A Narrative Analysis by Text Mining Technique Using KeyGraph -Similarity and difference of a view of oral health and oral risk cognition between Japanese living people and dentists-

被引:1
|
作者
Kobayashi, Fukiko [1 ]
Nara, Yumiko [1 ]
机构
[1] Open Univ Japan, Dept Living & Welf, Grad Sch, Program Human Life & Hlth Sci, Chiba, Japan
关键词
KeyGraph; text mining; qualitative research; oral health; risk management; living people; dentists; QUALITATIVE RESEARCH; RIGOR;
D O I
10.1109/ICDMW.2014.86
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The main stakeholders in oral health management process are living people (seikatsu-sya) and dentists, the mutual awareness and understanding of them are supposed to be the indispensable basements to improve the quality of oral health treatments for both of living people and dentists. This study aims to examine the similarity and difference of a view of oral health and oral risk cognition between the main stakeholders with interview data in order to obtain a clue for generating their mutual awareness and understanding. Focusing on the method of narrative analysis, the authors discuss on the specifically process, the result, and the significance in this study. It was conducted interviews with five living people and five dentists analyzed their narratives by KeyGraph which is a text mining tool. And then we arranged key concepts by KJ method, or an Affinity Diagram, which is a brainstorming tool which organizes a large number of ideas into their natural relationships. Through this analysis, the authors arranged the similarity and difference between Japanese living people's view of oral health and oral risk cognition, and those of dentists in a table. It is observed from the table that oral risk cognitions between Japanese living people and dentists have some difference, on the other side Japanese living people's superordinate view of oral health and that of dentists are almost the same. This study revealed that it is desirable to apply the collaboration of KeyGraph and KJ Method; such as the mechanical processing by the text-mining and the brainstorming.
引用
收藏
页码:455 / 461
页数:7
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    Kobayashi, Fukiko
    Nara, Yumiko
    INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS, 2016, 10 (03): : 249 - 261