Predictors of Long-Term Care Expenditures in Japan
Author Information
Author(s): Olivares-Tirado Pedro, Tamiya Nanako, Kashiwagi Masayo, Kashiwagi Kimikazu
Primary Institution: University of Tsukuba
Hypothesis
What factors predict the highest long-term care expenditures among the elderly in Japan?
Conclusion
Disability status, increased utilization of benefits, and institutional care are the strongest predictors of high long-term care expenditures.
Supporting Evidence
- Age and disability status are significant predictors of long-term care expenditures.
- An increase in the utilization rate of benefits is strongly associated with higher expenditures.
- Facility services utilization significantly interacts with care needs level to predict expenditures.
Takeaway
This study found that older people who need more help and use more services cost more for long-term care in Japan.
Methodology
Binary logistic regression was used to analyze predictors of high long-term care expenditures based on data from the LTC insurer of City A.
Potential Biases
Potential information bias due to lack of data on supply factors and informal care.
Limitations
The study did not account for supply factors or the influence of informal caregivers on expenditures.
Participant Demographics
Mean age of 83 years, 73% female, with 74% in mid-income level.
Statistical Information
P-Value
p<0.0001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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