Skip to main content

Table 7 Key determinates hospital care-seeking behaviour of patients with private insurance cover (including states)

From: Selection of private or public hospital care: examining the care-seeking behaviour of patients with private health insurance

Factors (reference category)

Beta

Wald

S.E.

P-value

Odds ratio

Self- assesses health (Poor)

 Excellent

.199

.134

.545

.715

1.220

 Very good

−.218

.229

.455

.633

0.804

 Good

.031

.008

.420

.929

1.038

 Fair

−.293

.471

.426

.492

0.746

Household disposable income (High)

 Low income

.394

1.661

.306

.197

1.483

 Lower-middle income

.661

5.773

.275

.016

1.937

 Higher-middle income

−.314

1.315

.274

.251

0.730

BMI (BMI= > 30)

 BMI < =18.5

.739

2.950

.430

.086

2.094

 BMI 18.6–24.9

−.024

.009

.249

.923

0.976

 BMI 25.29.9

−.353

1.980

.251

.159

0.702

Age (Age > 65)

 Age < 45

.768

6.258

.307

.012

2.155

 Age 45–65

.189

.411

.296

.521

1.209

Type of health cover (Both)

 Hospital cover only

.310

1.180

.286

.277

1.364

 Extra cover only

4.098

8.360

.589

.000

6.204

Physical activity (> 3 times a week)

  < once a week

.126

.249

.252

.618

1.134

 1–3 times a week

−.159

.476

.230

.490

0.853

Financial risk-taking attitude (Never)

 Substantial risks

.867

1.605

.685

.205

2.381

 Above average risks

−1.76

4.848

.801

.028

0.171

 Average risks

−.196

.422

.302

.516

0.822

 Not willing

−.095

.108

.290

.742

0.909

Other compounding variables

 Born outside Australia (In Australia)

−.469

3.213

.262

.073

0.626

 Female (Male)

.136

.420

.210

.517

1.145

 No long-term health condition (Yes)

.315

1.770

.237

.183

1.370

 Not a full-time student (Full-time student)

−.615

2.552

.385

.110

0.541

 Currently not married (Married)

.216

1.124

.204

.289

1.241

 Rural (Urban)

−.128

.201

.285

.654

0.880

 Education more than High school (Otherwise)

−.459

4.537

.215

.033

0.632

 Hospital doctor visit (Otherwise)

−.556

7.830

.199

.005

0.574

 Specialist doctor visits (Otherwise)

1.238

34.843

.210

.000

3.450

State (Capital Territory)

 New South Wales

−1.01

4.874

.455

.027

0.366

 Victoria

−1.46

9.572

.474

.002

0.231

 Queensland

−1.31

7.490

.479

.006

0.270

 South Australia

−.392

.592

.510

.441

0.675

 Western Australia

−.940

3.538

.500

.060

0.390

 Tasmania

−1.46

3.550

.780

.060

0.230

 Northern Territory

 0.468

.248

.940

.619

1.596

 Constant

−.358

.187

.828

0.076

0.699

 

Chi-sq

P-value

R-sq

 Omnibus test model coefficients

272.462

0.000

 

 Hosmer & Lemeshow

10.724

0.218

 

 -2 Log likelihooda

771.135

  

 Cox & Snell

  

0.24

 Nagelkerke

  

0.37

  1. Note: Data from Wave 13. Bootstrap standard errors and p-values. Results are based on 1000 bootstrap samples. Reference category presented in the parenthesis. Dependent variable hospital admission type = 1 if public patient in a public hospital and 0 otherwise
  2. a estimation terminated at iteration number 0.5 because parameter estimates changed by less than 0.001
Back to article page

BMC Health Services Research

ISSN: 1472-6963

Contact us