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- Title
Patterns of elderly people's long-term care risks and determinants: A methodological study in a Japanese city.
- Authors
Kanae Sato (Osaki); Junyi Zhang; Kana Kazawa; Michiko Moriyama
- Abstract
Aims: Existing analysis methods about the relationships between the long-term care (LTC) risks and determinants of the elderly often experience issues of independence, linearity and homogeneity. Such methodological issues are particularly problematic when the relationships are complicated, making the prioritization of LTC interventions to groups with different care needs difficult. To overcome these shortcomings, this study made an initial attempt to identify representative patterns of elderly people's LTC risks associated with different determinants, from a methodological perspective. Methods: A data mining approach (Exhaustive CHAID) is applied to data collected from 26 357 elderly people in a Japanese city in 2016. It can automatically segment the samples into a tree structure that accommodates nonlinear, heterogeneous and sequential relationships, without caring about issues of independence across determinants. Results: In total, 16 representative patterns are derived, among which four patterns are considerably riskier (the unhealthy percentage >10.0%), and five are moderately riskier (the unhealthy percentage is 5.0%-10.0%). Age is the most important determinant, followed by locomotor function, cognitive function, homebound, gender and residential location, in that order, which all show heterogeneous associations with the risk patterns. Conclusions: The Exhaustive CHAID is suitable to derive scientifically-sound insights into an early screening of risk factors for pre-frail groups and tailor-made preventive LTC interventions for frail groups in a flexible and objective way. Geriatr Gerontol Int 2020; 20: 674-679.
- Subjects
JAPAN; AGE distribution; COGNITION; HEALTH status indicators; HUMAN locomotion; LONG-term health care; RESEARCH methodology; MEDICAL screening; META-analysis; METROPOLITAN areas; NEEDS assessment; POPULATION geography; PREVENTIVE health services; RISK assessment; SEX distribution; DATA mining; RESIDENTIAL patterns; INDEPENDENT living; INDIVIDUALIZED medicine; HEALTH &; social status; OLD age
- Publication
Geriatrics & Gerontology International, 2020, Vol 20, Issue 7, p674
- ISSN
1444-1586
- Publication type
Article
- DOI
10.1111/ggi.13936