Table 2 The result of binary logistic regression of hospital utilization in disadvantaged areas in Indonesia in 2018 (n = 42,644)

Residence: Urban

< 0.001

1.045

1.032

1.058

Residence: Rural

-

-

-

-

Age

< 0.001

1.022

1.021

1.022

Gender: Male

-

-

-

-

Gender: Female

< 0.001

1.656

1.639

1.673

Marital status: Never in union

< 0.001

0.636

0.621

0.652

Marital status: Married/living with partner

< 0.001

1.080

1.062

1.099

Marital status: Divorced/widowed

-

-

-

-

Education: No formal education

-

-

-

-

Education: Primary

< 0.001

1.589

1.564

1.615

Education: Secondary

< 0.001

2.207

2.167

2.248

Education: Higher

< 0.001

2.459

2.406

2.513

Employment: Unemployed

-

-

-

-

Employment: Employed

< 0.001

0.748

0.740

0.757

Wealth: Poorest

-

-

-

-

Wealth: Poorer

< 0.001

1.079

1.063

1.095

Wealth: Middle

< 0.001

1.538

1.517

1.560

Wealth: Richer

< 0.001

1.323

1.303

1.344

Wealth: Richest

< 0.001

1.572

1.549

1.596

Insurance: Uninsured

-

-

-

-

Insurance: Government-run

< 0.001

1.802

1.780

1.825

Insurance: Private-run

< 0.001

1.507

1.423

1.595

Insurance: Government-run and private-run

< 0.001

2.137

1.963

2.326

Travel time: ≤ 1 h

< 0.001

2.510

2.483

2.537

Travel time: > 1 h

-

-

-

-