Institutional Delivery Service Utilization And Associated Factors In Ethiopia: A Systematic Review And Meta Analysis

Nigusie, Adane; Azale, Telake; Yitayal, Mezgebu

doi:10.21203/rs.2.13059/v1

Cited by 2 publications

(5 citation statements)

References 33 publications

(69 reference statements)

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“…The odds of institutional delivery were higher among women whose age range from 15-19 years. This nding is in line to other reports from Ethiopia, Indonesia, Nepal, and ve other East African countries (12,15,20,23). For obvious reasons, young women are more educated and have a better knowledge on the direct and indirect causes of maternal mortality as well as the bene ts of institutional delivery.…”

Section: Discussionsupporting

confidence: 89%

“…Long distances are usually having problems with waking distance, lack of transport, cost, and poor road infrastructure which might be making for rural women to decide on non-institutional delivery (2,3). Former studies from rural coastal Kenya and others reported that, distance to health facility was a fundamental barrier for institutional delivery and an independent factor for home delivery (3,12,14,15,22,23) which is in line to our study.…”

Section: Discussionsupporting

confidence: 87%

“…Therefore, institutional delivery attended by skilled health professionals is crucial for the well-being of the mother and newborns through timely management and treatment of attributable factors (8). Despite the importance of institutional delivery, a signi cant number of deliveries in Ethiopia (69%), Tanzania (59%), Indonesia (57.3%), Kenya-2008/2009 (57%), Kenya-2012 coastal region study (26%), and other sub-Saharan Africa countries are still taking place at home in the absence of specialized service to deal with any potential complications that can happen during delivery (3,(11)(12)(13)(14)(15). Therefore, factors associated with institutional deliveries should be identi ed and interventions on scaling up of maternal and child health service utilizations should be strengthened.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have reported that the factors associated are culture, low socioeconomic status, low maternal or paternal education, rural place of residence, old maternal age, high birth orders and limited availability of services have been observed to be associated with non-institutional deliveries (3,12,14,(18)(19)(20)(21)(22)(23).…”

Section: Introductionmentioning

confidence: 99%

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Determinants of institutional delivery in Kenya. Evidence from population and Demographic health survey,2014

Andegiorgish¹,

Zhu²,

Elhoumed³

et al. 2021

Preprint

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Background: Maternal mortality in Kenya remains high. Analysis of the factors associated with institutional delivery is crucial to inform reproductive health policies and programs in public health. Objective: To identify the factors associated with institutional delivery among women of reproductive age in Kenya.Methods: Data sets for this study were extracted from the 2014 Kenya Demographic health surveys (KDHS, 2014); participants were 20,661 women between the age of 15-49-year. Data sets were analyzed using Chi-square tests, univariate and multivariable binary logistic regression. Factor analysis was used to explore potential subpopulation profiles related to institutional delivery. Results: On national average 62.10% of participant women utilized institutional delivery. Although all sociodemographic variables in this analysis were associated with institutional delivery, multivariable analysis show that women from urban place were 1.37 time (95%CI:1.14-1.65) more likely to delivery in health facility compared to women from rural place. Women with higher education level tended to deliver in health facility compared with no education (Secondary and above: OR:4.03; 95%CI:2.91-5.59; primary level: OR:2.03;95%CI:1.53-2.68). Household wealth status was positively associated, richest 11.12 times (95%CI:7.18-17.22), richer 3.88 times (95% CI:2.96-5.07), middle 2.33 times (95%CI:1.87-2.90), and poorer1.82 times (95% CI:1.40-2.23) more to use institutional delivery than the poorest. The odds of having institutional delivery was 2.58 times (95%CI:2.07-3.23) and 1.44 times (95%CI:1.20-1.71) higher among the first and second to fourth birth orders than five or above respectively. Three common factors with high loading socioeconomic on (Wealth quintile, TV watching, Mother’s education, Radio listening, and Place of residence), family support on (Wanted last child, Mother’s occupation, and Husband education), and women status on (Mother age group, Birth order, and Marital status) were found significantly (p<0.001) associated with institutional delivery. Women with high scores of these factors were tended to received more institutional deliveriesConclusion: Institutional delivery is low in Kenya. Maternal health programs focused on subpopulation profiles should be designed to encourage institutional delivery. Further efforts are needed to improve the accessibility and optimal up-take of institutional delivery.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Determinants of institutional delivery in Kenya. Evidence from population and Demographic health survey,2014

