Data analysis
All video recordings were analysed by CH. Two independent researchers
(CS and SL) randomly selected one-quarter of the videos for quality
assessment. The videos were reviewed after the study period, and an
individual timeline was produced to document procedures performed in
each neonatal resuscitation.
Video observations were registered in Excel (version 16.60, Microsoft
Corporation, Washington, United States), and quantitative variables were
registered in RedCap. We categorised continuous variables according to
common medical standards and newborn risk factors. In descriptive
statistics we used numbers and percentages or median and interquartile
range (IQR).
Differences in continuous variables were performed using
independent-sample t-tests. Chi-square tests were used to compare
variables. To investigate variables associated with pregnancy and birth
outcomes, a binominal logistic regression model was used. Analysis for
each confounder was adjusted for the mother’s age and presented with
adjusted odds ratios [AOR], including 95% CI. Birth weight was
included in the logistic models for the newborn. Twin births were
considered two distinct cases in the logistic regression models. Due to
the limited number of twin births (n = 52), the bias for these samples
was considered limited.
All tests were two-sided, and all analyses were considered significant
if p < 0.05. Estimates were shown with 95% confidence
intervals (CI). SPSS (version 28.0, IBM, New York, United States) was
used for analysis.