BMC Health Services Research

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

*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

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