Predictors of Return to Work in Occupational Injured Workers

Won Mee Jeong; Chung Yill Park; Jung Wan Koo; Young man Roh

doi:10.35371/kjoem.2003.15.2.119

Articles

Page Path: HOME > Ann Occup Environ Med > Volume 15(2); 2003 > Article

Original Article Predictors of Return to Work in Occupational Injured Workers: Won Mee Jeong, Chung Yill Park, Jung Wan Koo, Young man Roh; Korean Journal of Occupational and Environmental Medicine (대한직업환경의학회지) 2003;15(2):119.
DOI: https://doi.org/10.35371/kjoem.2003.15.2.119
Published online: June 30, 2003

¹Department of Occupational Therapy, Dongnam Health college, Korea.

²Department of Preventive Medicine, Industrial Medical Center, The Catholic University of Korea. cypark@catholic.ac.kr

547 Views
4 Download
9 Crossref
0 Scopus

prev next

Full Article

Download PDF

Abstract

OBJECTIVES
In order to obtain information useful in setting up occupational rehabilitation programs, an evaluation was conducted to determine predictive factors of workers' return to work after an occupational injury.
METHODS
13, 903 records of registered occupationally injured cases identified to have received disability compensation in 1998 were collected from the 36 branch of Korean Labor Welfare Corporation(KLWC). Through simple systematic sampling, a total of 3, 658 cases were selected as final subjects. Status of return to work, general characteristics, workplace characteristics, disability characteristics and disability outcome characteristics were collected from the KLWC and National Health Insurance Corporation records(NHIC). For statistical analyses, chi-square test and stepwise multiple logistic regression analysis were applied using the SAS software package program.
RESULTS
Negatively affecting significant predictive factors for return to work were included the female gender, age of 50 years or older, 6 month or less of work duration, 1 or less family dependents, workplace with 200 or less employees, electric, gas, waterwork companies, foot injuries compared to finger injuries, fall from elevation, high degree of disability claims(1~4 grade), and period of medical care more than 181 days.
CONCLUSIONS
The results suggest that the poor rate return to work in occupationally injured workers' is particularly affected by female gender, older-aged employees, and workers employed by electric, gas, waterwork companies. Also, it was more difficult to return to work for workers who received injuries from a fall from elevation and who had longer period of medical care(more than 181days). It is strongly recommended that more efficient and systematic occupational rehabilitation programs be set up, taking into consideration the above mentioned factors.

Keywords: Return to work;Occupationally injured workers;Predictive factor

Figure & Data

References

Citations

Citations to this article as recorded by

A comprehensive survey on machine learning for workplace injury analysis: risk prediction, return to work strategies, and demographic insights
Gonzalo A. Vivian, Richard A. Bauder, Taghi M. Khoshgoftaar
Journal of Big Data.2025;[Epub] CrossRef
Relationship between workers’ return to work, job retention and income in industrial accidents in Korea: a longitudinal study
Suk Won Bae, Inchul Jeong, Jin-Ha Yoon, Seung Wook Lee, Tae Hyun Kim, Jong-Uk Won
BMJ Open.2021; 11(4): e039948. CrossRef
Pre-injury job characteristics and return to work among injured workers in South Korea: differences by socio-demographic and injury-related characteristics
Soo Kyung Park, Chung Kwon Lee
Disability and Rehabilitation.2019; 41(6): 691. CrossRef
Factors Related to Job Performance of Female Patients with Workplace Injuries by using ICF Model
Min-Jae Lee, Hwan Kim
Journal of The Korean Society of Physical Medicine.2018; 13(2): 21. CrossRef
Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques
Jongin Lee, Hyoung-Ryoul Kim
Journal of Korean Medical Science.2018;[Epub] CrossRef
The effects of individual, occupational, and supportive factors on successful return to work using a structural equation model
Jongin Lee, Min Choi, Sung Hye Park, Hyoung-Ryoul Kim, Hye-Eun Lee
Annals of Occupational and Environmental Medicine.2015;[Epub] CrossRef
Factors related to the physician and the employer influencing successful return to work in Korea: results from the first panel study of workers’ compensation insurance (PSWCI)
Wanhyung Lee, Jin-Ha Yoon, Jaehoon Roh, Yeong-Kwang Kim, Hongdeok Seok, June-Hee Lee, Jong-Uk Won
Annals of Occupational and Environmental Medicine.2015;[Epub] CrossRef
Study of the Factors Related to the Labor Market Transition of Job Injured Workers
Hwa-Sook Bae
Journal of the Korea Academia-Industrial cooperation Society.2014; 15(12): 7093. CrossRef
Current Situation and Issue of Industrial Accident Compensation Insurance
Inah Kim, Jeongbae Rhie, Jo-Duk Yoon, Jinsoo Kim, Jonguk Won
Journal of Korean Medical Science.2012; 27(Suppl): S47. CrossRef

Cite