Table 1

Design characteristics of neonatal trials that included multiple births (n=62)

CharacteristicN=62*
Proportion of women with multiple births, %9 (2, 28)
 Unknown40 (65%)
Proportion of infants from a multiple birth, %26 (19, 31)
 Unknown3 (5%)
Reported information enabling assessment of balance of multiples between groups
 No2 (3%)
 Yes60 (97%)
Highest order multiples included in the trial
 Twins23 (37%)
 Triplets6 (10%)
 Higher order multiples2 (3%)
 Unclear31 (50%)
Who was randomised
 Site was randomised2 (3%)
 Mother (cluster randomised†)22 (35%)
 Infant38 (61%)
If infant was randomised, how were multiples randomised
 Infants randomised independently14 (37%)
 Randomised to same group (cluster randomised†)9 (24%)
 Unclear15 (39%)
 (Infant not randomised)24
Method of randomisation
 Stratified blocks (covariate-adaptive randomisation‡)39 (63%)
 Minimisation (covariate-adaptive randomisation‡)9 (15%)
 Simple5 (8%)
 Other§7 (11%)
 Unclear2 (3%)
If covariate-adaptive randomisation‡ was used, was multiple births a balancing factor
 No38 (79%)
 Yes10 (21%)
 (Covariate-adaptive randomisation not used)14
Who received the intervention
 Mother22 (35%)
 Infant39 (63%)
 Both infant and mother1 (1.6%)
On what level is the outcome defined
 Cluster level11 (18%)
 Infant level51 (82%)
Did the sample size calculation account for clustering due to multiples
 No54 (87%)
 Yes8 (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).