Table 4 The result of multinomial logistic regression of health insurance ownership among female workers in Indonesia, 2019 (n = 7,943)
From: Health insurance ownership among female workers in Indonesia: does socioeconomic status matter?
Predictors | NHI | Others | ||||
|---|---|---|---|---|---|---|
AOR | 95% CI | AOR | 95% CI | |||
Lower Bound | Upper Bound | Lower Bound | Upper Bound | |||
Socioeconomic: Poorest | *0.735 | 0.733 | 0.737 | *0.254 | 0.252 | 0.256 |
Socioeconomic: Poorer | *0.939 | 0.937 | 0.942 | *0.495 | 0.492 | 0.498 |
Socioeconomic: Middle | *0.833 | 0.831 | 0.835 | *0.320 | 0.317 | 0.322 |
Socioeconomic: Richer | *1.028 | 1.025 | 1.030 | *0.583 | 0.579 | 0.587 |
Socioeconomic: Richest | - | - | - | - | - | - |
Residence: Urban | *1.750 | 1.747 | 1.754 | *1.658 | 1.650 | 1.666 |
Residence: Rural | - | - | - | - | - | - |
Age: ≤ 17 | *0.250 | 0.248 | 0.252 | *2.406 | 2.353 | 2.460 |
Age: 18—64 | *0.809 | 0.806 | 0.812 | *1.358 | 1.342 | 1.374 |
Age: ≥ 65 | - | - | - | - | - | - |
Marital: Never married | *0.887 | 0.884 | 0.889 | *0.229 | 0.227 | 0.231 |
Marital: Married | 0.998 | 0.996 | 1.000 | *0.490 | 0.487 | 0.492 |
Marital: Divorced/Widowed | - | - | - | - | - | - |
Education: No education | *0.871 | 0.867 | 0.874 | *0.238 | 0.235 | 0.242 |
Education: Primary | *0.924 | 0.921 | 0.928 | *0.579 | 0.574 | 0.583 |
Education: Secondary | *1.035 | 1.031 | 1.038 | *1.097 | 1.089 | 1.105 |
Education: Higher | - | - | - | - | - | - |
Occupation: Civil servant/Police/ Army | *48.197 | 47.360 | 49.049 | *12.578 | 12.317 | 12.845 |
Occupation: Private sector | *1.462 | 1.458 | 1.467 | *1.300 | 1.290 | 1.311 |
Occupation: Entrepreneur | *0.777 | 0.775 | 0.779 | *0.965 | 0.959 | 0.971 |
Occupation: Farmer/Fisherman/ Labor | *0.886 | 0.884 | 0.888 | *0.693 | 0.689 | 0.698 |
Occupation: Others | - | - | - | - | - | - |