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http://dx.doi.org/10.5807/kjohn.2012.21.3.247

A Path Analysis on Morale among Staff of Long-term Care Insurance in National Health Insurance Corporation  

Kim, Hyun Mi (Department of Nursing, Taegu Science University)
Choi, Yeon Hee (College of Nursing, Kyungpook National University)
Publication Information
Korean Journal of Occupational Health Nursing / v.21, no.3, 2012 , pp. 247-257 More about this Journal
Abstract
Purpose: This study is designed to identify major factors that affect morale among staff of long-term care insurance in National Health Insurance Corporation. Methods: In order to collect the data, a survey was conducted by using the structured questionnaire based on 161 staff members of long-term care insurance of 50 long-term care operation centers, which were randomly selected by the table of random numbers in the whole centers of National Health Insurance Corporation from September 1 to 30, 2011. As for the data analysis, SPSS 18.0 was used to conduct the descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, mutiple regression, and path analysis. Results: The average point of morale was 3.37, and had a negative correlation with the job stress, while it had a positive correlation with the social support, professional identity, and self-efficacy. Job stress, social support, and professional identity have a significant effect on morale among the independent variables. These variables have significant effects on morale, and also have a positive effect on self-efficacy. The findings show that self-efficacy mediates the process of morale. Conclusion: In this study, the factor which influences the morale was identified. It turned out that the morale could be improved by reinforcing the professional identity, managing the health status as well as rotating the working place. As such, it expects both the improvement of long-term care insurance services outcome and its quality through the morale management.
Keywords
Morale; Job stress; Social support; Professional identity; Self-efficacy;
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