Determinants of preterm birth at Jimma University Medical Center, southwest Ethiopia

Abaraya, Mohammed; Seid, Sheka Shemsi; Ibro, Shemsedin Amme

doi:10.2147/phmt.s174789

Cited by 44 publications

(104 citation statements)

References 16 publications

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“…The presence of chorio-amnionitis (AOR 3.8; 95% CI: 1.3-10.8) [72] and placenta praevia was correlated with PTB (ARR 3.30, 95% CI: 1.34, 8.14) [79]. The pooled analysis of four studies displayed that history of still birth/abortion was positively associated with PTB (AOR 3.93; 95% CI: 2.70-5.70) [10,37,57,64]. The pooled effects of four studies displayed that history of PTB increased the odds of PTB (AOR 3.45; 95% CI: 2.72-4.38) [10,46,64,69] (Fig.…”

Section: Reproductive Health Factorsmentioning

confidence: 97%

“…The pooled effects of four studies illustrated that birth interval less than 24 months was positively associated with PTB (AOR 2.03; 95% CI: 1.57-2.62) [10,57,63,74]. The pooled analyses of four studies (AOR 5.52; 95% CI: 4.32-7.05) [37,38,52,72] and three studies (AOR 5.77, 95% CI 4.27-7.79) [7,38,57] showed that ANC visits < 4 and absence of ANC increased the risk of PTB, respectively. The pooled effects of two studies identified that multiple pregnancy was positively associated with PTB (AOR 3.44; 95% CI: 3.02-3.91) [57,79] (Fig.…”

Section: Reproductive Health Factorsmentioning

confidence: 99%

“…, 11 from Ethiopia[52][53][54][55][56][57][58][59][60][61][62][63], 6 from Kenya[5,54,[64][65][66][67], 7 from Malawi [4, 6, 68-72], 3 from Sudan [10, 73, 74], 3 from Zambia [75-77],3 from Zimbabwe [78-80], 2 from Uganda [7, 81], 2 from Mozambique[82,83], 1 from Rwanda[84], and 1 from Madagascar[85]. Twenty five studies were done by cohort study design[33, 35, 36, 39, 41, 43, 45-50, 59, 61, 65-68, 70, 75, 77, 80, 83-85], 9 studies by case control study design[7,10,37,38,53,55,57,73,79] and 24 studies by cross sectional study design[4-6, 34, 40, 42, 44, 51, 52, 54, 56, 58, 60, 62, 64, 69, 71, 72, 74, 76, 78, 81, 82] (Table 1).…”

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confidence: 99%

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Determinants of preterm birth among mothers who gave birth in East Africa: systematic review and meta-analysis

Laelago¹,

Yohannes

Tsige

2020

Ital J Pediatr

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Background: Preterm birth (PTB) can be caused by different factors. The factors can be classified into different categories: socio demographic, obstetric, reproductive health, medical, behavioral and nutritional related. The objective of this review was identifying determinants of PTB among mothers who gave birth in East African countries. Methods: We have searched the following electronic bibliographic databases: PubMed, Google scholar, Cochrane library, AJOL (African journal online). Cross sectional, case control and cohort study published in English were included. There was no restriction on publication period. Studies with no abstracts and or full texts, editorials, and qualitative in design were excluded. Funnel plot was used to check publication bias. I-squared statistic was used to check heterogeneity. Pooled analysis was done by using fixed and random effect model. The Joanna Briggs Critical Appraisal Tools for review and meta-analysis was used to check the study quality. Results: A total of 58 studies with 134,801 participants were used to identify determinants of PTB. On pooled analysis, PTB was associated with age < 20 years (AOR 1.76, 95% CI: 1.33-2.32), birth interval less than 24 months (AOR 2.03, 95% CI 1.57-2.62), multiple pregnancy (AOR 3.44,95% CI: 3.02-3.91), < 4 antenatal care (ANC) visits (AOR 5.52, 95%

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Section: Reproductive Health Factorsmentioning

confidence: 97%

Section: Reproductive Health Factorsmentioning

confidence: 99%

mentioning

confidence: 99%

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Determinants of preterm birth among mothers who gave birth in East Africa: systematic review and meta-analysis

Laelago¹,

Yohannes

Tsige

2020

Ital J Pediatr

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“…A total of 10 studies that assessed the association of short birth interval with preterm birth in Sub-Saharan African countries were included in this review. Five of the included studies were conducted in Ethiopia (18)(19)(20)(21)(22), two in Tanzania (23,24), two in Kenya (25,26), and one in Ghana (27). Of the ten studies two were cohort study (20,24), ve case-control (18,(21)(22)(23)27) and three cross-sectional (19,25,26).…”

Section: Included Study Characteristicsmentioning

confidence: 99%

Short birth interval predicts the risk of preterm birth among pregnant women in Sub-Saharan Africa: A systematic review and meta-analysis

