Evidence map›Paper›PMID 42879071›Full record

ArticleInsights into imaging2026

Burnout and psychosocial working conditions in a multidisciplinary hospital radiology team: a cross-sectional study using the job demands-resources framework.

Thomas Dertnig, Patrick Kutschar, Hans-Peter Wiesinger

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Article in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

Thomas DertnigInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany. Thomas.Dertnig@uk-essen.de.ORCID http://orcid.org/0009-0009-1362-5740
Patrick KutscharInstitute of Nursing Science and Practice, Center for Public Health and Healthcare Research, Paracelsus Medical Private University, Salzburg, Austria.
Hans-Peter WiesingerInstitute of Nursing Science and Practice, Center for Public Health and Healthcare Research, Paracelsus Medical Private University, Salzburg, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBurnout is a major concern in hospital radiology, but data on psychosocial work conditions remain limited. Using the job demands-resources (JD-R) framework, this study examined burnout and its associations with psychosocial work factors across professional groups in a German university hospital radiology department. MATERIALS AND

methodsAn exploratory cross-sectional survey was conducted among radiologists and non-physician staff. Burnout was measured using the Copenhagen Burnout Inventory (CBI); psychosocial work conditions were assessed with COPSOQ III. Descriptive analyses, correlations, and hierarchical linear regressions were performed to evaluate associations between job demands, job resources, and burnout dimensions (personal, work-related, and patient-related burnout).

resultsSixty-three participants (≤ 28 to ≥ 61 years; 37 women) were included. Personal and work-related burnout exceeded patient-related burnout. Non-physician staff reported higher personal burnout than radiologists. Job demands strongly correlated with personal (r = 0.686) and work-related burnout (r = 0.748), whereas associations with resources were weaker. In regression analyses, job demands were strongly associated with personal (R² = 0.62) and work-related burnout (R² = 0.60), without significant incremental resource effects. For patient-related burnout, job resources demonstrated an independent inverse association (total R² = 0.30). Higher burnout was associated with lower job satisfaction and greater sickness absence.

conclusionIn this exploratory single-centre study, burnout in hospital radiology was primarily associated with psychosocial job demands, particularly work-life conflict, workload, and role conflicts, whereas job resources showed weaker associations except for patient-related burnout. These findings suggest a predominantly demand-driven pattern within the JD-R framework and indicate that psychosocial working conditions may represent targets for intervention. KEY POINTS: Question Which psychosocial job demands and resources show the strongest associations with burnout among radiology staff in a university hospital department? Findings Work-life conflict, quantitative demands, and role conflicts showed the strongest associations with personal and work-related burnout among radiology staff. Critical relevance statement Burnout in hospital radiology was predominantly associated with organisational stressors, highlighting the relevance of psychosocial working conditions for organisational monitoring and intervention planning.

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AbsenteeismBurnoutJob demands–resources modelOccupational healthRadiology

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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.