Journal of Korean Academy of Nursing (대한간호학회지)

Korean Society of Nursing Science (한국간호과학회)
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Identification of Subgroups with Lower Level of Stroke Knowledge Using Decision-tree Analysis

의사결정나무 분석기법을 이용한 뇌졸중 지식 취약군 규명

  • Kim, Hyun Kyung (College of Nursing, Research Institute of Nursing Science, Chonbuk National University) ;
  • Jeong, Seok Hee (College of Nursing, Research Institute of Nursing Science, Chonbuk National University) ;
  • Kang, Hyun Cheol (Department of Informational Statistics, Hoseo University)
  • 김현경 (전북대학교 간호대학.간호과학연구소) ;
  • 정석희 (전북대학교 간호대학.간호과학연구소) ;
  • 강현철 (호서대학교 정보통계학과)
  • Received : 2013.10.31
  • Accepted : 2014.01.27
  • Published : 2014.02.28
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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

References

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