Table 4.

Results of multiple regression with the value of PHR for communicating with the doctor’s office as the dependent variable.

Modela	Unstandardized coefficients		Standardized coefficients	t	Sig.
	B	Std. Error	Beta
Constant	-7.71	1.08		-7.13	.000
User versus Rejecterb	-0.32	0.27	-.05	-1.18	.24
User versus Non-Adopter	-0.04	0.30	-.01	-0.12	.90
Rejecter versus Non-Adopter	0.28	0.35	.03	0.81	.42
Age	0.02	0.01	.08	2.19	.03c
Genderd	0.30	0.21	.05	1.42	.16
Raced	0.07	0.32	.01	0.20	.84
Educatione	-0.06	0.23	-.01	-0.25	.80
Income	-0.02	0.25	-.004	-0.10	.92
Marital status	0.11	0.23	.02	0.50	.62
Rating of overall health	0.07	0.11	.02	0.64	.52
Self-reported comorbidities	0.06	0.06	.04	1.05	.29
Technology use	-0.002	0.06	-.002	-0.04	.97
Computer use	1.22	0.60	.07	2.03	.04c
PIIT	0.13	0.12	.04	1.04	.30
Privacy and security	0.40	0.12	.11	3.25	.001f
Ease of use	0.49	0.14	.14	3.44	.001f
Relative advantage	1.87	0.14	.51	13.07	.000g
Observability	0.13	0.10	.04	1.35	.18
Trialability	0.31	0.11	.09	2.76	.006c

^a R ² = 0.51; Adjusted R ² = 0.49; R ²∆ = 0.51; F∆ = 29.92; df1 = 18, df2 = 520; Sig. F change = .000.

^b The model contains the three pair-wise comparisons for the three groups.

^c P < .05.

^d Gender is coded as Female = 1, Male = 0; Race is coded as Caucasian = 1, Other = 0.

^e For definitions of all other variables, refer to Tables 1-3.

^f P < .01.

^g P < .001.