J Korean Acad Nurs Adm.  2010 Dec;16(4):517-526.

Analysis of the Journal of Korean Academy of Nursing Administration for 3 Years (2007-2009)

• Kim JK
• Jung MS
• Jang KS
• Kim J
• Kim EK
• Lee H
• Kim YM
• Kim SY
• Park EJ

Abstract

PURPOSE
The purpose of this study was to identify the major trends of research in the Journal of Korean Nursing Administration from 2007 to 2009. METHOD: Research designs, participants, research domains, and key words were analyzed from the Journal of Korean Nursing Administration.
RESULTS
Job satisfaction, organizational commitment, job stress, turnover intention, nursing performance, self-efficiency, leadership, empowerment, nursing informatics, and quality control were the major key words commonly listed in the journal articles. Of the research in the Nursing Administration Journal, quantitative methods were used in 94.5% of the research studies and qualitative methods in only 5.5%. The major participants in the research were nurses, nurse managers, and patients. Statistical methods like ANOVA, correlation, t-test, regression, chi-square test, LISREL were the dominant method of analysis used in the research. The primary domains in the journal articles were directing, organizing, control, planning, and informatics.
CONCLUSION
Through this study, the trend of research in nursing administration can be identified. We recommend that collaboration, nurse work environment, evidence-based practice, scheduling, coaching, patient falls and safety, and positive culture should be included as topics for the future research.

Keyword

Nursing; Administration Research; Analysis; Research design

MeSH Terms

Cooperative Behavior
Evidence-Based Practice
Humans
Intention
Job Satisfaction
Nurse Administrators
Nursing Informatics
Power (Psychology)
Quality Control
Research Design

Figure

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  Figure 1 Key Words of the published articles from 2007 to 2009

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  Figure 2 Types of research design of the published articles from 2007 to 2009

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  Figure 3 Research subjects of the published articles from 2007 to 2009

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  Figure 4 Data analysis method of the published articles from 2007 to 2009

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  Figure 5 Key concept of the published articles from 2007 to 2009

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