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Table 4 Steps to prediction model for the course of complaints

From: Exploring physiotherapists’ personality traits that may influence treatment outcome in patients with chronic diseases: a cohort study

  Coef. S.E. Z P 95 % CI ICC
Model 0
 Intercept   −3.66 0.19    −4.02 – -3.30  
 Total Model        
 Var. Th. level   0.47 0.31    0.13–1.73 0.076
 Var. Pt. level   5.75 0.43    4.96–6.66  
Model I
Patients
  Gender −0.47 0.25 −1.88 0.060 −0.96–0.02  
  Age 0.01 0.01 1.76 0.079 −0.002–0.03  
 Intercept   −2.90 0.44    −3.76 – -2.03  
 Total Model        
 Var. Th. level   0.41 0.29    0.11–1.63 0.067
 Var. Pt. level   5.68 0.43    4.90–6.58  
Model II
Patients
  Gender −0.48 0.25 −1.94 0.053 −0.97–0.006  
  Age 0.01 0.01 1.63 0.103 −0.003–0.03  
Therapists       
  Neuroticism 0.59 0.32 1.81 0.070 −0.048–1.22  
 Intercept   −4.27 0.88    −5.99 – -2.56  
 Total Model       
 Var. Th. level 0.36 0.26    0.09–1.46 0.060
 Var. Pt. level 5.65 0.42    4.88–6.54  
Model III
Patients
  Gender −0.43 0.25 −1.66 0.098 −0.92–0.08  
  Age 0.01 0.01 1.11 0.269 −0.01–0.03  
Therapists       
  Neuroticism 0.71 0.29 2.47 0.014* 0.15–1.28  
  Gender 0.72 0.32 2.21 0.027* 0.08–1.35  
  Life events −0.54 0.32 −1.68 0.092 −1.16–0.09  
 Intercept   −5.42 0.94    −7.27 − -3.57  
 Total Model        
 Var. Th. level   0.12 0.19    0.01–2.57 0.021
 Var. Pt. level   5.60 0.43    4.82–6.52  
  1. *Significant variables ≤0.05, CI convenience interval, coef. Regression coefficient, ICC Intraclass Correlation Coefficient, P significant level, Pt Patient, R2 percentage of variance explained by model, SE. standard error, Th Therapist, Z z-score