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. 2023 Dec 1;24:779. doi: 10.1186/s13063-023-07802-2

Table 4.

Factors influencing time to governance submission to governance approval (days) for 145 site activations

Median (range) Univariable p-value*
Multivariable p-value**
Overall 34 (0, 489)
Phase
 1 (n = 17) 39 (0, 89) 0.2*
 2 (n = 27) 45 (1, 140) 0.014**
 3 (n = 93) 33 (0, 489)
 4 (n = 8) 18 (12, 99)
Disease area of trial
 Nephrology (n = 49) 37 (0, 489) 0.012*
 Oncology (n = 40) 17 (0, 112) 0.044**
 Endocrinology (n = 24) 41 (3, 192)
 Neurology (n = 22) 47 (1, 140)
 Paediatrics (n = 10) 40 (21, 433)
Country
 Australia (n = 126) 34 (0, 489) 0.094*
 South Korea (n = 10) 10 (0, 102) NA**
 Hong Kong SAR (n = 5) 62 (9, 87)
 Taiwan (n = 0) -
 New Zealand (n = 4) 30 (7, 56)
Trial site ownership
 Government (n = 108) 35 (0, 489) 0.3*
 Private (n = 18) 28 (3, 77) 0.032**
 Unknown (n = 19) 14 (0, 102)
Scope guidelines used for the governance review
 Yes (n = 110) 28 (0, 489)  < 0.001*
 No (n = 35) 79 (3, 135) 0.020**
Triage by low, medium, or high risk
 Yes (n = 111) 24 (0, 489)  < 0.001*
 No (n = 31) 81 (29, 135) 0.043**
 Unknown (n = 3) 10 (6, 53)
COVID-19 pandemic
 Pre-pandemic (n = 109) 31 (0, 192) 0.12*
 During or after pandemic (n = 36) 41 (7, 489) 0.013**

NA not applicable because only one country (Australia) had data to enable multivariable analyses

*p-value from univariable comparison

**p-value from multivariable comparison that included disease area; phase; trial site ownership status (N/A data removed from ownership status); the use of scope guidelines by the governance body; a governance approval process that triaged applications as low, medium, or high risk; and pre- or post-COVID in the regression model