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Table 4 Multivariate regression analysis on costs and QALY gains

From: The impact of preoperative patient characteristics on the cost-effectiveness of total hip replacement: a cohort study

Dependent variable: QALYs (U.K. preference-weighted)

Coefficient

Beta

SE

p-value

Constant

43.810

 

3.130

.000

Preoperative WOMAC sum

-.153

-.396

.018

.000

ICD F32 - Depression

−3.266

-.096

1.597

.042

G47 - Sleep disorder

−4.843

-.109

2.327

.038

Reflux

−2.645

-.094

1.337

.049

Major hip distortion

−3.770

-.140

1.290

.004

OPS 8-930/1 - Monitoring

2.709

.107

1.334

.043

Age

-.331

-.466

.034

.000

n = 271 Adj. R2 = .418

    

Dependent variable: QALYs (U.K. preference-weighted)

Coefficient

Beta

SE

p-value

Constant

42.268

 

2.240

.000

Preoperative EQ-5D utility score (U.K. preference-weighted)

−15.316

-.658

.805

.000

ICD F32 - Depression

−2.673

-.078

1.176

.024

Reflux

−1.829

-.065

.970

.060

Major hip distortion

−3.205

-.119

.946

.001

Age

-.318

-.447

.026

.000

ASA 2 (compared to ASA 1)

-.846

-.060

.498

.090

n = 271 Adj. R2 = .685

    

Dependent variable: inpatient costs

Coefficient

Beta

SE

p-value

Constant

6,338

 

845

.000

Preoperative EQ-5D utility score (U.K. preference-weighted)

−426

-.109

177

.017

ICD J45 - Asthma

−508

-.085

274

.065

Number of secondary diagnoses

103

.242

25

.000

OPS 5–782 - Excision/resection of diseased bone

1,435

.147

468

.002

OPS 5–791 - Open reposition of fracture

1,699

.194

401

.000

OPS 5–821 - Revision

1,811

.185

462

.000

OPS 8-930/1 - Monitoring

−686

-.162

233

.004

Number of operations and procedures

461

.409

63

.000

Age

−11

-.098

5

.038

BMI

25

.105

10

.018

Preoperative hemoglobin

−83

-.081

47

.079

n = 271 Adj. R2 = .502