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Determinants of maternal near-miss among women admitted to public hospitals in North Shewa Zone, Ethiopia

A case-control study

Bibliographic Data

ID22085567
AuthorsHana Nigussie Teshome (Debre Berhan University), Esubalew Tesfahun Ayele (Debre Berhan University), Solomon Hailemeskel (Debre Berhan University), Osman Yimer (Debre Berhan University), Getaneh Baye Mulu (0000-0001-8669-6587, Debre Berhan University), Mesfin Tadese (0000-0001-6288-9771, Debre Berhan University, corresponding author)
Year2022
Volume10
Pages996885-996885
Publication date2022-08-25
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.996885
PMID36091552
OpenAlexW4293224409
LanguageEN
Citations received3
References cited20

Background A maternal near-miss (MNM) refers to a woman who presents with life-threatening complications during pregnancy, childbirth, or within 42 days of termination of pregnancy but survived by chance or due to the standard care she received. It is recognized as a valuable indicator to examine the quality of obstetrics care as it follows similar predictors with maternal death. Ethiopia is one of the sub-Saharan African countries with the highest rate of maternal mortality and morbidity. Thus, studying the cause and predictors of maternal near-miss is vital to improving the quality of obstetric care, particularly in low-income countries. Objective To identify determinants of maternal near-miss among women admitted to public hospitals in North Shewa Zone, Ethiopia, 2020. Methods A facility-based unmatched case-control study was conducted on 264 women (88 cases and 176 controls) from February to April 2020. Data were collected using pretested interviewer-administered questionnaires and a review of medical records. Data were entered into Epi-data version 4.2.2 and exported to SPSS version 25 for analysis. Variables with a p -value <0.25 in the bivariable analysis were further analyzed using multivariable logistic regression analysis. Finally, variables with a p -value <0.05 were considered statistically significant. Result Severe pre-eclampsia (49.5%) and postpartum hemorrhage (28.3%) were the main reasons for admission of cases. Educational level of women (AOR = 4.80, 95% CI: 1.78–12.90), education level of husbands (AOR = 5.26; 95% CI: 1.46–18.90), being referred from other health facilities (AOR = 4.73, 95% CI: 1.78–12.55), antenatal care visit (AOR = 2.75, 95% CI: 1.13–6.72), cesarean section (AOR = 3.70, 95% CI: 1.42-9.60), and medical disorder during pregnancy (AOR = 12.06, 95% CI: 2.82–51.55) were found to significantly increase the risk of maternal near-miss. Whereas, the younger age of women significantly decreased the risk of maternal near miss (AOR = 0.26, 95% CI: 0.09–0.75). Conclusion Age, educational level, antenatal care follow-ups, medical disorder during pregnancy, mode of admission, and mode of delivery were significant predictors of maternal near-miss. Socio-demographic development, use of ANC services, early detection and management of medical diseases, reducing cesarean section, and improving the referral systems are crucial to minimizing the maternal near-miss

Childbirth · Eclampsia · Environmental health · Family medicine · Logistic regression · Maternal death · Medical record · Obstetrics · Population · Pregnancy · Public health · Demography · Maternal and fetal healthcare · Maternal and Neonatal Healthcare · Maternal and Perinatal Health Interventions · Medicine · Nursing · Pediatrics

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

    Open Access•Xu Zhou, Junqun Fang et al.•BMC Public Health•2024

  • Pregnancy complications associated with maternal near-miss in an undeveloped province in south-central China, 2012–2022

    Open Access•Xu Zhou, Yinglan Wu et al.•BMC Public Health•2024

  • Maternal mortality in Ethiopia (2015–2025)

    Open Access•Merga Abdissa Aga, Ding-Geng Chen•BMC Public Health•2025

  • Maternal near miss – towards a standard tool for monitoring quality of maternal health care

    Open Access•Lale Say, Juliano P Souza et al.•Best Practice & Research Clinical…•2009

  • Global and regional estimates of maternal near miss

    Open Access•Tabassum Firoz, Carla Lionela Trigo Romero et al.•BMJ Global Health•2022

Unique citing works3
Citations per year1,5
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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