Preterm Birth and Associated Factors Among Mothers Who Gave Birth in Fafen Zone Public Hospitals, Somali Regional State, Eastern Ethiopia

Muhumed, Ibrahim Ismail; Kebira, Jemal Yusuf; Mabalhin, Myrla Obejero

doi:10.2147/rrn.s295820

Cited by 13 publications

(14 citation statements)

References 34 publications

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“…Other reported sociodemographic factors included low socio-economic class [ 86 , 108 ], limited maternal education (only primary or no education) [ 77 , 95 , 104 , 106 ], rural residence [ 27 , 30 , 48 , 50 , 81 , 106 ], employment [ 41 , 86 ], Muslim mothers [ 41 ], mothers who had fear of delivery [ 41 ], and mother’s exposure to unfavourable working conditions including stressful jobs [ 41 ], exposure to vibration [ 12 ], and carrying heavy loads [ 24 ] which were all reported to increase the risk of PTB. Additionally, in 6 of the included studies [ 30 , 31 , 34 , 39 , 58 , 86 ], unmarried mothers had increased odds of having PTB compared to their married counterparts.…”

Section: Resultsmentioning

confidence: 99%

“…Premature rupture of membrane (PROM) was another frequently reported risk factor of PTB reported in 15 of the included studies [ 9 , 18 , 19 , 20 , 23 , 27 , 29 , 37 , 50 , 74 , 76 , 77 , 86 , 91 , 103 ]. In addition, other adverse birth outcomes in previous deliveries such as previous abortions [ 49 , 63 , 77 , 81 , 104 ], caesarean delivery [ 26 , 86 ], stillbirths [ 19 , 49 ], miscarriages [ 26 , 94 ], low birth weight [ 26 , 68 ], complicated pregnancy/delivery [ 36 , 57 , 58 , 71 , 74 , 76 , 90 ], and perinatal death [ 68 ] were reported to be associated with increased odds of PTB. Five of the included studies [ 36 , 57 , 58 , 71 , 74 , 76 , 90 ] also reported antepartum haemorrhage as a risk factor for PTB.…”

Section: Resultsmentioning

confidence: 99%

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A Scoping Review of Preterm Births in Sub-Saharan Africa: Burden, Risk Factors and Outcomes

Mabrouk

Abubakar

Too

et al. 2022

IJERPH

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Preterm births (PTB) are the leading cause of neonatal deaths, the majority of which occur in low- and middle-income countries, particularly those in Sub-Saharan Africa (SSA). Understanding the epidemiology of prematurity is an essential step towards tackling the challenge of PTB in the sub-continent. We performed a scoping review of the burden, predictors and outcomes of PTB in SSA. We searched PubMed, Embase, and three other databases for articles published from the database inception to 10 July 2021. Studies reporting the prevalence of PTB, the associated risk factors, and/or its outcomes were eligible for inclusion in this review. Our literature search identified 4441 publications, but only 181 met the inclusion criteria. Last menstrual period (LMP) was the most commonly used method of estimating gestational age. The prevalence of PTB in SSA ranged from 3.4% to 49.4%. Several risk factors of PTB were identified in this review. The most frequently reported risk factors (i.e., reported in ≥10 studies) were previous history of PTB, underutilization of antenatal care (<4 visits), premature rupture of membrane, maternal age (≤20 or ≥35 years), inter-pregnancy interval, malaria, HIV and hypertension in pregnancy. Premature babies had high rates of hospital admissions, were at risk of poor growth and development, and were also at a high risk of morbidity and mortality. There is a high burden of PTB in SSA. The true burden of PTB is underestimated due to the widespread use of LMP, an unreliable and often inaccurate method for estimating gestational age. The associated risk factors for PTB are mostly modifiable and require an all-inclusive intervention to reduce the burden and improve outcomes in SSA.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

A Scoping Review of Preterm Births in Sub-Saharan Africa: Burden, Risk Factors and Outcomes

Mabrouk

Abubakar

Too

et al. 2022

IJERPH

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“…On other hand, the pooled prevalence of preterm birth in Ethiopia was 12% with significant variation among regions [ 70 ]. Pregnancy-induced hypertension, short inter-pregnancies interval, and anemia were the common maternal risk factor for preterm birth in Ethiopia [ 33 , 71 , 72 ], these risks can be managed by improving access and utilization of contraception along with adequate ANC service provision. The supply of antenatal corticosteroids and thermal care together with robust resuscitation capacity are some of the recommendations for a better outcome for neonates since nearly half of preterm infant death in Ethiopia is attributed to respiratory distress syndrome [ 73 ].…”

