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Table 3 Results of survival analysis to identify the association between fragmented cancer care and five-year mortality

From: Does fragmented cancer care affect survival? Analysis of gastric cancer patients using national insurance claim data

Variables

Five-year mortality

Unadjusted

Adjusted†

HR

95% CI

P-value

HR

95% CI

P-value

Fragmented cancer care

 With

1.431

1.125

1.819

0.0035

1.310

1.023

1.677

0.0323

 Without

1.000

–

–

–

1.000

–

–

–

Sex

 Male

1.229

1.014

1.490

0.0360

1.250

1.026

1.523

0.0267

 Female

1.000

–

–

–

1.000

–

–

–

Age (Years)

  ≤ 49

1.000

–

–

–

1.000

–

–

–

 50–59

0.990

0.745

1.316

0.9458

0.798

0.598

1.066

0.1269

 60–69

1.137

0.868

1.488

0.3515

0.960

0.723

1.274

0.7756

 70–79

1.790

1.369

2.341

<.0001

1.421

1.069

1.890

0.0157

  ≥ 80

2.640

1.722

4.048

<.0001

2.305

1.456

3.651

0.0004

Type of insurance coverage

 Medical-Aid

1.492

1.006

2.212

0.0468

1.081

0.699

1.671

0.7274

 NHI, Self-employed

1.133

0.943

1.362

0.1834

1.141

0.945

1.377

0.1715

 NHI, Employee

1.000

–

–

–

1.000

–

–

–

Economic status

 Low

1.244

0.989

1.565

0.0622

1.099

0.858

1.406

0.4554

 Mid-low

0.992

0.775

1.271

0.9500

0.922

0.718

1.185

0.5264

 Mid-high

0.990

0.767

1.278

0.9382

0.850

0.656

1.100

0.2166

 High

1.000

–

–

–

1.000

–

–

–

Residence area

 Capital area

1.000

–

–

–

1.000

–

–

–

 Metropolitan

0.912

0.732

1.137

0.4143

1.055

0.773

1.442

0.7347

 Rural

0.986

0.806

1.208

0.8933

1.173

0.908

1.514

0.2222

Charlson Comorbidity Index

  ≥ 2

1.000

–

–

–

1.000

–

–

–

 3–5

1.702

1.412

2.050

<.0001

1.487

1.225

1.805

<.0001

  > 5

2.538

1.829

3.522

<.0001

1.777

1.262

2.502

0.0010

Year of diagnosis

0.950

0.915

0.987

0.0081

1.011

0.972

1.051

0.5951

Type of treatment within 1 year after diagnosis

 Surgery and chemotherapy or radiotherapy

1.000

–

–

–

1.000

–

–

–

 Only surgery

0.170

0.138

0.209

<.0001

0.163

0.132

0.201

<.0001

 Chemotherapy or radiotherapy

4.009

3.214

5.000

<.0001

3.710

2.952

4.663

<.0001

Type of most visited medical institution within 1 month

 Tertiary hospital

1.000

–

–

–

1.000

–

–

–

 General hospital

1.108

0.976

1.414

0.0892

1.056

0.871

1.281

0.5796

 Other

0.434

0.139

1.351

0.1497

0.345

0.109

1.091

0.0700

Location of most visited medical institution within 1 month

 Capital area

1.000

–

–

–

1.000

–

–

–

 Metropolitan

0.897

0.730

1.102

0.2998

0.957

0.713

1.283

0.7669

 Rural

1.043

0.810

1.343

0.7461

0.861

0.630

1.176

0.3457

  1. † The results of survival analysis using the Cox proportional hazard model was conducted after controlling for the covariates of: sex, age, type of insurance coverage, economic status, residence area, Charlson Comorbidity Index, year of diagnosis, type of treatment within the first year, and type or location of the medical institution which the patient visited within 1 month after diagnosis and with the highest portion of medical expenses.
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BMC Health Services Research

ISSN: 1472-6963

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