Return-to-Work Self-Efficacy and Actual Return to Work Among Long-Term Sick-Listed Employees

J Occup Rehabil. 2015 Jun;25(2):423-31. doi: 10.1007/s10926-014-9552-3.

Abstract

Objective: Considering the costs incurred by sickness absence and the implications for the workers' quality of life, a fast return to work (RTW) is important. Self-efficacy (SE) seems to be an important predictor of RTW for employees with mental health problems. The predictive value of return-to-work self-efficacy (RTW-SE) has not been examined in employees on long-term sickness absence due to any cause. The aim of this study is to investigate whether RTW-SE is a predictor of time to RTW in long-term sick-listed employees with all-cause sickness absence. Furthermore, the relative contribution of RTW-SE in predicting RTW will be examined compared to health-related, job-related and personal factors.

Methods: In a longitudinal study, sick-listed employees who were currently on sick leave for more than 4 weeks filled out a self-report questionnaire. Demographics, health-related, personal, and job-related factors, and RTW-SE were measured. Employees were followed for 2 years to determine the duration until full RTW. Cox proportional hazards regression analyses were used to identify factors associated with time to RTW.

Results: Data were collected from 493 sick-listed employees. RTW-SE was a significant predictor of RTW. In a multivariate model, low RTW-SE, the thought of not being able to work while having symptoms (illness behaviour) and having chronic medical conditions were predictors of a longer duration until RTW.

Conclusion: When guiding long-term sick-listed employees, it is important to focus on factors such as SE and illness behaviour, instead of just focusing on the symptoms of the sick-listed employee.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Absenteeism
  • Adult
  • Age Factors
  • Employment / statistics & numerical data
  • Female
  • Humans
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Netherlands
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Prospective Studies
  • Quality of Life*
  • Regression Analysis
  • Return to Work / statistics & numerical data*
  • Self Efficacy*
  • Sex Factors
  • Sick Leave / statistics & numerical data*
  • Sickness Impact Profile*
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Time Factors