Table 2.

Results of multiple hierarchical regression analysis predicting acceptance of VC.

Predictor	β	B	T	R 2	Δ R2	p value
Step 1: Socio-demographic data				0.001	0.001
Sex: male	−0.07	−0.07	−0.88			0.381
Age	0.00	0.05	0.86			0.390
Educational level	0.01	0.01	0.31			0.754
Occupational status	−0.07	−0.09	−1.90			0.058
Same GP > 5 years	−0.08	−0.08	−0.97			0.335
Step 2: Medical data				0.039	0.038
Mental disorder	0.16	0.16	1.10			0.274
No chronic condition	0.14	0.14	1.31			0.191
No regular medication	−0.29	−0.29	−2.79			0.006
PHQ-2	0.06	0.07	1.28			0.201
GAD-2	−0.08	−0.09	−1.72			0.086
Step 3: ICT-related data				0.159	0.120
Computer proficiency	0.12	0.10	1.67			0.095
Mobile phone proficiency	0.03	0.02	0.40			0.688
Daily internet usage time	0.00	0.00	0.01			0.989
No prior use of video conferencing	−0.09	−0.09	−0.88			0.380
Knowledge about digital health care solutions	0.00	0.00	0.01			0.991
No prior use of VC	−0.33	−0.33	−1.44			0.152
Important to know GP in person	−0.24	−0.24	−1.79			0.075
Step 4: UTAUT predictors				0.528	0.369
Effort expectancy	0.21	0.18	4.05			<0.001
Performance expectancy	0.23	0.24	5.44			<0.001
Social influence	0.49	0.45	9.63			<0.001

Note: N = 371. In Steps 2, 3 and 4 only the newly included variables are presented. β: standardized coefficient beta; B: unstandardized coefficient beta; R²: determination coefficient; ΔR²: Changes in R². GP: general practitioner; VC: video consultation; PHQ-2: Patient Health Questionnaire-2; GAD-2: generalized anxiety disorder-2; ICT: information and communications technology; UTAUT: unified theory of acceptance and use of technology.