Iretiola Bamikeolu Fajolu, Iyabode Olabisis Florence Dedeke, Timothy A. Oluwasola, Lawal Oyeneyin, Zainab Imam, Ezra Ogundare, Ibijoke Campbell, Bola Akinkunmi, Ekundayo O. Ayegbusi, Efeturi Agelebe, Ayodeji K. Adefemi, David Awonuga, Olusoji Jagun, Qasim Salau, Bankole Kuti, Olukemi Oluwatoyin Tongo, Tajudeen Adebayo, Damilola Adebanjo-Aina, Emmanuel Adenuga, Idowu Adewumi, Tina Lavin, Jamilu Tukur, Olubukola Adesina
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Adefemi, David Awonuga, Olusoji Jagun, Qasim Salau, Bankole Kuti, Olukemi Oluwatoyin Tongo, Tajudeen Adebayo, Damilola Adebanjo-Aina, Emmanuel Adenuga, Idowu Adewumi, Tina Lavin, Jamilu Tukur, Olubukola Adesina","doi":"10.1111/1471-0528.17869","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>To describe the incidence, and sociodemographic and clinical factors associated with preterm birth and perinatal mortality in Nigeria.</p>\n </section>\n \n <section>\n \n <h3> Design</h3>\n \n <p>Secondary analysis of data collected through the Maternal Perinatal Database for Quality, Equity and Dignity (MPD-4-QED) Programme.</p>\n </section>\n \n <section>\n \n <h3> Setting</h3>\n \n <p>Data from births in 54 referral-level hospitals across Nigeria between 1 September 2019 and 31 August 2020.</p>\n </section>\n \n <section>\n \n <h3> Population</h3>\n \n <p>A total of 69 698 births.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Multilevel modelling was used to determine the factors associated with preterm birth and perinatal mortality.</p>\n </section>\n \n <section>\n \n <h3> Outcome measures</h3>\n \n <p>Preterm birth and preterm perinatal mortality.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Of 62 383 live births, 9547 were preterm (153 per 1000 live births). Maternal age (<20 years – adjusted odds ratio [aOR] 1.52, 95% CI 1.36–1.71; >35 years – aOR 1.23, 95% CI 1.16–1.30), no formal education (aOR 1.68, 95% CI 1.54–1.84), partner not gainfully employed (aOR 1.94, 95% CI 1.61–2.34) and no antenatal care (aOR 2.62, 95% CI 2.42–2.84) were associated with preterm births. Early neonatal mortality for preterm neonates was 47.2 per 1000 preterm live births (451/9547). Father's occupation (manual labour aOR 1.52, 95% CI 1.20–1.93), hypertensive disorders of pregnancy (aOR 1.37, 95% CI 1.02–1.83), no antenatal care (aOR 2.74, 95% CI 2.04–3.67), earlier gestation (28 to <32 weeks – aOR 2.94, 95% CI 2.15–4.10; 32 to <34 weeks – aOR 1.80, 95% CI 1.3–2.44) and birthweight <1000 g (aOR 21.35, 95% CI 12.54–36.33) were associated with preterm perinatal mortality.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Preterm birth and perinatal mortality in Nigeria are high. Efforts should be made to enhance access to quality health care during pregnancy, delivery and the neonatal period, and improve the parental socio-economic status.</p>\n </section>\n </div>","PeriodicalId":50729,"journal":{"name":"Bjog-An International Journal of Obstetrics and Gynaecology","volume":"131 S3","pages":"30-41"},"PeriodicalIF":4.7000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1471-0528.17869","citationCount":"0","resultStr":"{\"title\":\"Determinants and outcomes of preterm births in Nigerian tertiary facilities\",\"authors\":\"Iretiola Bamikeolu Fajolu, Iyabode Olabisis Florence Dedeke, Timothy A. Oluwasola, Lawal Oyeneyin, Zainab Imam, Ezra Ogundare, Ibijoke Campbell, Bola Akinkunmi, Ekundayo O. Ayegbusi, Efeturi Agelebe, Ayodeji K. Adefemi, David Awonuga, Olusoji Jagun, Qasim Salau, Bankole Kuti, Olukemi Oluwatoyin Tongo, Tajudeen Adebayo, Damilola Adebanjo-Aina, Emmanuel Adenuga, Idowu Adewumi, Tina Lavin, Jamilu Tukur, Olubukola Adesina\",\"doi\":\"10.1111/1471-0528.17869\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>To describe the incidence, and sociodemographic and clinical factors associated with preterm birth and perinatal mortality in Nigeria.