Table 2 The effect of demographic factors on ideal IRB and actual IRB
From: Performance of IRBs in China: a survey on IRB employees and researchers’ experiences and perceptions
Variable | Median (IQR) | P-value* | ||
|---|---|---|---|---|
Ideal IRB | Actual IRB | Ideal IRB | Actual IRB | |
Participants | ||||
IRB employee | 6 (6–7) | 6 (5–6) | 0.564 | 0.292 |
Researcher | 6 (6–7) | 6 (5–6.5) | ||
Both IRB employee and researcher | 6 (6–7) | 6 (5–6) | ||
Gender | ||||
Male | 6 (6–7) | 6 (5–7) | 0.52 | 0.115 |
Female | 6 (6–7) | 6 (5–6) | ||
Studied abroad for more than 3 months | ||||
Yes | 6 (6–7) | 6 (5–6.5) | 0.281 | 0.15 |
No | 6 (6–7) | 6 (5–6) | ||
Received ethics training in the last 3 years | ||||
Yes | 6 (6–7) | 6 (5–6.5) | 0.003 | 0.006 |
No | 6 (6–7) | 6 (5–6) | ||
Age (years) | ||||
18–30 | 6 (6–7) | 6 (5–6) | 0.369 | 0.911 |
31–40 | 6 (6–7) | 6 (5–6) | ||
≥ 41 | 6 (6–7) | 6 (5–6) | ||
The IRB where you work has an independent ethics committee office | ||||
Yes | 6 (6–7) | 6 (5–7) | < 0.0001 | < 0.0001 |
No | 6 (6–7) | 5 (5–6) | ||
Do not know | 6 (5–6) | 6 (5–6) | ||
Yes vs No | 0.657 | 0.04 | ||
Yes vs Do not know | < 0.0001 | < 0.0001 | ||
No vs Do not know | 0.022 | 0.232 | ||
Experience (years) | ||||
0–5 | 6 (6–7) | 6 (5–7) | 0.406 | 0.594 |
6–10 | 6 (6–7) | 6 (5–6) | ||
11–20 | 6 (6–7) | 6 (5–6) | ||
≥ 21 | 6 (6–7) | 6 (6–6) | ||
Professional title | ||||
Primary level professional title | 6 (6–7) | 6 (5–6) | 0.661 | 0.087 |
Intermediate level professional title | 6 (6–7) | 6 (5–7) | ||
Associate professor | 6 (6–7) | 6 (5–6) | ||
Professor | 6 (6–7) | 6 (5–6) | ||
None | 6 (6–7) | 6 (5–6) | ||
Level of education | ||||
Ph.D | 6 (6–7) | 6 (5–6) | 0.649 | 0.668 |
Master’s degrees | 6 (6–7) | 6 (5–6.5) | ||
Bachelor’s degree and below | 6 (6–7) | 6 (5–6) | ||
Institution | ||||
Tertiary (level 3) and secondary (level 2) hospital | 6 (6–7) | 6 (5–6) | 0.341 | 0.006 |
Medical school | 6 (6–7) | 5.5 (5–6) | ||
Others | 6 (6–7) | 6 (5–7) | ||
Tertiary (level 3) and secondary (level 2) hospital vs Medical school | 0.004 | |||
Tertiary (level 3) and secondary (level 2) hospital vs others | 1.00 | |||
Medical school vs others | 0.193 | |||