Sample size and data analyses
REGRESSION, RECRUITMENT
Our proposed sample size of 60 (30 participants in each arm) was based on the pragmatics of recruitment and the necessities for examining feasibility, which would allow us to assess our recruitment procedures and attrition rates, and evaluate the feasibility of integrating the intervention into routine antenatal classes.All quantitative analyses were conducted using IBM SPSS Statistics software (version 28.0, IBM Inc., United States). Feasibility data such as recruitment rates, adherence to the intervention were summarized and presented as percentages. Chi-square test was applied to identify differences in the distribution of categorical variables by groups, and Mann-Whitney U test for continuous variables. An overall 5% type-I error level was used to infer statistical significance. Binary logistic regression was used to assess the associations between session attendance and sociodemographic characteristics of the participants. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were reported. The Wilcoxon test was performed to test the significance of pairwise differences between pre- and post-intervention scores.Qualitative analysis was done using a thematic framework approach [