BMC Public Health (Jun 2024)

Risk factors for maternal near-miss in an undeveloped province in south-central China, 2012–2022

  • Xu Zhou,
  • Junqun Fang,
  • Yinglan Wu,
  • Jie Gao,
  • Xiaoying Chen,
  • Aihua Wang,
  • Chuqiang Shu

DOI
https://doi.org/10.1186/s12889-024-18970-4
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 8

Abstract

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Abstract Objective To explore the risk factors for maternal near-miss (MNM) using the WHO near-miss approach. Methods Data were obtained from the Maternal Near-Miss Surveillance System in Hunan Province, China, 2012–2022. Multivariate logistic regression analysis (method: Forward, Wald, α = 0.05) and adjusted odds ratios (aORs) were used to identify risk factors for MNM. Results Our study included 780,359 women with 731,185 live births, a total of 2461 (0.32%) MNMs, 777,846 (99.68%) non-MNMs, and 52 (0.006%) maternal deaths were identified. The MNM ratio was 3.37‰ (95%CI: 3.23–3.50). Coagulation/hematological dysfunction was the most common cause of MNM (75.66%). Results of multivariate logistic regression analysis showed risk factors for MNM: maternal age > = 30 years old (aOR > 1, P = 2 (aOR > 1, P = 3 (aOR = 1.95, 95%CI: 1.50–2.55), prenatal examinations = 2 (aOR = 2.48, 95%CI: 1.99–3.09). Conclusion The MNM ratio was relatively low in Hunan Province. Advanced maternal age, unmarried status, a high number of pregnancies, nulliparity or high parity, a low number of prenatal examinations, and cesarean sections were risk factors for MNM. Our study is essential for improving the quality of maternal health care and preventing MNM.

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