Factors associated with childbirth readiness among pregnant women: a Bayesian network analysis

Key Points

• This research aims to identify factors influencing childbirth readiness among pregnant women using a Bayesian model.
• Constructed a Bayesian network model to analyze factors affecting childbirth readiness.
• Examined factors such as self-efficacy, fear of childbirth, eHealth literacy, and multiparity.
• Compared results to traditional regression model findings.
• High self-efficacy significantly increases the likelihood of childbirth readiness.
• Women with no fear of childbirth have enhanced readiness levels.
• Multiparity is positively associated with childbirth readiness, with an achievement rate of 83.3%.