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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