PURPOSE
This study was conducted to develop Web-based multimedia contents for supporting student nurses' clinical practice on critical care, and to evaluate learners' responses.
METHODS
Based on the steps of Assessment, Design, Development, Implementation, & Evaluation(ADDIE) model, a total of 13 self-directed learning modules including live lectures and real video clips were developed through faculty collaboration of nine nursing colleges in Gwangju and Chonnam province. The finally developed multimedia contents were published on the Web of the learning management system at a local e-learning center.
RESULTS
The Web contents were evaluated after self-learning by 81 junior college nursing students who were encouraged to study it at their own pace during their two-week clinical practice at a medical or surgical intensive care unit of a university hospital and two hospitals. The knowledge (t = -27.66, p < .001) and self-evaluated clinical performance level(t = 7.54, p < .001) were significantly increased after learning of the Web contents and clinical practice, and satisfaction level that measured post-test only was 4.0 out of 5 point.
CONCLUSION
The use of Web contents for critical care need to be extended as a complimentary material in a class room lecture or clinical practice of students to increase their self-learning ability and understandings of clinical knowledge and situation.

PURPOSE
This study was conducted to meta-analyze the effects of hardiness on health-related variables. METHOD: After review of 19 studies performed by Korean nurses, research variables, statistical data(r or F), and other methodological data were extracted and coded. Research variables were categorized under 5 groups such as health-related behavior, well-being, adaptation, stress, and support according to conceptual similarity. Using SAS program, 20 research variables and 34 effect sizes were calculated after eliminating heterogeneous data by Q-test, RESULTS: Effects of hardiness on whole research variables was .512 and ranged from .322 to .643 by categories. The greatest effect was obtained from well-being category, whereas the smallest effect from stress category. All effect sizes were statistically significant. But fail-safe numbers were small and failed to achieve reasonable tolerance level. CONCLUSION: Results of meta-analysis indicated that hardiness has a moderate effect on health-related variables. But for improving the reliability of the results by minimizing publication bias, the more hardiness studies should be done.

PURPOSE
The purpose of this study was to identify patterns and trends of hardiness studies and to suggest the direction of further research. METHOD : Forty-seven hardiness studies were collected through internet searching and were reviewed by some criteria. RESULT : The results showed that hardiness studies have increased rapidly since 1990's. Eighteen studies were thesis' for degrees and others were for non- degree research studies. All studies employed the non-experimental design, particularly correlational studies. In the sampling method, all studies used non-probability sampling. Most commonly used instrument for hardiness measurement was Pollock(1986)'s HRHS. In the majority of research, hardiness was treated both as a composite measure and 3 subscales. Hardiness-related concepts were 27 and classified into 5 categories such as health behavior, stress, adaptation, support, and others. Most common statistical technique was Pearson's correlation coefficient, followed by regression, ANOVA, path analysis. CONCLUSION: To be utilized as practical nursing knowledge, hardiness studies should be done with more empirical analysis such as experimental research, and Meta-analysis is needed to compare the effect size and significance of composit and 3 subscales of hardiness construct.

PURPOSE
This study was conducted to investigate the relationship of hardiness, job stress, and burnout in nurses, and to identify predictors of burnout.
METHOD
Empirical data were collected from 154 staff nurses at one university hospital in Gwangju city. Self- reported questionnaires were composed of the Personal Views Survey(PVS), job stress scale, Tedium scale, and 7 items asking nurse's general characteristics. Data analysis was done with a SAS package.
RESULT
In correlation analysis, hardiness, job stress, and nursing satisfaction had significant correlation with burnout. In stepwise multiple regression, 28.7% of the variance in burnout was accounted for by nursing satisfaction(19.9%), job stress(6.0%), and hardiness(2.8%). Among subscales of hardiness, only commitment was a significant predictor, so nursing satisfaction, job stress, and commitment explained 28.9% of variance in burnout.
CONCLUSION
Based on the findings of this study, the development of program for nurses to increase nursing satisfaction is needed, and more studies to examine causal relationship between nursing satisfaction and burnout is also highly recommended.