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.