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Table 3 Multivariate logistic regression

From: Healthcare disparities among orthopedic trauma patients in the USA: socio-demographic factors influence the management of calcaneus fractures

 

Odds ratio

95% confidence interval

p

Age

0.994

0.992

0.997

< 0.001

Female

0.692

0.643

0.745

< 0.001

Payer, (base—Medicare)

 Medicaid

1.352

1.172

1.559

< 0.001

 Private payer

1.746

1.565

1.949

< 0.001

 Self-payer

1.224

1.064

1.409

0.005

 No charge

1.688

1.296

2.199

< 0.001

 Other

1.717

1.509

1.955

< 0.001

Race, (base—White)

 African-American

0.807

0.714

0.911

0.001

 Hispanic

0.895

0.806

0.993

0.038

 Asian

1.296

1.043

1.611

0.019

 Native American

0.867

0.566

1.329

0.514

 Other

1.160

0.977

1.376

0.089

Income (base—0–24th percentile)

 25–49th percentile

1.106

1.013

1.208

0.025

 50–74th percentile

1.137

1.039

1.245

0.005

 75–100th percentile

1.233

1.121

1.356

< 0.001

Teaching hospital/location (base—urban non-teaching)

 Rural

0.657

0.572

0.754

< 0.001

 Urban teaching

0.979

0.913

1.050

0.565

Hospital size (base—small)

 Medium

0.874

0.778

0.982

0.024

 Large

0.919

0.828

1.020

0.114

Comorbidities

 Diabetes, uncomplicated

0.802

0.708

0.909

0.001

 Diabetes, with chronic complications

0.536

0.426

0.676

< 0.001

 AIDS

0.585

0.243

1.408

0.232

 Drug abuse

0.567

0.488

0.660

< 0.001

 Peripheral vascular

0.401

0.297

0.540

< 0.001

 Alcohol abuse

0.414

0.361

0.476

< 0.001

 Psychosis

0.728

0.612

0.866

< 0.001

 Depression

0.961

0.847

1.091

0.547

 Obesity

0.976

0.832

1.146

0.775