Table 2 Results of logistic regression analysis for fragmented cancer care

 Male

0.972

0.765

1.236

0.8194

1.135

0.728

1.196

0.5832

 Female

1.000

–

–

–

1.000

–

–

–

  ≤ 49

1.000

–

–

–

1.000

–

–

–

 50–59

1.189

0.791

1.556

0.5477

1.036

0.730

1.470

0.8422

 60–69

1.186

0.743

1.449

0.8265

0.905

0.635

1.288

0.5788

 70–79

1.200

0.778

1.590

0.5592

0.886

0.605

1.299

0.5357

  ≥ 80

1.388

0.716

2.593

0.3452

0.971

0.488

1.930

0.9322

 Medical-Aid

0.927

0.511

1.681

0.8023

1.064

0.553

2.046

0.8527

 NHI, Self-employed

0.842

0.659

1.076

0.1684

0.772

0.598

0.995

0.0457

 NHI, Employee

1.000

–

–

–

1.000

–

–

–

 Low

0.750

0.548

1.025

0.0709

0.670

0.475

0.945

0.0226

 Mid-low

1.039

0.771

1.400

0.8014

1.033

0.759

1.407

0.8344

 Mid-high

0.834

0.604

1.153

0.2720

0.783

0.560

1.093

0.1506

 High

1.000

–

–

–

1.000

–

–

–

 Capital area

1.000

–

–

–

1.000

–

–

–

 Metropolitan

1.876

1.407

2.500

<.0001

2.031

1.373

3.003

0.0004

 Rural

1.728

1.311

2.278

0.0001

1.976

1.407

2.776

<.0001

  ≥ 2

1.000

–

–

–

1.000

–

–

–

 3–5

1.589

1.247

2.026

0.0002

1.623

1.256

2.097

0.0002

  > 5

1.727

1.058

2.820

0.0289

1.868

1.114

3.133

0.0179

 Year of diagnosis

1.015

0.969

1.063

0.5302

1.023

0.975

1.074

0.3539

 Surgery and chemotherapy or radiotherapy

1.000

–

–

–

1.000

–

–

–

 Only surgery

0.946

0.720

1.244

0.6921

0.999

0.752

1.329

0.9969

 Chemotherapy or radiotherapy

2.044

1.307

3.194

0.0017

2.501

1.572

3.978

0.0001

 Tertiary hospital

1.000

–

–

–

1.000

–

–

–

 General hospital

1.323

1.037

1.686

0.0241

1.343

1.040

1.735

0.0238

 Other

7.204

3.716

13.970

<.0001

9.128

4.598

18.116

<.0001

 Capital area

1.000

–

–

–

1.000

–

–

–

 Metropolitan

1.389

1.075

1.794

0.0119

0.901

0.634

1.280

0.5598

 Rural

1.510

1.099

2.075

0.0111

0.980

0.665

1.444

0.9167