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. Author manuscript; available in PMC: 2022 Jul 1.
Published in final edited form as: J Empir Res Hum Res Ethics. 2022 Jan 28;17(3):362–372. doi: 10.1177/15562646221075884

Table 5.

Factors associated with attitudes toward electronic informed consent

Variables N (%) Mean SD a p-value
Total 547 (100) 54.85 6.55 N/A
Gender
 Male 264 (48) 56.01 6.87 0.000*
 Female 283 (52) 53.78 6.08
Residency
 Urban 455 (83) 54.85 6.66 0.966
 Rural 92 (17) 54.88 6.12
Current job status
 Student 92 (17) 53.27 5.35 0.000*
 Unemployed 36 (6) 54.17 5.07
 Part-time employment 53 (10) 54.97 6.93
 Full-time employment 366 (67) 57.26 6.10
Annual per capita household disposable income level
 Low (<7400 CNY) 115 (21) 55.42 5.43 0.440
 Lower-middle (7400 – 16000 CNY) 85 (16) 55.49 5.68
 Middle (16000 – 25000 CNY) 128 (23) 54.27 6.72
 Upper-middle (25000 – 39000 CNY) 124 (23) 48.48 2.46
 High (39000 – 75000 CNY) 95 (17) 54.46 7.59
Level of education
 Less than high school 36 (7) 56.53 6.20 0.079
 High school 148 (27) 55.67 5.91
 College 269 (49) 54.4 6.66
 Postgraduate 94 (17) 54.22 7.24
Previously participated in a clinical trial
 Yes 170 (31) 56.89 7.18 0.000*
 No 377 (69) 53.93 6.06
Awareness of electronic informed consent
 Never heard of it 237 (43) 54.21 6.35 0.114
 Heard of it but not very familiar 219 (40) 55.47 6.53
 Heard of it and familiar 91 (17) 55.04 7.10
Preferred device to use for electronic informed consent 0.706
 Mobile device (mobile phone/tablet) 476 (87) 55.1 6.50 0.021*
 PC device (desktop computer) 71 (13) 53.18 6.82
a

Independent t-test and One-way ANOVA

*

Statistically significant

SD=Standard deviation