• 보건행정학회지
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• 제29권4호
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• pp.496-501
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• 2019

Background: In this study, wage status and wage determinants of care workers were analyzed. Methods: The analysis used database (DB) of long-term care institutions, DB of long-term care institutions, DB of long-term care workers, DB of health insurance qualification, and contribution possessed by National Health Insurance Services. We analyzed the wage status of the care workers from 2009 to 2016 through basic analysis and estimated the factors affecting the wage of the long-term care facilities' care workers using pooled ordinary least squares. Results: The monthly average wage of care workers was raised from Korean won (KRW) 1.37 million in 2009 to KRW 1.52 million in 2016, and the working hours were shortened by 20 hours from 207 hours to 187 hours. Hourly wages increased by KRW 1,329 from KRW 6,831 in 2009 to KRW 8,160 in 2016. The average monthly wage of care workers was affected by gender, age, years of employment, monthly working hours, establishment type, city size, institutional size, the grade of the institution, and management status. In particular, the wage level of the care workers was high when the larger the size of the institution, the better the management status (fill rate), the establishment type is "government and local government" and "corporation," the institutional rating is high, and the facility manager has the first grade of the social worker license. Conclusion: The government should consider aggressive policies to improve the treatment of care workers as well as the quality of long-term care services so that there will be more long-term care facilities that are guaranteed social publicity above a certain level.

• 임상간호연구
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• 제25권3호
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• pp.294-302
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• 2019

Purpose: The purpose of this study was to investigate the wage structure of hospital nurses in Korea and to analyze the factors that determine the level of nurses' wages. Methods: First, a mobile survey on nurses' wages was conducted with a total of 3,742 nurses working in hospitals. A literature review was also done. Second, a regression model was applied to analyze the determinants of nurses' wages. Results: The average monthly wage of 3,742 nurses based on the survey was KRW 3,588,000 and the standardized monthly income of 3,742 nurses was estimated to be KRW 3,364,000 as of the end of 2018. The results of regression analysis(R²=61.7%) showed that gender, nursing experience, designated night duty, ownership, and number of beds were statistically significant variables for nurses' wages at 1% significance level. The monthly wage of nurses working in total nursing care wards was not significantly different from those working in other wards at 5% significance level. Conclusion: The substantial difference in nurses' wages according to job career, hospital size, region, etc may result in the low proportion of nurses with more than three to five years of service experience and the high turnover of less-experienced workers. Consideration should be given to adjust the gap in wage level and a standard nurse wage system could be effective measures.