Table 3 Accessibility of health service utilization in 1-year period
Older population’s and their households’ characteristics (Independent variables) | Binary logistic regression model 1: Accessibility to health service utilization (in 1-year period) | |
|---|---|---|
Nagelkerke R2 = 0.745 | ||
Odd Ratio (OR) | P-Value | |
Predisposing characteristics Gender | ||
♣ Male | ||
♣ Female | 3.966 | 0.127 |
Age | ||
♣ Young old (60–69) | ||
♣ Middle-old (70–79) ♣ Oldest-old (more than 80) | 4.393 6.396 | 0.03* 0.01* |
Level of education | ||
♣ No formal education | ||
♣ Primary school ♣ Secondary school ♣ College/ university degree | 0.394 0.867 0.739 | 0.464 0.919 0.853 |
Household size | ||
♣ Small (1–4 people) | ||
♣ Large (more than 5 people) | 4.186 | 0.092 |
Occupation | ||
♣ Retired government official | ||
♣ Self-employed or business owner ♣ Freelancer ♣ Others | 3.348 0.639 19 | 0.061 0.643 0.01* |
Enabling characteristics Income level | ||
♣ Less than or equal to $125 | ||
♣ More than $125 to $280 ♣ More than $280 to $500 ♣ More than $500 | 1.705 2.690 4.541 | 0.446 0.296 0.128 |
Means of transportation | ||
♣ Without a vehicle | ||
♣ Motorcycle ♣ Car | 0.361 0.401 | 0.383 0.490 |
Travelling time to hospital | ||
♣ Less than 30 minutes | ||
♣ Between 30 to 60 minutes | 0.957 | 0.925 |
Need-based characteristics Presence of older persons | ||
♣ One | ||
♣ Two or more | 29.702 | 0.001* |
Presence of chronic conditions | ||
♣ No | ||
♣ Yes | 14.363 | 0.001* |