• Research in Plant Disease
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• v.23 no.3
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• pp.207-211
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• 2017

In December of 2016, 'The Forest Protection Act' was amended partly in The National Assembly and the socalled 'Tree Doctor Act' was promulgated. Tree Doctor Act will be enforced from June 28, 2018. Under the new Act, none other than 'Tree Hospital' can do disease and pest management work for trees in public living space. The only exclusive qualification for tree hospital is a 'Tree Doctor', the government registered license which is newly established by the Act. To become a tree doctor, he/she must complete the tree doctor training courses in the designated 'Tree Doctor Academy' and pass the qualification test. Currently, Korea Forest Service is drafting the enforcement ordinances and regulations for the implement of Tree Doctor Act. When taking into consideration that the most fundamental and important discipline of the plant and tree health care is the plant pathology, and that the tree health care is a promising business for young plant pathology people, Korean Society of Plant Pathology is ought to be actively involved in the preparation of the enforcement ordinances and regulations, and help the early establishment of the new tree health care system in living spaces of Korea.

• Journal of Korean Academy of Nursing
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• v.36 no.4
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• pp.662-670
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• 2006

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.