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Design</h3>\\n \\n <p>Secondary analysis of data collected through the Maternal Perinatal Database for Quality, Equity and Dignity (MPD-4-QED) Programme.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Setting</h3>\\n \\n <p>Data from births in 54 referral-level hospitals across Nigeria between 1 September 2019 and 31 August 2020.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Population</h3>\\n \\n <p>A total of 69 698 births.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Multilevel modelling was used to determine the factors associated with preterm birth and perinatal mortality.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Outcome measures</h3>\\n \\n <p>Preterm birth and preterm perinatal mortality.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Of 62 383 live births, 9547 were preterm (153 per 1000 live births). 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引用次数: 0
摘要
目的：描述尼日利亚早产和围产期死亡的发生率、相关社会人口和临床因素：描述尼日利亚早产和围产期死亡的发生率、相关社会人口和临床因素：通过孕产妇围产期质量、公平和尊严数据库（MPD-4-QED）计划收集的数据进行二次分析：数据来自 2019 年 9 月 1 日至 2020 年 8 月 31 日期间尼日利亚 54 家转诊级医院的新生儿：共有 69 698 名新生儿：方法：采用多层次模型确定与早产和围产期死亡率相关的因素：早产和早产围产期死亡率：在 62 383 例活产中，有 9547 例早产（每 1000 例活产中有 153 例早产）。产妇年龄（35 岁 - aOR 1.23，95% CI 1.16-1.30）、未受过正规教育（aOR 1.68，95% CI 1.54-1.84）、伴侣未从事有酬工作（aOR 1.94，95% CI 1.61-2.34）和未接受产前护理（aOR 2.62，95% CI 2.42-2.84）与早产有关。早产新生儿的早期死亡率为每 1000 例早产活产中有 47.2 例死亡（451/9547）。父亲的职业（体力劳动 aOR 1.52，95% CI 1.20-1.93）、妊娠高血压疾病（aOR 1.37，95% CI 1.02-1.83）、无产前护理（aOR 2.74，95% CI 2.04-3.67）、较早妊娠（妊娠期为 28 天至妊娠期结束）与早产和围产期死亡率有关：尼日利亚的早产率和围产期死亡率很高。应努力提高妊娠、分娩和新生儿期获得优质保健服务的机会，并改善父母的社会经济状况。
Determinants and outcomes of preterm births in Nigerian tertiary facilities
Objective
To describe the incidence, and sociodemographic and clinical factors associated with preterm birth and perinatal mortality in Nigeria.
Design
Secondary analysis of data collected through the Maternal Perinatal Database for Quality, Equity and Dignity (MPD-4-QED) Programme.
Setting
Data from births in 54 referral-level hospitals across Nigeria between 1 September 2019 and 31 August 2020.
Population
A total of 69 698 births.
Methods
Multilevel modelling was used to determine the factors associated with preterm birth and perinatal mortality.
Outcome measures
Preterm birth and preterm perinatal mortality.
Results
Of 62 383 live births, 9547 were preterm (153 per 1000 live births). Maternal age (<20 years – adjusted odds ratio [aOR] 1.52, 95% CI 1.36–1.71; >35 years – aOR 1.23, 95% CI 1.16–1.30), no formal education (aOR 1.68, 95% CI 1.54–1.84), partner not gainfully employed (aOR 1.94, 95% CI 1.61–2.34) and no antenatal care (aOR 2.62, 95% CI 2.42–2.84) were associated with preterm births. Early neonatal mortality for preterm neonates was 47.2 per 1000 preterm live births (451/9547). Father's occupation (manual labour aOR 1.52, 95% CI 1.20–1.93), hypertensive disorders of pregnancy (aOR 1.37, 95% CI 1.02–1.83), no antenatal care (aOR 2.74, 95% CI 2.04–3.67), earlier gestation (28 to <32 weeks – aOR 2.94, 95% CI 2.15–4.10; 32 to <34 weeks – aOR 1.80, 95% CI 1.3–2.44) and birthweight <1000 g (aOR 21.35, 95% CI 12.54–36.33) were associated with preterm perinatal mortality.
Conclusions
Preterm birth and perinatal mortality in Nigeria are high. Efforts should be made to enhance access to quality health care during pregnancy, delivery and the neonatal period, and improve the parental socio-economic status.
期刊介绍：
BJOG is an editorially independent publication owned by the Royal College of Obstetricians and Gynaecologists (RCOG). The Journal publishes original, peer-reviewed work in all areas of obstetrics and gynaecology, including contraception, urogynaecology, fertility, oncology and clinical practice. Its aim is to publish the highest quality medical research in women''s health, worldwide.
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