The Analysis of Interview Data Toward The Early Detection of Dementia

抄録

Generally, dementia is defined as a general term for sustainable decline of memory, language and other thinking abilities, therefore, the early detection is important. However, it is often failed because it is difficult to articulate dementia problem verbally. In this paper, from the perspective of narrative approach, I analyzed semi-structured interview data stored in DIPEx-Japan, a database of individual experiences of health and illness, and discussed the difficulty of early detection of dementia. I concluded the importance of narratives without specific events because they are less influenced by cognitive bias.