Statistical Analysis of Absenteeism in a University Hospital Center between 2007 and 2019.

ABSTRACT:

Objectives

To estimate the evolution of compressible absenteeism in a hospital center and identify the professional and sociodemographic factors that influence absenteeism.

Method

All hospital center employees have been included over a period of twelve consecutive years (2007 to 2019). Compressible absences and occupational and sociodemographic factors were analyzed using Occupational Health data. Since the distribution of the data did not follow a normal distribution, the number of days of absence was presented as a median (interquartile range (IQR): 1st quartile-3rd quartile), and comparisons were made using non-parametric tests followed by a negative binomial model with zero inflation (ZINB).

Results

A total of 16,413 employees were included, for a total of 2,828,5

SUBMITTER: Millot C 

PROVIDER: S-EPMC9565198 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature