Journal List > J Korean Acad Nurs > v.44(1) > 1003043

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Kim, Jeong, and Kang: Identification of Subgroups with Lower Level of Stroke Knowledge Using Decision-tree Analysis
Original Article

Journal of Korean Academy of Nursing 2014; 44(1): 97-107.

Published online: 28 February 2014

DOI: https://doi.org/10.4040/jkan.2014.44.1.97

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

Hyun Kyung Kim1, Seok Hee Jeong1, Hyun Cheol Kang2

1College of Nursing, Research Institute of Nursing Science, Chonbuk National University, Jeonju, Korea.

2Department of Informational Statistics, Hoseo University, Asan, Korea.

Address reprint requests to: Jeong, Seok Hee. College of Nursing, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju 561-756, Korea. Tel: +82-63-270-3117, Fax: +82-63-270-3127, awesomeprof@jbnu.ac.kr

Received 31 October 2013       Revised 13 November 2013       Accepted 27 January 2014

© 2014 Korean Society of Nursing Science

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

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: Stroke, Health knowledge, Decision trees

Figures and Tables

Figure 1
Decision-tree model to identify the subgroups with lower levels of knowledge of risk factors for stroke.
jkan-44-97-g001
Figure 2
Decision-tree model to identify the subgroups with lower levels of knowledge of warning signs for stroke.
jkan-44-97-g002
Figure 3
Decision-tree model to identify the subgroups with lower levels of knowledge of first action for stroke.
jkan-44-97-g003
Table 1
Characteristics of Participants (N=990)
jkan-44-97-i001

*Missing data were not included.

Table 2
Knowledge of Risk Factors, Warning Signs, and First Action for Stroke (N=990)
jkan-44-97-i002

Notes

This paper was supported by research funds of Chonbuk National University in 2009.

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