Predictors of Return to Work and Job Retention after Work-Related Injury or Illness

Kang, Hyo-Soon; Im, Hyoung June; Kim, Yong Kyu; Ju, Young Su; Lee, Hwa Pyung; Kim, Jeong‐Min; Kwon, Young Jun

doi:10.35371/kjoem.2006.18.3.221

Cited by 12 publications

(14 citation statements)

References 18 publications

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“…Consequently, overall RTW rate in this study was higher and the ratio between workers who returned to their original workplaces and workers who were reemployed was different compared to the previous studies. 16 22 23 …”

Section: Discussionmentioning

confidence: 99%

“…10 14 15 In contrast, duration of treatment or sickness absence were also considered as predictors of RTW. 16 17 18 Since there are benefits of early RTW, such as rehabilitation, cost, and income, many countries have introduced policies for promoting early RTW. 19 20 21 However, there is a lack of studies on the association between early RTW and job retention.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of Return-to-Work Type and Period on Job Retention in Workers with Occupational Injuries and Diseases

et al. 2018

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BackgroundDespite the necessity of job retention in achieving return-to-work (RTW) goals, many workers leave their jobs after returning to work. The objective of this study was to examine the impacts of RTW type and period on job retention in Korean workers with occupational injuries and diseases.MethodsData were derived from the Panel Study of Worker's Compensation Insurance, including data from 2,000 systemically sampled workers who had finished recuperation in 2012; three waves of survey data were included in the analyses. Workers who returned to work (n = 1,610) were included in the analysis of the relationship between RTW type and job retention, and 664 workers who returned to their original workplaces were included in the analysis of the relationship between RTW period and job retention. The participants completed a questionnaire, and administrative data were provided by workers' compensation insurance.ResultsA Cox proportional-hazards regression analysis showed an increased hazard ratio (HR) for non-retention of 2.66 (95% confidence interval, 2.11–3.35) in reemployed workers compared to that in workers returning to their original workplaces. Among workers returning to their original workplaces, HRs for non-retention were increased in workers with a RTW period of 13–24 months (3.03 [1.52–6.04]) and > 24 months (5.33 [2.14–13.25]) compared to workers with a RTW period of ≤ 3 months.ConclusionRTW type and period were significantly related to job retention, suggesting that policies for promoting job retention rate should be implemented.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impacts of Return-to-Work Type and Period on Job Retention in Workers with Occupational Injuries and Diseases

et al. 2018

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“…For example, these studies identified women, the elderly, and low-income groups are being vulnerable in terms of RTW by analyzing the general characteristics and socio-economic characteristics of the occupationally injured workers [16]. The non-RTW participants had a higher disability grade or required long-term care [17]. Prior research reported that the RTW is difficult depending on the size of enterprise or in the context of certain kinds of business (electricity, gas and water supply) by analyzing the workplace that led to the industrial accident [18].…”

Section: Discussionmentioning

confidence: 99%

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)

Lee¹,

Yoon²,

Roh³

et al. 2015

Ann of Occup and Environ Med

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ObjectivesThis study aims to investigate associated factors including the physician and the employer of successful return to work (RTW) in occupationally injured workers.MethodsThis study is based on the first panel study of workers’ compensation insurance (PSWCI), published in June 2014. The PSWCI is a sample survey of occupationally injured workers who completed medical care in 2012 (89,921 people). A total of 2000 subjects were sampled based on sex, age, nine metropolitan-based regions, disability ratings, duration of rehabilitation, and whether vocational rehabilitation service was used. We divided the study population into two groups: return to work (RTW) group (job retention, reemployment, unpaid family worker, and self-employment), and non-RTW group (joblessness and economical inactivity). The odds ratios (ORs) and 95 % confidence intervals (CI) related to differences in basic characteristics, part of physician and employer-related factors between those who succeeded to RTW and those who did not were measured using multivariable logistic regression model.ResultsThe success of RTW is 70.6 % (n = 1412) among participants. The ORs (95 % CI) of the participants belonging to RTW who received periodic recovery assessment from the medical care institution and the physician are 1.51 (1.07–2.13). The ORs (95 % CI) are 1.68 (1.05–2.69) for the RTW group who received work ability assessment and referral for vocational return. When the employer maintains the relationship with the occupationally injured worker, the worker has 1.39 times higher odds (95 % CI: 1.41–2.26) of the RTW group compared to the non-RTW group.ConclusionsThe physician and the employer have a significant impact on the RTW.

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“…Factors such as age [2–5], sex (female) [3, 4, 6], level of education [4], economic status [6], severity of disease [2, 4], starting point of treatment [2], duration of convalescence [4, 5, 7], handicap level [5–7], working duration [2, 3, 5, 7], size of workplace [3, 5], occupational category [3, 5, 7], average wages [5], type of employment [7], and intervention for returning [8] have been described as important elements. Recent studies have shown that psychological elements—including self-efficacy, coping skill, disability acceptance, and depression—have a relationship with returning to work.…”

Section: Introductionmentioning

confidence: 99%

“…Some studies show both the relationship between returning to work and other factors and also the subdivision of returning [5, 10], exploring the returning process [6], or tracing workers after returning [11]. Other studies have shown that returning to work would not be successful [12, 13] and unsuccessful returns made many injured workers change their jobs [11, 14].…”

Section: Introductionmentioning

confidence: 99%

The effects of individual, occupational, and supportive factors on successful return to work using a structural equation model

Lee¹,

Choi

Park³

et al. 2015

Ann of Occup and Environ Med

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ObjectivesWe aimed to ascertain the relationship between several factors and successful return to work using a structural equation model.MethodsWe used original data from the Panel Study of Worker’s Compensation Insurance, and defined four latent variables as occupational, individual, supportive, and successful return to work. Each latent variable was defined by its observed variables, including age, workplace size, and quality of the medical services. A theoretical model in which all latent variables had a relationship was suggested. After examining the model, we modified some pathways that were not significant or did not fit, and selected a final structural equation model that had the highest goodness of fit.ResultsAll three latent variables (occupational, individual, and supportive) showed statistically significant relationships with successful return to work. The occupational and supportive factors had relationships with each other, but there was no relationship between individual and the other factors. Nearly all observed variables had significance with their latent variables. The correlation coefficients from the latent variables to successful return to work were statistically significant and the indices for goodness of fit were satisfactory. In particular, four observed variables—handicap level, duration of convalescence, working duration, and support from the company—showed construct validities with high correlation coefficients.ConclusionsAll factors that we examined are related to successful return to work. We should focus on the supportive factor the most because its variables are modifiable to promote a return to work by those injured in their workplace.

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Predictors of Return to Work and Job Retention after Work-Related Injury or Illness

Cited by 12 publications

References 18 publications

Impacts of Return-to-Work Type and Period on Job Retention in Workers with Occupational Injuries and Diseases

Impacts of Return-to-Work Type and Period on Job Retention in Workers with Occupational Injuries and Diseases

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)

The effects of individual, occupational, and supportive factors on successful return to work using a structural equation model

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