Prediction Model for Job Retention According to the Type of Return to Work Among Industrially Injured Workers in Korea

J Occup Environ Med. 2023 Jan 1;65(1):e16-e20. doi: 10.1097/JOM.0000000000002737. Epub 2022 Nov 4.

Abstract

Objectives: This study aimed to investigate how the type of return to work after an industrial accident affects job retention.

Methods: Using data from the panel study of workers' compensation insurance first-third, and hazard ratios (HRs) and 95% confidence intervals were calculated for workers leaving their jobs.

Results: The HR leaving their jobs were higher in the "reemployed" compared with that in the "returned to original work," with HR of 2.69 (2.33-3.10). According workers' status, the HRs leaving their jobs were higher among the "reemployed" than among those who "returned to original work." Regular and daily workers' HRs were 1.70 (1.37-2.11) and 3.55 (2.96-4.26), respectively.

Conclusions: The findings suggest that to increase job retention rate, protection policies for reemployed workers or support for employers who hire reemployed workers should be considered.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidents, Occupational*
  • Humans
  • Proportional Hazards Models
  • Republic of Korea
  • Return to Work*
  • Workers' Compensation