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Original Article
A Model Study on Medical Utilization of Workers with Non-Occupational Diseases : An Application of the Theory of Planned Behavior
Chang Hyun Han, Jae Yong Park, Sin Kam, Sung Ah Kim, Ki Soo Park
Korean Journal of Occupational and Environmental Medicine 2006;18(4):284-297.   Published online December 31, 2006
DOI: https://doi.org/10.35371/kjoem.2006.18.4.284
AbstractAbstract PDF
OBJECTIVES
This study was carried out to examine the factors influencing the behavioral intention and behavior of workers with non-occupational diseases when utilizing medical facilities, using the theory of planned behavior (TPB).
METHODS
The first TPB questionnaire was administered to 3,116 subjects during workers'periodic health examinations at one health examination institute, between September and December in 2000. An investigation of the medical facilities utilization was also conducted by administering a second survey to the 354 subjects (11.4%) adjudged to be workers with non-occupational diseases from the results of the health examination.
RESULTS
The medical utilization rate within one month was 41.5%. To investigate the overall relationship between variables, the authors conducted a linear structural equation model analysis, based on the theory of planned behavior. The attitude toward behavior and the subjective norm both positively influenced the behavioral intention (T> or = 2.0). The perceived behavioral control and behavioral intention both positively influenced the behavior (T> or = 2.0) CONCLUSIONS: To improve the medical utilization by workers found to have diseases as a result of their health examination, the implementation of an intervention program will be necessary to increase the behavioral intention and perceived behavioral control, and care givers must pay more attention to eventually converting behavioral intention into actual behaviors.

Citations

Citations to this article as recorded by  
  • System of Parametric Modelling and Assessing the Production Staff Utilisation as a Basis for Aggregate Production Planning
    Martin Krajčovič, Beáta Furmannová, Patrik Grznár, Radovan Furmann, Dariusz Plinta, Radovan Svitek, Ivan Antoniuk
    Applied Sciences.2021; 11(19): 9347.     CrossRef
  • Factors Associated with Cancer Screening Intention in Eligible Persons for National Cancer Screening Program
    Rock-Bum Kim, Ki-Soo Park, Dae-Yong Hong, Cheol-Heon Lee, Jang-Rak Kim
    Journal of Preventive Medicine and Public Health.2010; 43(1): 62.     CrossRef
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Original Article
Fatigue as a Predictor of Medical Utilization, Occupational Accident and Sickness Absence
Sei Jin Chang, Sang Baek Koh, Dongmug Kang, Seong Ah Kim, Jin Joo Chung, Chul Gab Lee, Myung Geun Kang, Sook Jung Hyun, Jung Jin Cho, Bong Suk Cha, Jong Ku Park
Korean Journal of Occupational and Environmental Medicine 2005;17(4):318-332.   Published online December 31, 2005
DOI: https://doi.org/10.35371/kjoem.2005.17.4.318
AbstractAbstract PDF
OBJECTIVES
This study examined the relationship of fatigue to medical utilization, occupational accident and sickness absence. Subjects and METHODS: Data were obtained from the National Study for Development and Standardization of Occupational Stress (NSDSOS Project, 2002~2004). A total of 30,146 employees categorized within the Korean Standard Industrial Classification and the Korean Standard Occupational Classification were recruited. A structured-questionnaire was used to assess the participants' sociodemographics, job-related factors, health-related behaviors, personality trait, self-perceived fatigue (MFS) and the frequency of medical utilization, occupational accident and sickness absence. Data on medical utilization and occupational accident were confirmed from company health records. Chi-square test and logistic regression analysis were used to elucidate the relationship of self-perceived fatigue to medical utilization, occupational accident and sickness absence.
RESULTS
In logistic regression analyses, self-perceived fatigue was associated with medical utilization (outpatient), occupational accident and sickness absence although the strength of the associations was higher in the blue collar workers except for medical utilization. For medical utilization, the white collar workers' adjusted odds ratios of outpatient utilization for workers scoring in the third quartile and the highest quartile, compared to workers scoring in the lowest quartile were 1.50 (95% CI: 1.20-1.87) and 2.16 (95% CI: 1.69-2.75), respectively. The blue collar workers' adjusted odds ratios of outpatient utilization for workers scoring in the second (OR: 1.23, 95% CI: 1.06-1.43), third (OR: 1.42, 95% CI: 1.22- 1.66) and highest quartile (OR: 1.83, 95% CI: 1.55-2.17), respectively, compared to workers scoring in the lowest quartile were statistically significant. However, no associations were found between fatigue and inpatient utilization for either the white or blue collar workers. The blue collar workers' adjusted odds ratios of being injured for workers scoring in the second, third and highest quartile were 1.41 (95% CI: 1.00-2.00), 1.57 (95% CI: 1.10-2.22) and 2.41 (95% CI: 1.69-3.44), respectively, compared to those scoring in the lowest quartile, but, those of the white collar workers were not significant. There was more likely to an increased risk of sickness absence in workers scoring in the second, third and highest quartile compared to those scoring in the lowest quartile in both white and blue collar workers, but the magnitudes of risk were higher in the blue collar workers than the white collars workers.
CONCLUSION
This result suggests that fatigue is a determinant predictor of medical utilization, occupational accident and sickness absence, and that the pattern of risks for the three outcomes differs according to the occupational type. Some limitations of this study and considerations for future study were also discussed.

