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. 2018 Jan 11;18:4. doi: 10.1186/s12911-018-0585-y

Table 1.

Socio-demographic factors and their associations with computer literacy

Computer literacy
Socio-demographic Factors All (N = 176) Basic or less (N = 43) Good (N = 93) Excellent (N = 40) Chi-Square P - value
n (Total %) n (Row %) n (Row %) n (Row %)
Age group (years) 0.032
 22–30 69 (39.4) 13 (18.8) 35 (50.7) 21 (30.4) For trend
 31–40 69 (41.2) 20 (27.8) 36 (50.0) 16 (22.2)
 Above 40 34 (19.4) 9 (26.5) 22 (64.7) 3 (8.8)
Gender 0.867
 Male 79 (45.1) 18 (22.8) 42 (53.2) 19 (24.0) Pearson
 Female 96 (54.9) 25 (26.0) 50 (52.1) 21 (21.9)
Nationality 0.817
 Kuwaiti 79 (44.9) 21 (26.6) 40 (50.6) 18 (22.8) Pearson
 Non-Kuwaiti 97 (55.1) 22 (22.7) 53 (54.6) 22 (22.7)
Educational level 0.295
 BSc 135 (78.5) 28 (20.7) 79 (58.6) 28 (20.7) For trend
 Pharm D 15 (8.7) 7 (46.7) 6 (40.0) 2 (13.3)
 Postgraduate 22 (12.8) 4 (18.2) 8 (36.3) 10 (45.5)
Years of experience 0.364
 1–5 79 (45.1) 20 (25.3) 38 (48.1) 21 (26.6) For trend
 6–15 70 (40.0) 16 (22.9) 38 (54.2) 16 (22.9)
 Above 15 26 (14.9) 7 (26.9) 16 (61.5) 3 (11.6)
Rank of employment 0.476
 Beginner pharmacist 32 (18.3) 7 (21.9) 14 (43.8) 11 (34.3) For trend
 Pharmacist 70 (40.0) 19 (27.1) 37 (52.9) 14 (20.0)
 Pharmacy specialist 26 (14.9) 7 (26.9) 13 (50.0) 6 (23.1)
 Senior pharmacist 24 (13.7) 5 (20.8) 12 (50.0) 7 (29.2)
 Senior pharmacy specialist 9 (5.1) 1 (11.1) 8 (88.9) 0 (0.0)
 Head of pharmacy specialists 14 (8.0) 4 (28.6) 8 (57.1) 2 (14.3)
Previous exposure to EBM 0.025
 Read about it 82 (48.0) 25 (30.5) 43 (52.4) 14 (17.1) Pearson
 Attended a lecture 32 (18.7) 5 (15.6) 16 (50.0) 11 (34.4)
 Had formal EBM training 18 (10.5) 2 (11.1) 7 (38.9) 9 (50.0)
 Never heard of it 39 (22.8) 9 (23.1) 24 (61.5) 6 (15.4)
Previous research exposure 0.105
 Participated in one study 48 (28.1) 9 (18.8) 31 (64.6) 8 (16.6) Pearson
 Have participated in more than one study 20 (11.7) 6 (30.0) 6 (30.0) 8 (40.0)
 None 103 (60.2) 27 (26.2) 52 (50.5) 24 (23.3)