Research Article

Estimating Long-Term Care Costs among Thai Elderly: A Phichit Province Case Study

Table 2

Study variables for logistic regression.

Value label

Dependent variables
Daily supplies0 = did not pay, 1 = did pay
Day/night care cost0 = did not pay, 1 = did pay
Formal care0 = did not pay, 1 = did pay
Home renovation0 = did not pay, 1 = did pay
Informal care (opportunity cost)0 = did not pay, 1 = did pay
Medical devices0 = did not pay, 1 = did pay

Independent variables
AgeContinuous
Area0 = rural, 1 = urban
Annual income ≥ USD 4,3540 = no, 1 = yes
Chronic diseases0 = no, 1 = present at least one of eight chronic diseases (hypertension, diabetes, stroke, heart, dementia, osteoarthritis, paralysis, or hypercholesterol)
Disability0 = no, 1 = present at least one of ten disabilities
Education0 = any education, 1 = no education
Gender0 = male, 1 = female
Living status0 = living with other, 1 = living alone
Marital status0 = married, 1 = single; single includes never married, divorced, widowed, and married but separated
Working status0 = did not work, 1 = work