Hospital Staff Absenteeism Risk Factors from a Cross-Sectional Study

Ana Carolina Monteiro Duarte authored a cross-sectional study on absenteeism risk factors in a medium-sized philanthropic hospital. The dataset contains survey responses from 123 professionals across care, administrative, and support sectors. Data includes information on work absence, socio-demographics, lifestyle, health status, and working conditions.

Use Cases

• Predicting short-term sickness absenteeism based on individual characteristics and working conditions mentioned in the description
• Analyzing associations between occupational diseases and absenteeism prevalence as described in the study results
• Modeling the impact of physical and psychological job demands on employee health outcomes referenced in the abstract

Strengths

• Data was collected via a structured, self-administered questionnaire covering multiple domains of interest.
• Analysis includes prevalence ratios adjusted by Poisson multivariate regression, suggesting a defined statistical methodology.
• The sample of 123 professionals was randomly selected from three distinct hospital sectors.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Ana Carolina Monteiro Duarte

Collection Method

Cross-sectional study using a self-administered questionnaire.