Demographic, psychometric, and case progression information as predictors of return-to-work in teachers undergoing occupational rehabilitation.

Occupational stress is a significant problem and is of particular concern for educational organizations. It was the aim of the current project to identify variables that could predict return-to-work outcomes in a group of teachers who had taken leave for a work-related stress condition. Demographic, psychometric, and case progression data were collected for 119 teachers who had taken Workers' Compensation Leave and were participating in a rehabilitation program. The participants' return to work outcomes were followed-up at least 12 months after they initially left their workplace. Hierarchical discriminant function analysis indicated that 84.62% of the cases could be correctly classified as either "returning to work" or "not returning to work due to illness." The main predictor variables were: if the individual had attempted to return to work within 505 days of injury, the individual's health behaviors, the sex of the individual, and the type of school in which he or she was employed (primary or secondary). It is suggested that the derived model could be further developed and used to predict return to work from stress-related illnesses.