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Statistical Analysis of Absenteeism in a University Hospital Center between 2007 and 2019
Charlène Millot1, Bruno Pereira2, Sophie Miallaret3,4
1Occupational and Environmental Medicine, CHU Clermont-Ferrand, F-63000 Clermont-Ferrand, France.
Hospital absenteeism is rising, with a nearly twofold increase observed between 2007 and 2019. Paramedical staff face the highest risk, highlighting the need for targeted preventive measures to address employee absence.
Area of Science:
- Occupational Health
- Hospital Management
- Public Health
Background:
- Absenteeism poses a significant challenge in healthcare settings, impacting operational efficiency and patient care.
- Understanding the trends and influencing factors of employee absenteeism is crucial for developing effective workplace strategies.
Purpose of the Study:
- To analyze the evolution of compressible absenteeism in a hospital setting over a 12-year period.
- To identify key professional and sociodemographic factors associated with increased employee absence.
Main Methods:
- A longitudinal study analyzing occupational health data from 16,413 hospital employees (2007-2019).
- Statistical analysis included non-parametric tests and a zero-inflated negative binomial (ZINB) model due to non-normal data distribution.
- Compressible absences and associated occupational/sociodemographic factors were examined.
Main Results:
- Compressible absences accounted for 73.6% of total absences, with 42% of employees absent at least annually.
- Absenteeism days increased by a factor of 1.9 overall (2007-2019), with significant rises for administrative staff (2.4x) and those over 50 (2.1x).
- Paramedical staff exhibited the highest risk of absence (p < 0.001), followed by administrative staff, women, employees living further from work, and those with children.
Conclusions:
- Paramedical personnel are identified as the highest-risk group for absenteeism.
- Absenteeism shows a steady increase, particularly pronounced among administrative staff.
- An employee profile at risk includes being tenured, living distant from work, female, over 50, separated, and having children, necessitating personalized preventive strategies.
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