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Abstract
Purpose
The purpose of this study was to identify the factors influencing intention of migration by Korean hospital nurses.
Methods
Using cross sectional correlational design, data were collected from 512 nurses working in 7 hospitals ranging in size from 300 to 900 beds in D city and K province of Korea. Data were analyzed by descriptive statistics, chi-square, and multiple hierarchical regression using the SPSS program.
Results
There were significant differences in intention of migration by age, educational background, marital status, work experience, and yearly incomes. Although there was high intention of migration of the subjects, the level of preparation for migration was relatively low. The variables that were independently associated with intention of migration were graduates of RN-BSN program, personal factors of subjects, and environmental factors. Those who had lower perception on nursing images and work condition had significantly higher intention of migration than those who had higher perception. Full model accounted for 37.3% of the variance in intention of migration.
Figures and Tables
Table 2
Mean score of personal and environmental factors of subjects (N=512)
POE_app=the ratio of considering possibility of overseas employment when applying for nursing colleges;
Red_OE=the level of personal readiness for overseas employment including certifications, skill, competency, and etc.;
Em_St=the perception of employment stability in current job;
Sat_WC=the level of satisfaction on nursing images in Korea and work condition in hospital.
Table 3
The influence of personal and environmental factors on the intention of migration (N=512)
POE_app=the ratio of considering possibility of overseas employment when applying for nursing colleges;
Red_OE=the level of personal readiness for overseas employment including certifications, skill, competency, and etc.;
Em_St=the perception of employment stability in current job;
Sat_WC= the level of satisfaction on nursing images in Korea and work condition in hospital.
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