Andegiorgish¹,

Zhu²,

Elhoumed³

et al. 2021

Preprint

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show abstract

“…However, Somali, Afar, some parts of SNNP, Oromia, and Amhara also showed low institutional delivery. This finding is also consistent with a systematic review done in the country(9), EDHS 2016(5), spatial variation study in Northern Ethiopia, and EDHS 2005-2011 (41,42,43) Multilevel analysis of predictors: According to multilevel binary logistic regression analysis, women in the age group of 20-24, 25-29, and 30-34 years had higher odds of institutional delivery. Similar evidences were found in other studies in the country (45,40).…”

Section: Spatial Distributionssupporting

confidence: 88%

Determinants and spatial distribution of institutional delivery in Ethiopia: evidence from Ethiopian Mini Demographic and Health Surveys 2019

Gilano¹,

Hailegebreal²,

Seboka³

2021

Preprint

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Background over the past few decades, maternal and child mortality had drawn the attention of governments and policymakers. Institutional delivery has been among the implementations to reduce maternal and child mortality. The fact that the problem was persisted made studies research for more factors. Thus, the current study was intended for further analyses of EMDHS to identify the magnitude and its spatial patterns and predictors of in institutional delivery. Methods A cross-sectional survey data from EMDHS 2019 was analyzed involving 5,488 reproductive-age women regarding institutional deliveries. We presented descriptive statistics using mean, standard deviations, and proportions. To check the nature of the distribution of institutional delivery, we applied the global Moran’s I statistics. Getis-Ord Gi statistics was applied to detect spatial locations, and we applied spatial interpolation to predict unknown locations of institutional delivery using the Ordinary Kriging method. Kulldorff’s SatScan was also applied to identify the specific local clustering nature of institutional delivery using the Bernoulli method. We applied multilevel binary logistic regression for the scrutiny of Individual and community-level factors. We applied P < 0.25 to include variables in the model and P < 0.05 to declare associations. AOR with 95% CI was used to describe variables Results The prevalence of institution/facility delivery was 2,666.45(48.58%) in the survey. The average number of children was 4.03 ± 2.47, and most women in this survey were in the age group of the 25-29years (31.84%) and 30–34 years (21.61%). Women who learned primary education (AOR = 1.52; 95% CI 1.20–1.95), secondary education (AOR = 1.77; 95% CI 1.03–3.07), and higher education (AOR = 5.41; 95% 1.91–15.25), while those who can read and write sentence (AOR = 1.94; 95% 1.28–2.94), Rich (AOR = 2.40 95% CI 1.82–3.16), and those followed 1–2 ANC (AOR = 2.08; 95% CI 1.57–2.76), 3 ANCs (AOR = 3.24; 95% CI 2.51–418), and ≥ 4 ANCs (AOR = 4.91; 95% CI 3.93–6.15) had higher odds of delivering at health institutions. Conclusion The institutional delivery was unsatisfactory in Ethiopia, and there were various factors associated differently across the regions. Pastoralist regions showed high home delivery than institutions which invites further interventions specific to those regions. Factors like age, highest education level achieved, preceding birth interval, literacy status, wealth status, birth order, regions, and rural residences were all affected institutional delivery so that interventions considering awareness, access, and availability of the services are vital.

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Institutional Delivery Service Utilization And Associated Factors In Ethiopia: A Systematic Review And Meta Analysis

Cited by 2 publications

References 33 publications

Determinants of institutional delivery in Kenya. Evidence from population and Demographic health survey,2014

Determinants of institutional delivery in Kenya. Evidence from population and Demographic health survey,2014

Determinants and spatial distribution of institutional delivery in Ethiopia: evidence from Ethiopian Mini Demographic and Health Surveys 2019

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