Design characteristics of neonatal trials that included multiple births (n=62)
Characteristic | N=62* |
Proportion of women with multiple births, % | 9 (2, 28) |
Unknown | 40 (65%) |
Proportion of infants from a multiple birth, % | 26 (19, 31) |
Unknown | 3 (5%) |
Reported information enabling assessment of balance of multiples between groups | |
No | 2 (3%) |
Yes | 60 (97%) |
Highest order multiples included in the trial | |
Twins | 23 (37%) |
Triplets | 6 (10%) |
Higher order multiples | 2 (3%) |
Unclear | 31 (50%) |
Who was randomised | |
Site was randomised | 2 (3%) |
Mother (cluster randomised†) | 22 (35%) |
Infant | 38 (61%) |
If infant was randomised, how were multiples randomised | |
Infants randomised independently | 14 (37%) |
Randomised to same group (cluster randomised†) | 9 (24%) |
Unclear | 15 (39%) |
(Infant not randomised) | 24 |
Method of randomisation | |
Stratified blocks (covariate-adaptive randomisation‡) | 39 (63%) |
Minimisation (covariate-adaptive randomisation‡) | 9 (15%) |
Simple | 5 (8%) |
Other§ | 7 (11%) |
Unclear | 2 (3%) |
If covariate-adaptive randomisation‡ was used, was multiple births a balancing factor | |
No | 38 (79%) |
Yes | 10 (21%) |
(Covariate-adaptive randomisation not used) | 14 |
Who received the intervention | |
Mother | 22 (35%) |
Infant | 39 (63%) |
Both infant and mother | 1 (1.6%) |
On what level is the outcome defined | |
Cluster level | 11 (18%) |
Infant level | 51 (82%) |
Did the sample size calculation account for clustering due to multiples | |
No | 54 (87%) |
Yes | 8 (13%) |
*Median (IQR); n (%).
†Indicates cluster randomised trials (n=31).
‡Indicates covariate balancing method was used (n=48).
§Other randomisation methods include unstratified blocks and stratified random number lists (with no blocking).