Mohammed

Abayneh

Bekele

et al. 2020

Preprint

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Background: World health organization recommends that women wait at least 2 years after a live birth to reduce the risk of adverse birth outcomes, like preterm birth, in the subsequent pregnancy. However, studies have reported inconsistent finding regarding short birth interval as risk factor for preterm birth. Therefore, the aim of this systematic review and meta-analysis is to summarize and estimate the pooled effect of short birth interval on preterm birth among pregnant women with previous live birth.Methods: The search strategy aimed to find both published and unpublished studies. The search was conducted from MEDLINE/PubMed, EMBASE, CINAHL, Web of science, MedNar, Google, Google scholar and African Journals online (AJOL). Observational studies which reported the association between short birth interval and preterm birth were included. The methodological quality of selected papers was assessed by two independent individuals prior to their inclusion in the review using standardized Joanna Briggs Institute (JBI) quality assessment tools. The analysis was done using RevMan software. A random effect meta-analysis was used to estimate the pooled effect with a 95% confidence interval. Forest plot was used to visualize the presence of heterogeneity. Funnel plot was used to check for publication bias.Results: From a total of 234 published and unpublished studies identified, 10 studies that were conducted from 2015 to 2019 in Sub-Saharan African countries were included in the analysis. The meta-analysis result showed that Short birth interval had significant effect on preterm birth. The odds of having preterm birth was 2.21 times higher (OR = 2.21, 95% CI = 1.53, 3.21) among pregnant women with short (less than 2 years) birth interval compared to their counter parts. The sub-group analysis showed that the case-control studies showed statistically significant association between short birth interval and preterm birth, but not the cohort studies.Conclusion: Based on our review findings we may recommend that health planner or clinical practitioners should counsel or educate women, considering the health and economic consequence of premature birth, to increase birth interval to at least two years.

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“…The risk factors for preterm birth were; hypertensive disorders of pregnancy, maternal height < 1.50 m, PROM, anemia, urethral tract infection, maternal age < 20, birth interval < 2 years and multiple pregnancy were signi cantly associated with preterm birth (PTBs) (13)(14)(15)(16)(17).…”

Section: Introductionmentioning

confidence: 99%

Determinants of Preterm Birth among Newborns Delivered in Bahir Dar City Public Hospitals, North West Ethiopia

Wassie

Manaye

Abeje

et al. 2020

Preprint

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Background: Globally about 15 million newborns are born preterm every year. Over one million of them die due to complications related to prematurity. Preterm birth was a leading cause of neonatal death in Ethiopia. One in four of neonatal deaths in Ethiopia were due to prematurity related complications. But studies to identify determinants of preterm birth in the study area are limited. Objective: To identify determinants of preterm birth among newborns delivered in Bahir Dar city public hospitals, North West Ethiopia in 2019. Method: An institutional based unmatched case control study was conducted in 314 samples with 105 cases and 209 controls among newborns delivered in Bahir Dar city public hospitals. The sample size was calculated by Epinfo version7. All individual cases were selected consecutively. For each cases two controls were selected by using systematic random sampling technique. Data was collected using interviewer administrated structured questioners. The collected data was entered into Epinfo version 7 and then exported to SPSS version 20. Independent variables with p-value less than 0.2 in the bi-variable analysis were entered into multivariable logistic regression model. Statistical significance level was declared at p-value less than 0.05. Model assumption were checked by Hosmer-lemeshow goodness-of-fit test. Result: The study identified; low birth interval AOR = 2.28 (95 % CI= 1.18- 4.42), lower number of ANC visit AOR = 3.89 (95 % CI =2.17- 6.97), previous history of preterm birth AOR = 5.69 (95 % CI =1.93- 16.66), premature rapture of membrane AOR = 3.58 (95 % CI =1.11-11.54), preeclampsia/eclampsia AOR = 2.86 (95 % CI =1.01- 8.08), lower level hemoglobin level AOR = 3.89 (95 % CI =2.01- 7.51) were positively associated with preterm birth. Conclusion: Previous history of preterm births, preeclampsia and premature rapture of membrane, fewer number of antenatal care visit, lower birth interval, and lower hemoglobin level were found determinants of preterm birth. Therefore encouraging women to attend four or more antenatal care visits, health education on the importance of birth spacing and anemia prevention and treatment may help to prevent preterm birth.

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Determinants of preterm birth at Jimma University Medical Center, southwest Ethiopia

Cited by 44 publications

References 16 publications

Determinants of preterm birth among mothers who gave birth in East Africa: systematic review and meta-analysis

Determinants of preterm birth among mothers who gave birth in East Africa: systematic review and meta-analysis

Short birth interval predicts the risk of preterm birth among pregnant women in Sub-Saharan Africa: A systematic review and meta-analysis

Determinants of Preterm Birth among Newborns Delivered in Bahir Dar City Public Hospitals, North West Ethiopia

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