Determinants and outcomes of preterm births at a tertiary hospital in Ghana

Adu‐Bonsaffoh, Kwame; Gyamfi-Bannerman, Cynthia; Oppong, Samuel A.; Seffah, J.D.

doi:10.1016/j.placenta.2019.01.007

Cited by 38 publications

(63 citation statements)

References 29 publications

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“…Women who had hypertension during pregnancy were 5 times more likely to have preterm birth as compared to those who had no hypertension during pregnancy. This study is in agreement with the study done in Gondar [ 6 ], Ghana [ 26 ], Kenya [ 23 ], and Nigeria [ 11 ]. This might be because complications of pregnancy-induced hypertension can cause vascular damage to the placenta or iatrogenesis due to the severity of hypertension or its complications.…”

Section: Discussionsupporting

confidence: 93%

Determinants of Preterm Birth among Mothers Who Gave Birth in Dilla University Referral Hospital, Southern Ethiopia: A Case-Control Study

Wakeyo

Addisu

Mareg

2020

BioMed Research International

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Globally, every year, 1.1 million newborns die due to prematurity. In Ethiopia, 320,000 preterm births occur each year; out of these, 24,400 deaths were due to preterm complications. However, there is little evidence about preterm birth in the study area. Therefore, this study provides an important direction for health professionals, health programmers, and researchers. A facility-based unmatched case-control study design was employed among 244 women (61 cases and 183 controls) who gave birth in Dilla University Referral Hospital and were selected with purposive sampling. The bivariate and multivariable logistic regression model was used to select independent predictors of preterm birth. The multivariate analysis was used, and the results were interpreted using an adjusted odds ratio at 95% confidence interval and statistically significant level at a P value less than 0.05. A total of 240 mothers (60 cases and 180 controls) were included in the study with a 98.3% response rate. Factors like attending secondary educational and above [adjusted odd ratio aOR = 0.07 (0.08-0.65)] and attending antenatal care [ aOR = 0.41 (0.18-0.93)] were protective whereas having urinary tract infection [ aOR = 3.6 (1.1-11)], having human immune virus diseases [ aOR = 4.2 (0.9-18)], having a history of abortion [ aOR = 2.3 (1.1-5)], having a history of preterm delivery [ aOR = 5 (1.6-15)], and having hypertensive disorders of pregnancy [ aOR = 5 (1.9-13)] were significantly associated risk factors for preterm birth. The main determinant factors for preterm birth are having antenatal care follow-up, attending secondary education and above, hypertensive disorders of pregnancy, having HIV/AIDS, and history of abortion. This shows a need to strengthen female education; screen mothers for HIV/AIDS, urinary tract infection, and hypertension; and strengthen nutritional counseling, during ANC visits.

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Section: Discussionsupporting

confidence: 93%

Determinants of Preterm Birth among Mothers Who Gave Birth in Dilla University Referral Hospital, Southern Ethiopia: A Case-Control Study

Wakeyo

Addisu

Mareg

2020

BioMed Research International

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“…In addition, number of ANC visit were another predictor of incidence of preterm birth which was also determined in the studies done in Debremarkos and Gondar Ethiopia [6, 8], Ghana [ 17] and China [18]. This could be due to the importance of recommended ANC follow up and proper visit on detection and early treatment of the problem or any complications.…”

Section: Discussionmentioning

confidence: 82%

Does short inter-pregnancy interval predicts the risk of preterm birth in Northern Ethiopia?

et al. 2019

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Objective The study aimed to assess the effect of inter pregnancy interval on preterm birth in Northern Ethiopia: prospective cohort study. Result This study showed that, total incidence of premature birth was 10.4%. Among mothers with short inter pregnancy interval the incidence of preterm birth was 39 (25.9%).Whereas, among mothers who had recommended inter pregnancy interval was 9 (2.9%). Short inter-pregnancy interval [adjusted hazard ratio (AHR): 6.85, 95% confidence interval (CI) 3.07–15.31], antenatal care (ANC) visit 1–3 times (AHR: 2.24, 95% CI 1.04–4.85), complication during pregnancy (AHR: 3.16, 95% CI 1.58–6.33) and birth defect (AHR: 8.01, 95% CI 2.56–25.07) were predictors of premature birth.

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“…The prematurity rate was 9.4% in the current study. Studies conducted in Lomé (Balaka et al, 2002) reported a similar prematurity rate estimated at 11.1% while in Ghana (Adu-Bonsaffoh et al, 2019), 19% prematurity rate was reported. This difference could be explained by duration of their study which was one calendar year.…”

Section: Discussionmentioning

confidence: 72%

Preventing prematurity: The power of determining factors and challenges in a rural district hospital in Benin

Saizonou¹,

Mongbo²,

Affo³

et al. 2021

J. Public Health Epidemiol.

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Preterm births remain a major public health issue due to its weight in neonatal mortality and the significant socio-economic costs for its care. The aim of the current study was to identify factors associated with preterm births at Allada-Toffo-Zè zone hospital in Benin. This was a case-controlling study, which took place in April 2019. A total of 222 women's files were examined, including 74 cases and 148 controlling samples. Socio-demographic data, health status during pregnancy, previous state of being and health system were collected. Conditional logistic regression was used to identify explanatory factors for prematurity via Stata 15. The prematurity rate was 9.4%. Self-medication OR = 4.99 with 95% CI = [1.71-14.5], alcohol consumption OR = 19.55 with 95% CI = [5.89-64.90], threat to premature birth OR = 3.88 with 95% CI = [1.04-14.35], the mother's occupation OR = 13.22 with a 95% CI = [1.65-105.66] were related to prematurity. Prematurity is a problem that requires corrective actions. Promoting empowerment of women which guarantees good health during pregnancy, as well as enhancing health staff skills will significantly reduce preterm births at Allada-Toffo-Zè district hospital.

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Determinants and outcomes of preterm births at a tertiary hospital in Ghana

Cited by 38 publications

References 29 publications

Determinants of Preterm Birth among Mothers Who Gave Birth in Dilla University Referral Hospital, Southern Ethiopia: A Case-Control Study

Determinants of Preterm Birth among Mothers Who Gave Birth in Dilla University Referral Hospital, Southern Ethiopia: A Case-Control Study

Does short inter-pregnancy interval predicts the risk of preterm birth in Northern Ethiopia?

Preventing prematurity: The power of determining factors and challenges in a rural district hospital in Benin

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