Factors associated with childbirth readiness among pregnant women: a Bayesian network analysis
Previous studies on childbirth readiness have mainly relied on regression models, which are unable to elucidate the intrinsic interconnections among influencing factors. By constructing a Bayesian model, this study demonstrated that women with high self-efficacy, no fear of childbirth, high eHealth literacy, and multiparity had the highest probability of achieving complete childbirth readiness (83.3%).
Authors
- Danni Wu (ORCID: https://orcid.org/0000-0001-6057-0804)
- Xiaotong Zhang (ORCID: https://orcid.org/0000-0002-9197-1421)
- Ningying Zhou
- Yuqing Zan
- Fei Sun
- Min Liu
- Shanshan Hu
Institutions
- Jiangnan University (CN)
- Westlake University (CN)
- Soochow University (CN)
- Jiangxi Maternal and Child Health Hospital (CN)
- Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN)
- First Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- Journal of Obstetrics and Gynaecology
- Published
- 2026-02-11
- DOI
- https://doi.org/10.1080/01443615.2026.2626380
- Primary Topic
- Maternal and Perinatal Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00