Antony Bologna, Eleonora Sapone, Alessandro Rossi
article en

Abstract

BACKGROUND: Healthcare 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. METHODS: We 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. RESULTS: Of 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. CONCLUSIONS: Two 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.

BMC Health Services Research
University of L'Aquila (IT), Sapienza University of Rome (IT)
Gender equality
Openalex Percentile: Top 6%
Healthcare professionals’ stress and burnout
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