Abstract
Objective: To estimate the prevalence of obstructed labour, associated risk factors and outcomes across a network of referral hospitals in Nigeria.
Design: Retrospective observational study.
Setting: A total of 54 referral-level hospitals across the six geopolitical regions of Nigeria.
Population: Pregnant women who were diagnosed with obstructed labour during childbirth and subsequently underwent an emergency caesarean section between 1 September 2019 and 31 August 2020.
Methods: Secondary analysis of routine maternity care data sets. Random-effects multivariable logistic regression was used to ascertain the factors associated with obstructed labour.
Main outcome measures: Risk factors for obstructed labour and related postpartum complications, including intrapartum stillbirth, maternal death, uterine rupture, postpartum haemorrhage and sepsis.
Results: Obstructed labour was diagnosed in 1186 (1.7%) women. Among these women, 31 (2.6%) cases resulted in maternal death and 199 (16.8%) cases resulted in postpartum complications. Women under 20 years of age (OR 2.03, 95% CI 1.50–2.75), who lacked formal education (OR 1.88, 95% CI 1.55–2.30), were unemployed (OR 1.94, 95% CI 1.57–2.41), were nulliparous (OR 2.11, 95% CI 1.83–2.43), did not receive antenatal care (OR 3.34, 95% CI 2.53–4.41) or received antenatal care in an informal healthcare setting (OR 8.18, 95% CI 4.41–15.14) were more likely to experience obstructed labour. Ineffective referral systems were identified as a major contributor to maternal death.
Conclusions: Modifiable factors contributing to the prevalence of obstructed labour and associated adverse outcomes in Nigeria can be addressed through targeted policies and clinical interventions.
Design: Retrospective observational study.
Setting: A total of 54 referral-level hospitals across the six geopolitical regions of Nigeria.
Population: Pregnant women who were diagnosed with obstructed labour during childbirth and subsequently underwent an emergency caesarean section between 1 September 2019 and 31 August 2020.
Methods: Secondary analysis of routine maternity care data sets. Random-effects multivariable logistic regression was used to ascertain the factors associated with obstructed labour.
Main outcome measures: Risk factors for obstructed labour and related postpartum complications, including intrapartum stillbirth, maternal death, uterine rupture, postpartum haemorrhage and sepsis.
Results: Obstructed labour was diagnosed in 1186 (1.7%) women. Among these women, 31 (2.6%) cases resulted in maternal death and 199 (16.8%) cases resulted in postpartum complications. Women under 20 years of age (OR 2.03, 95% CI 1.50–2.75), who lacked formal education (OR 1.88, 95% CI 1.55–2.30), were unemployed (OR 1.94, 95% CI 1.57–2.41), were nulliparous (OR 2.11, 95% CI 1.83–2.43), did not receive antenatal care (OR 3.34, 95% CI 2.53–4.41) or received antenatal care in an informal healthcare setting (OR 8.18, 95% CI 4.41–15.14) were more likely to experience obstructed labour. Ineffective referral systems were identified as a major contributor to maternal death.
Conclusions: Modifiable factors contributing to the prevalence of obstructed labour and associated adverse outcomes in Nigeria can be addressed through targeted policies and clinical interventions.
Original language | English |
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Pages (from-to) | 55-63 |
Number of pages | 9 |
Journal | BJOG: An International Journal of Obstetrics and Gynaecology |
Volume | 131 |
Issue number | S3 |
Early online date | 14 Apr 2024 |
DOIs | |
Publication status | Published - 22 Aug 2024 |
Bibliographical note
© 2024 John Wiley & Sons Ltd.Funder
This work was funded by MSD for Mothers and the UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), a co-sponsored programme executed by the World Health Organization (WHO). The funders did not play any role in the study design, collection, analysis and interpretation of the data, in the writing of the report, or in the decision to submit the article for publication.Keywords
- CIN
- epidemiology
- labour