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Table 1 Description of participants’ sociodemographic characteristics (N = 642)

From: Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey

  

Total sample

(N = 642)

UAE

(n = 227)

Jordan

(n = 108)

KSA

(n = 104)

Egypt

(n = 203)

P-value

n (%)

n (%)

n (%)

n (%)

n (%)

Sex

Male

168 (26.2)

37 (16.3)

33 (30.6)

29 (27.9)

69 (34)

< 0.001

Female

474 (73.8)

190 (83.7)

75 (69.4)

75 (72.1)

134 (66)

 

Age (years)

18–20

364 (56.7)

124 (54.6)

78 (72.2)

25 (24)

137 (67.5)

< 0.001

21+

278 (43.3)

103 (45.4)

30 (27.8)

79 (76)

66 (32.5)

 

Marital status

Single

604 (94.1)

218 (96)

103 (95.4)

93 (89.4)

190 (93.6)

0.111

Ever married

38 (5.9)

9 (4)

5 (4.6)

11 (10.6)

13 (6.4)

 

Specialty

Nutrition

129 (20.1)

18 (7.9)

0 (0)

0 (0)

111 (54.7)

< 0.001

Nursing

218 (34)

6 (2.6)

24 (22.2)

97 (93.3)

91 (44.8)

 

Medicine

173 (26.9)

93 (41)

78 (72.2)

1 (1)

1 (0.5)

 

Physiotherapy

122 (19)

110 (48.5)

6 (5.6)

6 (5.8)

0 (0)

 

Education level

2nd year

292 (45.5)

36 (15.9)

94 (87)

43 (41.3)

119 (58.6)

< 0.001

3rd year

220 (34.3)

122 (53.7)

14 (13)

12 (11.5)

72 (35.5)

 

4th + year

130 (20.2)

69 (30.4)

0 (0)

49 (47.1)

12 (5.9)

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