- Research on work stress and mental health status of the industrial workers.
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Bong Suk Cha, Sei Jin Chang, Myung Keyn Lee, Jong Ku Park
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Korean J Prev Med. 1989;22(1):90-101.
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 Abstract
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- Recently concerns on work stress and mental health status of industrial workers were increased. The purpose of this study was to investigate the work stress measured by PSI (psychiatric symptom index) according to socio-demographic variables. The study population was consisted with two types of group; manual and clerical workers. The, major findings of this study were as follows; Mean scores of psychiatric symptom in manual workers were higher in female, youth, educated, unmarried and divorced, noisy condition, that in clerical workers was higher in aged. Mean scores of psychiatric symptom were highly affected by degree of work autonomy, self-esteem, and self-efficacy in both groups. The higher the work autonomy, self-esteem, and self-efficacy, the lower the mean scores of work stress it showed. Psychiatric symptom index was explained with the work autonomy, self-esteem, self-efficacy through multiple stepwise regression. The annual admission rates were high in highly ranked groups on each psychiatric symptom dimension.
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Summary
- Work Stress and Mental Health of the Industrial Workers.
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Bong Suk Cha, Jong Ku Park, Myung Keyn Lee, Sei Jin Chang
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Korean J Prev Med. 1988;21(2):365-373.
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Abstract
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- Information on work stress and mental health status of industrial workers was required for optimum staffing and health care management. This study dealt with the relationship between mental health status examined by PSI(psychiatric symptom index) and socio-demographic variables. Especially this study attempted to find relevant determinants of the stress and mental health through multiple stepwise regression analysis based on data obtained from 687 occupational workers. The findings of this study were as follows; Mean scores of symptom dimension were higher in youth, female, more educated, unmarried and divorced, and workers in the noisy condition and short duration in job. And it showed high scores in long duration in job for anxiety; college educated for anger; unmarried for cognitive disturbance. The factors affecting the mean scores of psychiatric symptom index were varied according to the types of symptom; age, sex and duration in job for anxiety; age, sex, living with parent, education and marital status for anger; sex and marital status for depression; noisy condition and sex for cognitive disorder.
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Summary
- Factors Affecting Productivity of Medical Personnel in Training Hospital.
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Myung Keyn Lee
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Korean J Prev Med. 1987;20(1):56-66.
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Abstract
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- Information on productivity of hospital personnel is required for optimum staffing and hospital management. This study deals with the quantitative aspects of workload of medical personnel in training hospitals by their specific characteristics. Specifically this study attempted to fine relevant determinants of the productivity of medical personnel using multiple stepwise regression analysis based on data obtained from 135 training hospitals. The findings of this study were as follows: 1) Daily average number of outpatients and inpatients treated by a physician were 20.4 and 10.2, respectively. 2) Daily average number of patients cared by a nurse was 8.2. Daily average number of tests performed by pathologic technician and radiologic technician were 83.2 and 21.5, respectively. 3) Productivity of medical personnel were significantly different for the three groups of factors: hospital size (number of beds, number of medical personnel per 100 beds); institutional characteristics (medical school affiliation, training type, profit status); and environmental factors (location, number of physician and beds per 1,000 population in the region). 4) The factors affecting the productivity varied according to the types of medical profession: the number of beds, the number of physicians per 100 beds, training type, and profit status for physicians; the number of nurses per 100 beds, the number of beds, medical school affiliation for nurses; the number of physicians per 100 beds, the number of technicians per 100 beds, and ownership for pathologic technicians; the number of technicians, training type, and the number of physicians per 100 beds for radiologic technician.
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