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Table 3 The relationship between demographic characteristics and the use of the Seha app

From: Evaluation of e-health (Seha) application: a cross-sectional study in Saudi Arabia

Factor

User

Non-user

Total

X2/p

Gender

    

Male

124

83

207

22.19**/< 0.000

59.90%

40.10%

100%

Female

125

196

321

38.90%

61.10%

100%

Age

    

18–29

61

61

122

8.79*/0.011

50.00%

50.00%

100%

30–49

163

164

327

49.80%

50.20%

100%

 > 50

25

54

79

31.60%

68.40%

100%

Marital status

    

Single

61

89

150

3.54/0.06

40.70%

59.30%

100%

Married

188

190

378

49.70%

50.30%

100%

Region

    

Central

173

161

334

19.74**/0.001

51.80%

48.20%

100%

Eastern

9

19

28

32.10%

67.90%

100.00%

Western

26

65

91

28.60%

71.40%

100%

Southern

8

7

15

53.30%

46.70%

100%

Northern

33

27

60

55.00%

45.00%

100%

Education

    

Secondary school

36

44

80

3.45/0.49

45.00%

55.00%

100%

Diploma

21

30

51

41.20%

58.80%

100%

Bachelor’s

114

132

246

46.30%

53.70%

100%

Master’s

52

42

94

55.30%

44.70%

100%

PhD

8

9

17

47.10%

52.90%

100%

Income

    

 < 5000 SAR

69

88

157

3.92/0.27

43.90%

56.10%

100%

5001–10,000 SAR

62

82

144

43.10%

56.90%

100%

10,001–30,000 SAR

110

100

210

52.40%

47.60%

100%

 > 30,000 SAR

8

9

17

47.10%

52.90%

100%

Occupation

    

Public employees

145

118

263

22.05**/< 0.000

55.10%

44.90%

100%

Private employees

21

60

81

25.90%

74.10%

100%

Unemployed

67

85

152

44.10%

55.90%

100%

Students

16

16

32

50.00%

50.00%

100%

  1. **p < 0.01; *p < 0.05