Citations

Citations to this article as recorded by  
  • Impact of Indoor Green in Rest Space on Fatigue Recovery Among Manufacturing Workers
    ChoHye Youn, LeeBom Chung, Minji Kang, Juyoung Lee
    Journal of Environmental Science International.2024; 33(3): 217.     CrossRef
  • The relationship between fatigue and sickness absence from work
    Minsun Kim, Jiho Kim, SeongCheol Yang, Dong-Wook Lee, Shin-Goo Park, Jong-Han Leem, Hwan-Cheol Kim
    Annals of Occupational and Environmental Medicine.2023;[Epub]     CrossRef
  • Relationship between fatigue severity scale and occupational injury in Korean workers
    Hyeonwoo Ju, Hwan-Cheol Kim, Sung Wook Jang, Youna Won, Shin-Goo Park, Jong-Han Leem
    Annals of Occupational and Environmental Medicine.2021;[Epub]     CrossRef
  • Convergence Relationship between Occupational Stress and Fatigue Symptoms among Blue Collar Workers in Manufacturing Plants
    Eun-Sook Shin
    Journal of the Korea Convergence Society.2016; 7(1): 57.     CrossRef
  • A Study on the Relationship between Fatigue Level, Job Stress and Quality of Life for Workers
    Yunyoung Kim, Hye-Sun Hyun, Jong Hyang Yoo
    Korean Journal of Occupational Health Nursing.2015; 24(4): 372.     CrossRef
  • Study on the Structural Relation between the Level of Fatigue and Stress of Construction Workers and Disaster Risks
    Yong Koo Yang, Byung Suk Kim
    Journal of the Korea Safety Management and Science.2014; 16(3): 35.     CrossRef
  • Relationship Between Job Stress and Fatigue Symptoms Among Nurses in a University Hospital
    Soon-Young Kim, In-Sun Kwon, Young-Chae Cho
    Journal of the Korea Academia-Industrial cooperation Society.2012; 13(4): 1759.     CrossRef
  • Effects of Fatigue on Health Promotion Behavior and Mental Health of Automotive Manufacturing Workers
    Kyung-Hee Lee, Kyung-Sook Lee
    Korean Journal of Occupational Health Nursing.2011; 20(2): 143.     CrossRef
  • Factors Associated with Work-Related Injuries of Nurses in Small and Medium Sized Hospitals
    Jee In Hwang, Eun Jeong Hwang
    Journal of Korean Academy of Nursing Administration.2010; 16(3): 306.     CrossRef
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Original Article
Medical utilization of the Hand Injured Patients among the Industrial Accident Compensation Insured
Bong Suk Cha, Sei Jin Chang, Myung Keyn Lee
Korean Journal of Occupational and Environmental Medicine 1989;1(2):168-179.   Published online November 30, 1989
DOI: https://doi.org/10.35371/kjoem.1989.1.2.168
AbstractAbstract PDF
This study attempts to assess the status of hand injured patients and their medical care utilization among the industrial accident compensation insured. The study subjects were the 8,648 hand injured patients (2,951 inpatients and 5,697 outpatients) who were attended in the medical facilities of Seoul area from January, 1986 to August, 1988. The following results were obtained. 1. About 90% of hand injured patients were male, and about 62% of them were less than 30 years of age. 44.4% of inpatients recieved treatment in general hospital and 42.0% of outpatients in clinic. 2. The highest mean medical cost by facility were 929,000 won of general hospital in inpatient, and 108,000 won of clinic and general hospital in outpatient. 3. The highest mean medical cost by injury were 690,000 won of amputation in inpatient and 126,000 won of fracture in outpatient. 4. The longest mean patient days by facility 25.3 days of general hospital in inpatient and 20.7 days of clinic in outpatient. According to the type of injury, 23.1 days of open wound in inpatient and 23.0 days of fracture in outpatient. 5. The, highest mean medical cost per day by facility was 39,000 won of inpatient and 8,000 won of outpatient in general hospital. According to the type of injury, these were 34,000 won of dislocation and burns in inpatient and 7,000 won of dislocation and burns in outpatient.

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