Data analysis
REGRESSION
We exported the ODK questionnaire data into a comma-separated variable format and then imported it into Stata v.17.0, a statistical analysis software tool (StataCorp, College Station, TX, USA). We used Chi-square and t-tests to compare the characteristics of the participants in the two study arms at the baseline and final assessment.To evaluate changes in knowledge about danger signs, birth preparedness, and service utilisation, we used McNemar's test. To further examine the change in institutional delivery service care utilization (home vs. health facility) in the intervention arm compared to the change in the control arm, we used generalised mixed-effects logistic regression models with a random intercept at the kebeles to estimate the effectiveness of the intervention on the outcomes. The following independent variables were used to estimate the effectiveness: intervention status, educational status, agro-ecological zone, baseline findings of outcome variables and socioeconomic status. All hypothesis tests were two-sided, with the level of statistical significance set to p < 0.05.