Journal of Korean Academy of Nursing

Original Articles

Korean Nursing Students' Experience of Ethical Problems and Use of Ethical Decision-Making Models: Sung Suk Han, Hyeoun Ae Park, Sung Hee Ahn, Miriam E Cameron, Hyo Sook Oh, Kyeong Uoon Kim; Journal of Korean Academy of Nursing 2001;31(5):846-857. Published online March 29, 2017; DOI: https://doi.org/10.4040/jkan.2001.31.5.846

Abstract PDF: PURPOSE: This study was conducted to study on 1) What is nursing students' experience of ethical problems involving nursing practice? 2) What is nursing students' experience of using ethical decision-making models?
METHOD
In order to answer these two questions, we selected 97 senior baccalaureate nursing students from two Korean universities using a conceptual framework and method of content analysis.
RESULT
From 97 ethical problems emerged five content categories, the largest being ethical problems involving health professionals (69%); the basic nature of the nursing students' experience of ethical problems consisted of conflict, resolution, and rationale; 94% of the students stated that using an ethical decision-making model was helpful.
CONCLUSION
Although additional research is needed, these findings have important implications for nursing ethics education and practice.

Decision-tree Model of Treatment-seeking Behaviors after Detecting Symptoms by Korean Stroke Patients: Hyo Sook Oh, Hyeoun Ae Park; Journal of Korean Academy of Nursing 2006;36(4):662-670. Published online March 28, 2017; DOI: https://doi.org/10.4040/jkan.2006.36.4.662

Abstract PDF: Purpose
This study was performed to develop and test a decision-tree model of treatment-seeking behaviors about when Korean patients visit a doctor after experiencing stroke symptoms.
Methods
The study used methodological triangulation. The model was developed based on qualitative data collected from in-depth interviews with 18 stroke patients. The model was tested using quantitative data collected from interviews and a structured questionnaire involving 150 stroke patients. The predictability of the decision-tree model was quantified as the proportion of participants who followed the pathway predicted by the model.
Results
Decision outcomes of the model were categorized into immediate and delayed treatment-seeking behavior. The model was influenced by lowered consciousness, social-group influences, perceived seriousness of symptoms, past history of hypertension or stroke, and barriers to hospital visits. The predictability of the model was found to be 90.7%.
Conclusions
The results from this study can help healthcare personnel understand the education needs of stroke patients regarding treatment-seeking behaviors, and hence aid in the development of educational strategies for stroke patients.

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