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Purpose:The purpose of this study was to validate the Korean version of shortened Nursing Decision-Making Instrument developed by Lauri & Salanterä(2002). Methods: The subjects were 247 nurses working in eight hospitals of Korea. Data were collected by questionnaires from June to July, 2012 and were analyzed by Principal Component Analysis for construct validity and Cronbach's ⍺ coefficient for reliability. Results: Factor loadings of the four subscales ranged from .32 to .73. The explained variance from the four factors was 48.54% of the total variance. The factors were named 'implementation of plan, monitoring and evaluation', 'plans of action', 'data collection', and 'data processing and identification'. The first factor consisted of 6 items which explained 13.21% of the total variance and the second factor contained 8 items. The Cronbach's ⍺ coefficients of the four subscales were from .64 to .81. Conclusion: The Korean version of the shortened Nursing Decision-Making Instrument has satisfactory construct validity and reliability. However, that the scores of the analytic items weren't reversed unlike the analysis method of the original tools is the biggest limitation of this study. In addition, based on the fact that there were several discrepancies for item interpretation of Korean comparing to the findings of the instrument development study, repetitive researches would be suggested.

Purpose: There is increasing attention to smart-learning as a new education paradigm. The purpose of this study was to identify the level of intention to use smart-based Continuing Nurse Education (CNE) and factors influencing intention to use smart-based CNE. Methods: Participants were 486 nurses from 14 organizations, including 12 hospitals, a nurses association, and an office of education. Data were collected from November 5 to 18, 2014 using self-report questionnaires. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation, and stepwise multiple regression. Results: The mean score for intention to use smart-based CNE was 6.34 out of 10. The factors influencing intention to use smart-based CNE were nursing informatics competency, current unit career, and smartphone addiction. These variables explained 10% of variance in intention to use smart-based CNE. Conclusion:The findings of this study suggest that efforts to enhance the nursing informatics competency of nurses could increase usage rate of smart-based CNE. The CNE policy makers will find this study very useful and the findings of this study will help to provide insight into the best way to develop smart-based CNE.

Objectives: When developing smart-based continuing nursing educational (SCNE) program, it is necessary to examine the intention to use of nurse education managers and staff nurses. This study was conducted to identify the level of perceived positive and negative attitude of SCNE among nurse education managers and to define perceived ease to use and perceived usefulness among staff nurses. And we compared the factors influencing intention to use SCNE of nurse education managers and staff nurses. Methods: The data were collected by questionnaires from October 24 to November 20 of 2014. A total of 71 nurse education managers from 71 institutions and 486 staff nurses from 14 institutions participated in this study. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation, and stepwise multiple regression. Results: The mean scores of intention to use SCNE of nurse education managers and staff nurses were 5.86 vs. 6.67 (t =-3.44, p= 0.001). The factors influencing intention to use SCNE of nurse education managers were perceived effectiveness of on-line education (β = 0.19, p= 0.044), perceived positive attitude (β = 0.34, p= 0.002) and perceived negative attitude (β = 0.40, p < 0.001)(Adjusted R² = 0.60) Perceived effectiveness of on-line education (β = 0.13, p = 0.028), perceived ease to use (β = 0.50, p< 0.001) and perceived usefulness of staff nurses (β = 0.20, p= 0.010) were influencing factors for staff nurses (Adjusted R² = 0.55). Conclusions: Staff nurses had more positive perceptions and intention to use than nurse education managers for SCNE. Based on the result of this study, SCNE must be developed for staff nurses using strength such as ubiquity and freedom from the limitation of space and time.

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