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Table 3 The binary logistic regression analysis results of the associated factors of patients who received lenvatinib

From: How the National Health Insurance Coverage policy changed the use of lenvatinib for adult patients with advanced hepatocellular carcinoma: a retrospective cohort analysis with real world big data

Patient characteristics

P

OR

95% CI

Gender

Female

<0.001

0.743

0.642

0.860

Male

 

Ref

  

Age

≥ 18, < 35

<0.001

2.522

1.504

4.229

≥ 35, < 50

0.019

1.582

1.079

2.318

≥ 50, < 65

0.066

1.388

0.978

1.971

≥ 65, < 80

0.601

1.095

0.779

1.540

≥ 80

 

Ref

  

Hospital level

Below the tertiary level

<0.001

0.252

0.118

0.538

The tertiary and above hospital

 

Ref

  

Type of insurance system

UEBMI

0.187

2.119

0.695

6.464

URRBMI

<0.001

0.755

0.651

0.875

Uninsured

 

Ref

  

Occupation

Administrative clerk

0.195

0.477

0.155

1.463

Staff without fixed jobs

0.010

0.661

0.482

0.907

Retiree

0.177

0.455

0.145

1.427

Freeman

0.301

0.845

0.613

1.163

Peasants

 

Ref

  

Location of residence

Rural

0.023

0.722

0.544

0.957

Urban

 

Ref

  

Division of provinces and cities

Other areas of Jiangsu Province except Nanjing area

0.644

1.039

0.884

1.222

Outside of Jiangsu Province

0.978

0.997

0.816

1.218

Nanjing area

 

Ref

  

Implementation of the NHIC policy

After

<0.001

2.720

2.396

3.088

Before

 

Ref

 Â