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Table 3 Factors associated with LOS by multiple linear regression analysis

From: Assessment of hospital length of stay and direct costs of type 2 diabetes in Hubei Province, China

Factors

Reference group

ß

Std. Error

95% C.I

P-value

Lower

Upper

Gender

 Female

Male

0.165

0.319

−0.459

0.790

0.604

Age group

 30~

20~

1.339

1.761

−2.112

4.790

0.447

 40~

 

2.091

1.612

−1.069

5.252

0.195

 50~

 

0.591

1.616

−2.577

3.758

0.715

 60~

 

1.325

1.642

−1.893

4.543

0.420

 70~

 

2.856

1.645

−0.368

6.081

0.083

 80~

 

5.161

1.671

1.887

8.435

0.002

 90~

 

8.328

2.157

4.101

12.555

0.001

Type of medical insurance

 Urban Employee Basic Medical Insurance

Urban Resident Basic Medical Insurance

−0.050

0.921

−1.856

1.756

0.957

 Other

 

2.541

1.486

−0.372

5.454

0.087

 Public expense

 

2.250

1.383

−0.460

4.961

0.104

 Private expense

 

1.489

0.919

−0.311

3.290

0.105

 NCMS

 

3.053

1.265

0.574

5.531

0.016

Occupation

 Labourer

Employee

0.118

0.577

−1.014

1.249

0.839

 Retired

 

0.843

0.483

−0.104

1.790

0.081

 Unemployed

 

0.506

0.471

−0.416

1.429

0.282

Mode of Admission

 Outpatient

Emergency

1.331

1.079

−0.784

3.445

0.217

 Other

 

0.348

1.507

−2.605

3.301

0.817

Complications

 Chronic complications

No complications

−1.678

0.548

−2.751

−0.605

0.002

 Acute + chronic complications

 

−2.475

0.753

−3.951

−0.998

0.001

  1. The occupation “student” was not included in the multiple linear regression analysis because the sample size was limited to 3