Analyzing human factors affecting severe maternal morbidity (SMM) using fuzzy Bayesian network (FBN)
Integrating FTA and FBN methods, particularly with the L-NOR gate, overcomes limitations of traditional approaches and enables more accurate modeling of cause-and- effect relationships in complex systems. Strengthening team coordination, appropriate management of hemorrhage, and implementation and enforcement of standard protocols are among the suggested strategies to reduce SMM. These findings provide valuable insights for policy-making and strategies to improve obstetric care.
Authors
- Zahra Sadat Pajohideh
- Fereydoon Laal (ORCID: https://orcid.org/0000-0002-8410-3511)
- Maryam Feiz-Arefi
- Homeyra Mohammadi Darmiyan
- Akram Ajam
- Amin Babaei-Pouya
Institutions
- Ardabil University of Medical Sciences (IR)
- Gonabad University of Medical Sciences (IR)
- Islamic Azad University, Shoushtar Branch (IR)
- Birjand University of Medical Sciences (IR)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-01-02
- DOI
- https://doi.org/10.3389/fmed.2025.1566625
- Primary Topic
- Maternal and fetal healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00