Section: Discussionmentioning

confidence: 99%

Cause and risk factors of early neonatal death in Ethiopia

et al. 2022

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Background Globally, three fourth of neonatal deaths occur during the early neonatal period, this makes it a critical time to reduce the burden of neonatal death. The survival status of a newborn is determined by the individual (neonatal and maternal), and facility-level factors. Several studies were conducted in Ethiopia to assess early neonatal death; however, most of the studies had limited participants and did not well address the two main determinant factors covered in this study. In response to this gap, this study attempted to examine factors related to early neonatal death based on perinatal death surveillance data in consideration of all the possible determinants of early neonatal death. Methods The national perinatal death surveillance data were used for this study. A total of 3814 reviewed perinatal deaths were included in the study. Bayesian multilevel parametric survival analysis was employed to identify factors affecting the survival of newborns during the early neonatal period. Adjusted time ratio (ATR) with 95% Bayesian credible intervals (CrI) was reported and log-likelihood was used for model comparison. Statistical significance was declared based on the non-inclusion of 1.0 in the 95% CrI. Result More than half (52.4%) of early neonatal deaths occurred within the first two days of birth. Per the final model, as gestational age increases by a week the risk of dying during the early neonatal period is reduced by 6% [ATR = 0.94,95%CrI:(0.93–0.96)]. There was an increased risk of death during the early neonatal period among neonates deceased due to birth injury as compared to neonates who died due to infection [ATR = 2.05,95%CrI:(1.30–3.32)]; however, perinates who died due to complication of an intrapartum event had a lower risk of death than perinates who died due to infection [ATR = 0.87,95%CrI:(0.83–0.90)]. As the score of delay one and delay three increases by one unit, the newborn’s likelihood of surviving during the early neonatal period is reduced by 4% [ATR = 1.04,95%CrI:(1.01–1.07)] and 21% [ATR = 1.21,95%CrI:(1.15–1.27)] respectively. Neonates born from mothers living in a rural area had a higher risk of dying during the early neonatal period than their counterparts living in an urban area [ATR = 3.53,95%CrI:(3.34–3.69)]. As compared to neonates treated in a primary health facility, being treated in secondary [ATR = 1.14,95%CrI:(1.02–1.27)] and tertiary level of care [ATR = 1.15,95%CrI:(1.04–1.25)] results in a higher risk of death during the early neonatal period. Conclusion The survival of a newborn during the early neonatal period is determined by both individual (gestational age, cause of death, and delay one) and facility (residence, type of health facility and delay three) level factors. Thus, to have a positive early neonatal outcome, a tailored intervention is needed for the three major causes of death (i.e Infection, birth injury, and complications of the intrapartum period). Furthermore, promoting maternal health, improving the health-seeking behaviour of mothers, strengthening facility readiness, and narrowing down inequalities in service provision are recommended to improve the newborn’s outcomes during the early neonatal period.

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“…Current evidence shows that there is an association between preterm birth and rural residence. [49][50][51][52][53] Open access gap may be explained by the greater accessibility and availability of maternal health services in metropolitan regions. It has long been understood that social deprivation and the nuanced interactions between them affect prenatal outcomes, including premature birth.…”

Section: Discussionmentioning

confidence: 99%

Developing and validating a risk prediction model for preterm birth at Felege Hiwot Comprehensive Specialized Hospital, North-West Ethiopia: a retrospective follow-up study

et al. 2022

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ObjectiveTo develop and validate a risk prediction model for the prediction of preterm birth using maternal characteristics.DesignThis was a retrospective follow-up study. Data were coded and entered into EpiData, V.3.02, and were analysed using R statistical programming language V.4.0.4 for further processing and analysis. Bivariable logistic regression was used to identify the relationship between each predictor and preterm birth. Variables with p≤0.25 from the bivariable analysis were entered into a backward stepwise multivariable logistic regression model, and significant variables (p<0.05) were retained in the multivariable model. Model accuracy and goodness of fit were assessed by computing the area under the receiver operating characteristic curve (discrimination) and calibration plot (calibration), respectively.Setting and participantsThis retrospective study was conducted among 1260 pregnant women who did prenatal care and finally delivered at Felege Hiwot Comprehensive Specialised Hospital, Bahir Dar city, north-west Ethiopia, from 30 January 2019 to 30 January 2021.ResultsResidence, gravidity, haemoglobin <11 mg/dL, early rupture of membranes, antepartum haemorrhage and pregnancy-induced hypertension remained in the final multivariable prediction model. The area under the curve of the model was 0.816 (95% CI 0.779 to 0.856).ConclusionThis study showed the possibility of predicting preterm birth using maternal characteristics during pregnancy. Thus, use of this model could help identify pregnant women at a higher risk of having a preterm birth to be linked to a centre.

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Preterm Birth and Associated Factors Among Mothers Who Gave Birth in Fafen Zone Public Hospitals, Somali Regional State, Eastern Ethiopia

Cited by 13 publications

References 34 publications

A Scoping Review of Preterm Births in Sub-Saharan Africa: Burden, Risk Factors and Outcomes

A Scoping Review of Preterm Births in Sub-Saharan Africa: Burden, Risk Factors and Outcomes

Cause and risk factors of early neonatal death in Ethiopia

Developing and validating a risk prediction model for preterm birth at Felege Hiwot Comprehensive Specialized Hospital, North-West Ethiopia: a retrospective follow-up study

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