Can't surf, won't surf: The digital divide in mental health

Figures & data

Table I. Descriptive statistics of the study sample.

	Psychosis type
	Non-psychosis diagnosis	EI	Normal CMHT
Variable	(N  =  21)	(N  =  51)	(N  =  49)	Total
Age, mean (standard deviation)	41.76 (8.40)	26.04 (5.33)	43.92 (9.24)	36.01 (11.46, range18–65)
Duration of illness, mean (standard deviation)	9.12 (11.96)	2.75 (2.35)	17.96 (9.54)	9.95 (10.51, range 0–39)
Gender, female N (%)	11 (52.4)	13 (25.5)	16 (32.7)	40 (33.1)
Ethnicity, N (%)
BME	3 (14.3)	39 (76.5)	24 (49.0)	66 (54.5)
White	18 (85.7)	12 (23.5)	25 (51.0)	55 (45.5)

Figure 1.  Percent of total sample who were familiar with, had access to, had confidence in using and desired to use the named devices more frequently, as well as the location and frequency of their use.

Table II. Logistic regression results.

	Mobile phone	Computer	iPhone	BlackBerry
Familiarity	–	–	AGE: wald = 5.59*	AGE: wald = 5.18*
Access	–	AGE: wald = 4.52*	AGE: wald = 4.76*	AGE: wald = 9.38**
Confidence	GENDER: wald = 3.81*	AGE: wald = 9.95**	–	–
Desire to increase use	–	PSYCHOSIS GROUPING: wald = 3.90*	–	–
Frequency	AGE: wald = 7.05**	–	–	–
Location	–	BME: wald = 8.64**	–	–

Note: The significant predictor variables are capitalised.

*p  <  0.05.

**p  <  0.01.