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의사결정나무 분석기법을 이용한 뇌졸중 지식 취약군 규명

 Identification of Subgroups with Lower Level of Stroke Knowledge Using Decision-tree Analysis

Journal of Korean Academy of Nursing 2014년 44권 1호 p.97 ~ 107
KMID : 0806120140440010097
김현경 ( Kim Hyun-Kyung ) - 전북대학교 간호대학

정석희 ( Jeong Seok-Hee ) - 전북대학교 간호대학
강현철 ( Kang Hyun-Cheol ) - 호서대학교 정보통계학과

Abstract

Purpose: This study was performed to explore levels of stroke knowledge and identify subgroups with lower levels of stroke knowledge among adults in Korea.

Methods: A cross-sectional survey was used and data were collected in 2012. A national sample of 990 Koreans
aged 20 to 74 years participated in this study. Knowledge of risk factors, warning signs, and first action for stroke were surveyed using face-to-face interviews. Descriptive statistics and decision tree analysis were performed using SPSS WIN 20.0 and Answer Tree 3.1.

Results: Mean score for stroke risk factor knowledge was 7.7 out of 10. The least recognized risk factor was diabetes and four subgroups with lower levels of knowledge were identified. Score for knowledge of stroke warning signs was 3.6 out of 6. The least recognized warning sign was sudden severe headache and six subgroups with lower levels of knowledge were identified. The first action for stroke was recognized by 65.7 percent of participants and four subgroups with lower levels of knowledge were identified.

Conclusion: Multi-faceted education should be designed to improve stroke knowledge among Korean adults, particularly focusing on subgroups with lower levels of knowledge and less recognition of items in this study.
KeyWords
뇌졸중, 건강지식, 의사결정나무
Stroke, Health knowledge, Decision trees
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SCI(E) MEDLINE 학술진흥재단(KCI) KoreaMed