E-health literacy and associated factors among chronic patients in a low-income country: a cross-sectional survey

Table 2 Factors associated with eHealth literacy among chronic patients in UOGCSH

Independent Variable	eHealth literacy skill		COR (CI)	P-value	AOR (CI)	P-value
Educational Status	low	high		< 0.001		0.006
Primary education and below	52	23	1
Secondary education	84	37	0.99 (0.53, 1.86)	0.892	1.71 (0.74, 3.96)	0.214
Diploma and above	80	128	3.62 (2.06, 6.36)	< 0.001	3.48 (1.54, 7.87)	0.003
Occupation Type				0.037		0.019
Governmental job	69	81	1.85 (1.16, 2.95)	0.024	1.73 (1.11, 2.68)	0.006
Privet job	62	53	1.35 (0.82, 2.22)	0.058	1.02 (0.89, 1.67)	0.314
unemployed	85	54	1
Residence
urban	175	177	3.77 (1.88, 7.57)	< 0.001	1.37 (0.54, 3.49)	0.09
rural	41	11	1
Self-reported health status				< 0.001		< 0.001
bad	32	9	1
Not bad	66	39	2.10 (0.91, 4.86)	0.08	1.36 (0.45, 4.14)	0.058
good	118	140	4.23 (1.94, 9.19)	< 0.001	3.97 (1.38, 11.38)	0.01
Monthly income*				< 0.001		0.003
< 800	70	48	1
800–1500	40	22	0.80 (0.42, 1.52)	0.12	0.59 (0.22, 1.57)	0.12
1500–3500	68	31	0.67 (0.38, 1.17)	0.15	0.62 (0.24, 1.59)	0.08
3500–5500	28	37	1.93 (1.04, 3.56)	0.036	1.38 (0.52, 3.73)	0.042
> 5500	10	50	7.29 (3.37, 15.78)	< 0.001	4.44 (1.32, 14.86)	0.016
Frequency of internet use				< 0.001		0.06
Daily	88	102	4.78 (2.18, 10.45)	< 0.001	2.96 (1.08, 6.76)	0.042
Several days a week	92	71	3.22 (1.46, 7.10)	0.004	1.81 (0.71, 4.6)	0.086
One day and less than one day in a week	36	15	1
Knowledge
Good Knowledge	54	121	5.42 (3.53, 8.32)	< 0.001	3.12 (1.61, 5.3)	< 0.001
Poor knowledge	162	67	1
Attitude
Favorable Attitude	49	110	4.81 (3.12, 7.39)	< 0.001	2.94 (1.07, 3.52)	0.029
Unfavorable attitude	167	78	1
Computer literacy
High computer literacy	41	128	9.11 (5.76, 14.39)	< 0.001	3.81 (2.19, 6.61)	< 0.001
Low computer literacy	175	60	1

ISSN: 1472-6947