Risk Factors for Preterm Birth among Women Who Delivered Preterm Babies at Bugando Medical Centre, Tanzania

Rugaimukam, Josephine J.; Mahande, Michael Johnson; Msuya, Sia E.; Philemon, Rune

doi:10.15226/2381-2915/3/2/00124

Cited by 10 publications

(17 citation statements)

References 10 publications

(18 reference statements)

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“…Presence of malaria was associated with PTB as evidenced by the pooled analysis of four studies (AOR 3.08; 95% CI: 2.32-4.10) [42,44,79,83]. The pooled analysis of two studies identified that UTI was significantly associated with PTB (AOR 5.27; 95% CI: 2.98-9.31) [37,64] (Fig. 5).…”

Section: Medical Conditionsmentioning

confidence: 85%

“…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: 92%

“…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%

“…4). Fertility treatment before this pregnancy (AOR 7.0; 95% CI: 1.90-27.26), uterine pain in the current pregnancy (AOR 5.0; 95% CI: 1.7-14.35) and regular menstrual bleeding (AOR 5.8 (2.3-14.86) increased odds of PTB [37]. Cervical incompetence (AOR 11.6, 95% CI: 1.1-121.5) and polyhydramnios (AOR 8.3; 95% CI: 1.7-40.2) were reported by mothers who gave PTB [38].…”

Section: Reproductive Health Factorsmentioning

confidence: 98%

“…The studies were included from 11 East African countries. Nineteen studies were from Tanzania [33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51]…”

Section: Study Characteristicsmentioning

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: Medical Conditionsmentioning

confidence: 85%

Section: Reproductive Health Factorsmentioning

confidence: 92%

Section: Reproductive Health Factorsmentioning

confidence: 97%

Section: Reproductive Health Factorsmentioning

confidence: 98%

“…The studies were included from 11 East African countries. Nineteen studies were from Tanzania [33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51]…”

Section: Study Characteristicsmentioning

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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The prevalence and factors associated with premature birth among post-delivery women in the Mbeya region: An analytical cross-sectional study

Mawolle

Moshi

2022

Preprint

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In Tanzania, there was an increase of prematurity rate from 11.4% in 2014 up to 16.60% in 2016 (1). This is a hospital based analytical cross-sectional study which involved biopsychosocial model, which focused on identifying prevalence and associated factors for preterm births among post-delivery women in Mbeya region, one of Tanzania regions. This study involved hospitals in Mbeya urban, Mbeya rural, Chunya, Kyela, Mbarali, Rungwe, Busokelo and Tukuyu districts, where the prevalence of preterm births in Mbeya found to be 39.1%. The study pointed out that factors associated with preterm births were child spacing of <24months (AOR=3.058; 95% CI = 1.026-9.116: p-value 0.045), non-effective use of malaria prophylaxis during pregnancy (AOR=5.418; 95% CI =1. p-value 0.008), twin pregnancy (AOR=4.657; 95% CI =2.112-10.223, p-value < 0.001), violence during pregnancy (AOR=2.059; p-value 0.048), lack of social support (AOR=1.993; p-value 0.022) and use of pica during pregnancy (AOR=1.880; p-value 0.029). The study outcome revealed that the prevalence of preterm births in Mbeya Region is even higher. Therefore, to minimize or eliminate the problem a deliberate effort to come up with strategies to improve family planning, applications of antimalaria prophylaxis, stop the use of pica and violence during pregnancy was highly recommended.

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Risk factors associated with preterm birth among mothers delivered at Lira Regional Referral Hospital

Etil,

Opio,

Odur

et al. 2023

BMC Pregnancy Childbirth

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Background The World Health Organization (WHO) defines Preterm Birth (PTB) as “a live birth taking place before the expected 37 weeks of gestation”. Annually, approximately 15 million infants are born prematurely, constituting significantly to infant mortality during the initial four weeks of life, responsible for 40% of deaths among children under the age of five. Evidently, preterm deliveries have contributed to 46% of admissions to the neonatal intensive care unit (NICU) at Lira Regional Referral Hospital (LRRH) over the past three years. Paradoxically, while the prevalence of preterm births remains high, there is a lack of documented information regarding the underlying risk factors. Consequently, the primary objective of this study was to assess the potential risk factors associated with preterm birth at LRRH. Methods An analytical cross-sectional research was undertaken at LRRH, employing a quantitative methodology. The study utilized secondary data obtained from a total of 590 comprehensive maternal medical records, of deliveries that occurred at the facility between April 2020 and July 2021. The collected data underwent analysis using STATA version 17 software. To identify predictors of preterm birth, a Logistic regression model was applied, yielding adjusted odds ratios (AOR) alongside 95% confidence intervals (CI). The significance level was set at p < 0.05 to establish statistical significance. Furthermore, assessments for multicollinearity and model fitness were conducted using the Variance Inflation Factor (VIF) and linktest, respectively. Results The prevalence of preterm delivery among mothers who gave birth at LRRH stood at 35.8%. The outcomes of logistic regression analysis revealed that maternal employment status had a statistically significant association with preterm birth (AOR = 0.657, p = 0.037, 95%CI: 0.443–0.975); having a baby with low birth weight (AOR = 0.228, p < 0.001, 95% CI: 0.099–0.527) and experiencing preeclampsia (AOR = 0.142, p < 0.001, 95% CI: 0.088–0.229) were also identified as significant predictors of preterm birth in the study. Conclusions and recommendations The occurrence of preterm delivery is significantly higher (35.8%) among mothers who gave birth at LRRH when compared to the national average (13.6%). The prevalence of preterm birth among mothers was linked to factors such as employment status, delivery of low birth weight infants, and the presence of preeclampsia. Consequently, the research proposes a set of recommendations. Firstly, the Ministry of Health (MoH) should evaluate the present state of readiness within the healthcare system to effectively handle cases of preterm birth both within medical facilities and the community. Secondly, the Ministry of Gender, Labour, and Social Development should leverage Labor Officers to implement and uphold the regulations stipulated in the Employment Act and Labor Laws.

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Risk Factors for Preterm Birth among Women Who Delivered Preterm Babies at Bugando Medical Centre, Tanzania

Cited by 10 publications

References 10 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

The prevalence and factors associated with premature birth among post-delivery women in the Mbeya region: An analytical cross-sectional study

Risk factors associated with preterm birth among mothers delivered at Lira Regional Referral Hospital

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