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Table 5 Overall performance of full logistic multivariate regression models (n = 246)

From: Prediction of healthcare utilization following an episode of physical therapy for musculoskeletal pain

Dependent variable Any care Opioids Injection Surgery Diagnostic tests or imaging Emergency room
Complete Case
 Block 1
Demographic, Clinical and Comorbidity
.258** .274** .292** .226* .250* .400**
 Block 2
OSPRO-YF (10 items)
OSPRO-ROS (10 items)
.267 .294 .293 .234 .253 .404
 Block 3
OSPRO-YF (+ 7 items)
OSPRO-ROS (+ 13 items)
.275 .296 .315 .259 .271 .457
 Block 4
4-week change
(Pain, Disability, OSPRO-YF)
.337* .424** .353 .426** .340* .560*
Inverse Probability of Attrition Weighted
 Block 1
Demographic, Clinical and Comorbidity
.306** .294** .313** .236 .304** .430**
 Block 2
OSPRO-YF (10 items)
OSPRO-ROS (10 items)
.314 .317 .317 .250 .305 .435
 Block 3
OSPRO-YF (+ 7 items)
OSPRO-ROS (+ 13 items)
.321 .321 .334 .284 .321 .473
 Block 4
4-week change
(Pain, Disability, OSPRO-YF)
.382* .448** .373 .464** .389* .611*
  1. All values are variance explained (pseudo-R2); Health care utilization (dependent) variables refer to utilization during the follow-up period, whereas independent variables refer to measurements taken before the follow-up period
  2. *p < 0.05, **p < 0.01