Observational studyBMC health services research2025
Work restrictions among healthcare providers in a northern Italian public academic hospital: an observational study.
Observational study in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Planning for an aging nursing workforce: data-driven implications for health policy and service sustainability in Italy.Frontiers in health services · 2026Article
- Quiet Quitting Among Nurses: A Case Study in a Northern Italian Hospital.Nursing reports (Pavia, Italy) · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundReduced work capacity in public hospitals has organizational repercussions, given the aging population, the shortage of healthcare workers, and the greater demand for healthcare services. In this study, we analysed the characteristics of staff assessed as "fit with restrictions" at a public academic hospital in northern Italy. We also aimed to identify individual and work-related variables that may be associated with the probability and timing of being "fit with restrictions".
methodsIn this single-center observational study, sociodemographic data from staff employed in the Department of Healthcare Professions at our institution were analyzed using logistic regression to assess any associations between staff characteristics and the probability of being "fit with restrictions". Additionally, a multivariable Cox proportional hazard model was fitted to investigate the potential association between staff characteristics and the timing of their first assessment as "fit with restrictions".
resultsThe study population was 2251 employees of which 18.4% (415/2251) were "fit with restrictions"; 56.1% (233/415) of nursing staff had at least one restriction, whereas 72.3% (300/415) of staff with restrictions had a permanent restriction. Sex was not associated with the probability of being "fit with restrictions" (odds ratio [OR] 0.75, 95%CI: 0.55 to 1.03). However, the probability was 22.9% lower (95%CI: 14.1% to 31.8%) for rehabilitation and technical healthcare staff compared to that of nurses and midwives. The Cox model showed an increase in the hazards of being "fit with restrictions" by a factor of 1.30 (95%CI: 1.02-1.68) for females.
conclusionsA significant proportion of nursing staff face mobility and posture restrictions, with older hires and greater seniority associated with higher probabilities of restrictions. These findings underscore the importance of addressing aging and workplace conditions in the public healthcare sector, particularly considering differences across job profiles and sex.
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