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Prediction Model for Job Retention According to the Type of Return to Work Among Industrially Injured Workers in Korea
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 th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835659/ https://www.ncbi.nlm.nih.gov/pubmed/36344990 http://dx.doi.org/10.1097/JOM.0000000000002737 |
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author | Bae, Suk Won Won, Jong-Uk Park, Wha Me |
author_facet | Bae, Suk Won Won, Jong-Uk Park, Wha Me |
author_sort | Bae, Suk Won |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9835659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-98356592023-01-19 Prediction Model for Job Retention According to the Type of Return to Work Among Industrially Injured Workers in Korea Bae, Suk Won Won, Jong-Uk Park, Wha Me J Occup Environ Med Online-Only: Original Articles 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. Lippincott Williams & Wilkins 2023-01 2022-11-04 /pmc/articles/PMC9835659/ /pubmed/36344990 http://dx.doi.org/10.1097/JOM.0000000000002737 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American College of Occupational and Environmental Medicine. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Online-Only: Original Articles Bae, Suk Won Won, Jong-Uk Park, Wha Me Prediction Model for Job Retention According to the Type of Return to Work Among Industrially Injured Workers in Korea |
title | Prediction Model for Job Retention According to the Type of Return to Work Among Industrially Injured Workers in Korea |
title_full | Prediction Model for Job Retention According to the Type of Return to Work Among Industrially Injured Workers in Korea |
title_fullStr | Prediction Model for Job Retention According to the Type of Return to Work Among Industrially Injured Workers in Korea |
title_full_unstemmed | Prediction Model for Job Retention According to the Type of Return to Work Among Industrially Injured Workers in Korea |
title_short | Prediction Model for Job Retention According to the Type of Return to Work Among Industrially Injured Workers in Korea |
title_sort | prediction model for job retention according to the type of return to work among industrially injured workers in korea |
topic | Online-Only: Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835659/ https://www.ncbi.nlm.nih.gov/pubmed/36344990 http://dx.doi.org/10.1097/JOM.0000000000002737 |
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