Determinants of the intention to use e-Health by community dwelling older people

Table 4 Nested regression analysis to explain intention to use e-Health (n = 834)

	Block 1	Block 2	Block 3	Block 4	Final model
R²	.06	.32	.40	.40	.41
Change in R²		.26	.08	.00	.01
Sign of R²change	<.001	<.001	<.001	.463	.001
Independent variables added	Beta	Beta	Beta	Beta	Beta
Age
- 57–61 (ref)
- 62-66
- 67-71
- 72-77		-.06*
Sex
- Male (ref)
- Female	-.14***	-.06**	-.05*	-.05*
Educational level
- High (ref)
- Medium	.	-.08**
- Low	-.20***	-.16***	-.06*	-.06*	.
Performance expectancy		.52***	.24***	.24***	.24***
Effort expectancy			.42***	.42***	.35***
Social influence
Self-efficacy					.01**

Dependent variable “intention to use e-Health” (1–5). Betas with a p value > = .10 are omitted.
*p value < .10.
**p value < .05.
***p value < .001.

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