Elective versus non-elective caesarean sections: A multinomial regression analysis of predictors and foetal outcome in a Tertiary Health Facility in Southwestern Nigeria
Objective: This study assessed the demographic and obstetric predictors of elective and non-elective caesarean section and the fetal outcomes at Babcock University Teaching Hospital (BUTH). Methods: A cross-sectional study of 447 pregnant women who delivered between August 2020 and February 2022...
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Babcock Medical Society
2025-06-01
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| Series: | Babcock University Medical Journal |
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| Online Access: | https://bumj.babcock.edu.ng/index.php/bumj/article/view/604 |
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| author | Adebayo Akadri Akinmde Adepoju Elizabeth Grillo Omobolanle Akadri |
| author_facet | Adebayo Akadri Akinmde Adepoju Elizabeth Grillo Omobolanle Akadri |
| author_sort | Adebayo Akadri |
| collection | DOAJ |
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Objective: This study assessed the demographic and obstetric predictors of elective and non-elective caesarean section and the fetal outcomes at Babcock University Teaching Hospital (BUTH).
Methods: A cross-sectional study of 447 pregnant women who delivered between August 2020 and February 2022 at BUTH. Statistical analysis was done using IBM-SPSS version 23.0. Multinomial logistic regression analysis was used to identify specific predictors of both elective and non-elective caesarean sections.
Results: We found that being aged 30 years and older (AOR 2.5 CI 1.3-5.0; p: 0.007), having low birth order [(order 1, AOR 3.4 CI 1.4-8.3; p: 0.008), (order 2, AOR 2.5 CI 1.1-5.8; p: 0.027)], history of CS (AOR 200.8 CI 56.3-716.9; p: <0.001) and non-cephalic foetal presentation (AOR 61.9 CI 7.2-529.7; p: <0.001) predicted elective CS delivery while low birth order (order 1, AOR 3.6 CI 1.8-7.1; p: <0.001), gestational age between 37 and 40 weeks (AOR 3.7 CI 1.6-8.4; p: 0.002) and history of CS (AOR 22.3 CI 6.0-82.1; p: <0.001) predicted non-elective CS. Foetal morbidities such as birth asphyxia, prematurity and low birth weight were significantly higher in women who had non-elective CS.
Conclusion: This study has demonstrated that advanced maternal age, low birth order, history of CS and non-cephalic presentation predicted elective CS, while low birth order, history of CS and gestational age 37-40 weeks predicted non-elective CS. Advocacy for early commencement of family planning and having well-justified indications for the first CS may be useful strategies for optimizing caesarean delivery at the facility level in Nigeria.
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| format | Article |
| id | doaj-art-bf0b088acf054700aaf23633eaf4f9d8 |
| institution | DOAJ |
| issn | 2465-6666 2756-4657 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Babcock Medical Society |
| record_format | Article |
| series | Babcock University Medical Journal |
| spelling | doaj-art-bf0b088acf054700aaf23633eaf4f9d82025-08-20T03:15:47ZengBabcock Medical SocietyBabcock University Medical Journal2465-66662756-46572025-06-018110.38029/babcockuniv.med.j..v8i1.604Elective versus non-elective caesarean sections: A multinomial regression analysis of predictors and foetal outcome in a Tertiary Health Facility in Southwestern NigeriaAdebayo Akadri0Akinmde Adepoju1Elizabeth Grillo2Omobolanle Akadri3Department of Obstetrics and Gynaecology, Babcock University, Ilishan-Remo, Ogun State, NigeriaDepartment of Community Medicine, Babcock University, Ilishan-Remo, Ogun State, NigeriaDepartment of Obstetrics and Gynaecology, Babcock University, Ilishan-Remo, Ogun State, NigeriaDepartment of Physiotherapy, General Hospital Iperu, Ogun State, Nigeria Objective: This study assessed the demographic and obstetric predictors of elective and non-elective caesarean section and the fetal outcomes at Babcock University Teaching Hospital (BUTH). Methods: A cross-sectional study of 447 pregnant women who delivered between August 2020 and February 2022 at BUTH. Statistical analysis was done using IBM-SPSS version 23.0. Multinomial logistic regression analysis was used to identify specific predictors of both elective and non-elective caesarean sections. Results: We found that being aged 30 years and older (AOR 2.5 CI 1.3-5.0; p: 0.007), having low birth order [(order 1, AOR 3.4 CI 1.4-8.3; p: 0.008), (order 2, AOR 2.5 CI 1.1-5.8; p: 0.027)], history of CS (AOR 200.8 CI 56.3-716.9; p: <0.001) and non-cephalic foetal presentation (AOR 61.9 CI 7.2-529.7; p: <0.001) predicted elective CS delivery while low birth order (order 1, AOR 3.6 CI 1.8-7.1; p: <0.001), gestational age between 37 and 40 weeks (AOR 3.7 CI 1.6-8.4; p: 0.002) and history of CS (AOR 22.3 CI 6.0-82.1; p: <0.001) predicted non-elective CS. Foetal morbidities such as birth asphyxia, prematurity and low birth weight were significantly higher in women who had non-elective CS. Conclusion: This study has demonstrated that advanced maternal age, low birth order, history of CS and non-cephalic presentation predicted elective CS, while low birth order, history of CS and gestational age 37-40 weeks predicted non-elective CS. Advocacy for early commencement of family planning and having well-justified indications for the first CS may be useful strategies for optimizing caesarean delivery at the facility level in Nigeria. https://bumj.babcock.edu.ng/index.php/bumj/article/view/604Caesarean sectionDeterminantsElectiveEmergencyPredictors |
| spellingShingle | Adebayo Akadri Akinmde Adepoju Elizabeth Grillo Omobolanle Akadri Elective versus non-elective caesarean sections: A multinomial regression analysis of predictors and foetal outcome in a Tertiary Health Facility in Southwestern Nigeria Babcock University Medical Journal Caesarean section Determinants Elective Emergency Predictors |
| title | Elective versus non-elective caesarean sections: A multinomial regression analysis of predictors and foetal outcome in a Tertiary Health Facility in Southwestern Nigeria |
| title_full | Elective versus non-elective caesarean sections: A multinomial regression analysis of predictors and foetal outcome in a Tertiary Health Facility in Southwestern Nigeria |
| title_fullStr | Elective versus non-elective caesarean sections: A multinomial regression analysis of predictors and foetal outcome in a Tertiary Health Facility in Southwestern Nigeria |
| title_full_unstemmed | Elective versus non-elective caesarean sections: A multinomial regression analysis of predictors and foetal outcome in a Tertiary Health Facility in Southwestern Nigeria |
| title_short | Elective versus non-elective caesarean sections: A multinomial regression analysis of predictors and foetal outcome in a Tertiary Health Facility in Southwestern Nigeria |
| title_sort | elective versus non elective caesarean sections a multinomial regression analysis of predictors and foetal outcome in a tertiary health facility in southwestern nigeria |
| topic | Caesarean section Determinants Elective Emergency Predictors |
| url | https://bumj.babcock.edu.ng/index.php/bumj/article/view/604 |
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