This page was translated automatically from Turkish. Read the original

This page is an AI-assisted Turkish summary of the study presented at the 26th World Congress of Psychiatry. The study belongs to the presenting authors; please refer to the original source when citing it.

EV1007

Mental disorders and absenteeism: an analysis of predictors and duration at a Brazilian tertiary public hospital

MENTAL DISORDERS AND WORKPLACE ABSENCE: AN ANALYSIS OF PREDICTORS AND DURATION IN A BRAZILIAN TERTIARY PUBLIC HOSPITAL

Absences due to mental disorders among healthcare workers accounted for 11.0% of all leave episodes, lasted substantially longer than those due to other medical causes, and were most strongly predicted by transition to long-term social security benefits.

The aim was to identify the sociodemographic and occupational predictors of absenteeism due to mental and behavioral disorders (ICD-10: F00-F99) at a public university hospital in Brazil and to examine the duration of these absences. The study used a retrospective, quantitative, documentary design and was conducted at the Occupational Health and Safety Unit of HC-UFPE (Recife). Of 3,851 absence records from 2022-2025, 1,562 healthcare worker leave records were analyzed after exclusions (medical certificates covering fewer than 2 days and employees not covered by the CLT employment regime; n=2,289). Chi-square tests were used for categorical associations, the Mann-Whitney U test for duration comparisons, and binary logistic regression for independent predictors (p < 0.05). Mental disorders accounted for 11.0% (n=172) of absences, while the remaining 89% (n=1,390) were attributed to other ICD-10 diagnoses. Leave due to mental disorders lasted a median of 14 days (IQR: 7-15), compared with 4 days (IQR: 3-7) for other medical conditions (p < 0.001). The strongest predictor was transition to long-term social security benefits (Auxilio-Doenca INSS, longer than 15 days), which increased the odds of a mental disorder diagnosis 6.5-fold (adjusted odds ratio, AOR = 6.497; 95% CI: 4.186-10.083; p < 0.001). Administrative and support staff showed greater vulnerability than technical-level (AOR = 0.449; 95% CI: 0.249-0.809) and higher-level (AOR = 0.506; 95% CI: 0.284-0.902) clinical staff (p < 0.05), while sex was not a significant predictor (AOR = 0.973; 95% CI: 0.626-1.512; p = 0.903). The authors conclude that absenteeism due to mental disorders in the hospital setting is characterized by marked chronicity and a strong association with long-term disability, highlighting the need for inclusive, hospital-wide mental health policies that specifically encompass administrative and support staff, as well as early psychiatric screening.

All WCP 2026 summaries