• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.258-268
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• 2017

The purpose of this research was to examine the factors affecting motivation for change of injured workers. Data from 305 injured workers were anlayzed using hierarchical regression Factors associated with injured workers' motivation for change were: multiple psychological security, acceptability of injury, and independence at personal level, family support at family level, and perceptive severity of injury, job, and return to job.

• The Safety technology
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• no.178
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• pp.22-23
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• 2012

• Journal of Digital Convergence
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• v.16 no.7
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• pp.19-26
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• 2018

This study is purposed to analyze how the utilization of rehabilitation services and the desire for service utilization changes with time, to explain the factors affecting service needs and to suggest direction of policy improvement for injured workers. Using the Workers' Compensation Insurance Panel Data ver.1~3, this study analyzed 5,004 observations. Panel regression analysis was performed using STATA to examine changes over time. Two key findings were made: first, the factors influencing the degree of need for rehabilitation services were age, educational period, ability on job performance, community service experience, re-employment and unemployment; second, the significant factors influencing the degree of need for rehabilitation services according to time were age, education period, unemployment, ability on job performance, and experience in using community services. That results were different from the previous cross-section analysis. These findings indicate that it is necessary to check and adjust the initial intervention contents after the end of the period of care on a timely base.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1271-1281
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• 2015

Competing risk analysis is widely applied to analyze a failure time with more than two causes. This paper discusses the application of a competing risk model to a economic activity state of workers with occupational injuries. In particular, main interest is to estimate the distribution of restarting time two kinds of economic activities, (i) returning to original working place and (ii) finding a new job. In this paper, we applied a cumulative incidence function to evaluate their patterns under several individual factors and working place's factor. Furthermore, a subdistributional regression model is applied to estimate the effect of these factors on the returning time. According to result, worker with higher education, younger age and longer working period had a higher chance to return an original working place while one with more severe injuries and skilled laborer had longer returning time to an original working place.

• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.194-206
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• 2020

This study aims at creating a daily life satisfaction improvement plan by using motivation for seeking need for rehabilitation services and self-efficacy in individuals who returned-to-work and reemployed injured workers. The subjects of this study were 2,642 returnees and 3,742 reemployed individuals who participated in the first to fifth year survey of the first cohort of the Panel Survey of Workers' Compensation Insurance. The analysis checked the mediating effect through the multiple regression analysis and bootstrapping. The result indicated the need for rehabilitation services had negative impact on self-efficacy and daily life satisfaction whereas self-efficacy had a positive effect on daily life satisfaction and played a mediating role between the need for rehabilitation services and daily life satisfaction. Based on these results, a need for the advancement of social psychological rehabilitation program and establishing an integrative rehabilitation process were identified.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.293-302
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• 2021

This study is designed to find out clinical factors and the effects of individual art therapy for workers involved in industrial accident. From January 2017 to July 2019, 10 industrially injured workers were individually subjected to 11 art therapy sessions, and a multidimensional psychological test S type was used to examine changes in clinical factors before and after individual art therapy. The results showed that the average of the five clinical factors ranges from 2.80 to 4.20, indicating that the psychological pain of workers injured was significant. As a result of bivariate correlation analysis, it was confirmed that meaningful correlation existed within the statistical scope of all factors. As for the difference in the results of multidimensional psychological tests before and after art therapy, out of the five clinical factors, the Z values of depressed, anger and anxiety were -2.405(p=.016), -2.148 (p=.032) and -2.102 (p=.036), to confirm that the depressed, anger and anxiety of the participants have eased somewhat after performing individual art therapy.

• Korean Journal of Social Welfare Studies
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• v.48 no.4
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• pp.221-249
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• 2017

This study aims to investigate determinants that affect job retention of injured workers depending upon types of return to work in order to suggest define the intervention priority for those who returned to original works and for those who did not. After constructing explaining variables based on literature reviews, determinants were verified analyzing 1,292 people using Panel Study of Worker's Compensation Insurance(PSWCI) data. The job retention period turned out to be 46.6 months for those who returned to original work and 34.2 month for those who returned to new works. Injured workers who return to new works tend to have more unemployment experiences. As a result of Cox proportional regression analysis, the longer it takes to return to work, the longer both groups tend to retain after the accident. Age, recuperation period, health status, psycho-social rehabilitation, education and occupational training also affect on job retention probability for those who return to new work. Based upon the analyzed result, setting up an adequate duration for return-to-work, intervention for injured workers who experienced vulnerable working condition before the accident and continuous case management after return-to-work are suggested.

• Journal of Industrial Convergence
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• v.22 no.3
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• pp.1-12
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• 2024

The purpose of this study is to categorize the adaptation of re-employed injured workers to the workplace and to explore the determinants that affect their adaptation to the workplace. In order to categorize the group of re-employed injured workers to adapt to the workplace, a latent profile analysis was conducted on 522 injured workers. As a result of the analysis, the workplace adaptation group was classified into three types: environmental dominant adaptation type (group 1), work-oriented adaptation type (group 2), and 'environmental adaptation type (group 3). In addition, as a result of conducting a mixed regression analysis to analyze the factors influencing their adaptation to the workplace after industrial accident, it was found that the work-oriented adaptation and environmental adaptation adaptation type were lower than the environmental dominant adaptation type. In addition, it was confirmed that educational background and self-esteem are factors that have an important influence on the adaptation of injured workers to the workplace. Based on the results of this study, it was suggested that the system needs to be supplemented in two aspects: customized support for individuals in the pre-reemployment stage and the employment environment after re-employment in order to increase the adaptation of injured workers to work. Specifically, there are consideration of the development and spread of rehabilitation programs and the expansion of the scope of subsidies that were paid only to the original business owners. Through this study, it is expected that more targeted policy measures can be prepared for re-employed injured workers.

• Korean Journal of Social Welfare
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• v.69 no.3
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• pp.193-212
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• 2017

This study is purposed to explain the characteristics of injured workers' labor market situation and to analyze the factors influencing labor market transition of those workers. Using the Worker's Compensation Insurance Panel Data ver.1~3 which was surveyed by the Korean Workers' Compensation & Welfare Service in 2013-2015, this study analyzed 1,668 injured worker cases. The study shows that workers who have experience job retention at least once are 36.8% of all, 51.5% of them have experienced re-employment, and 36.9% have done unemployment. One result of the longitudinal analysis is that socio-demographic factors including gender, age, education years, convalescence period, ability on job performance, company size, term of service, temporary employment, daily-workers status before job accident and job training were associated with return to pre-injury job. The other result is that statistically significant factors affecting the probability to be the unemployed are gender, age, levels of disability, convalescence, ability on job performance, term of service before job accident, job rehabilitation service utilization. These findings indicate that we need to develop efficient intervention programs for supporting return-to-work and labor market transition of injured workers.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.10 no.2
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• pp.119-126
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• 2016

This study aimed to analyze the effects of psychological-social factors, economic factors and Health-related factors of industrially injured workers on life satisfaction. For this study, the data of the 2014 1st Korea Panel Study of work's compensation Insurance. From all the subjects study, 2000 industrially injured workers who were fit for the study purpose were chosen and analysis were implemented. Self efficacy, self esteem, old age preparations of psychological-social factors influenced on life satisfaction. Economic activity, socioeconomic status of economic factors influenced on life satisfaction. Subjective health status, with the help of others of Health-related factors influenced on life satisfaction. The model explained 34% of the valuables.