Evidence map›Paper›PMID 35603662›Full record

ArticleWomen's health (London, England)

Multilevel analysis of factors associated with utilization of institutional delivery in Ethiopia.

Sali Suleman Hassen, Sebwedin Surur Jemal, Meseret Mesfin Bambo, Mesfin Esayas Lelisho, Seid Ali Tareke, Amanuel Mengistu Merera, Admasu Markos Kontuab

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Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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10citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sali Suleman HassenDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia.ORCID 0000-0003-2940-4167
Sebwedin Surur JemalDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia.
Meseret Mesfin BamboDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia.
Mesfin Esayas LelishoDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia.
Seid Ali TarekeDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia.ORCID 0000-0002-7653-6026
Amanuel Mengistu MereraDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia.
Admasu Markos KontuabDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia.ORCID 0000-0001-7524-5086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe maternal mortality rate in poor nations remains unacceptably high. The purpose of this study was to identify factors associated with institutional delivery usage.

methodsThe data came from the Ethiopian mini demographic and health survey, which was conducted in 2019. This study comprised 3978 women of reproductive age who had given birth within the previous 5 years. To uncover significantly linked parameters associated with institutional delivery, we used a multilevel logistic regression model. Statistical significance was declared at p < 0.05, and we assessed the strength of association using adjusted odds ratios with 95% confidence intervals.

resultsMore than half of the women (53.67%) among 3978 women with last birth had their babies delivered in a health facility. In the multilevel logistic regression analysis, women in age group 45-49 (AOR = 2.43, 95% CI: 1.280, 4.591), primary educational level (AOR = 2.21, 95% CI: 1.864, 2.625, secondary and above education level (AOR = 6.37, 95% CI: 4.600, 8.837), being Muslim (AOR = 2.57, 95% CI: 1.245, 2.166), women who visited ANC service four up to seven times (AOR = 2.75, 95% CI: 2.175, 3.473), women visited ANC service eight times and above (AOR = 3.295% CI: 1.685, 6.050), women who reside in middle wealth index (AOR = 1.57, 95% CI: 1.273, 1.950), and rich wealth index (AOR = 3.43, 95% CI: 2.782, 4.225) were more likely to give birth at health institution compared to their counterparts. Furthermore, women being in rural area (AOR = 0.34, 95% CI:- 0.283, 0.474) and protestant women (AOR = 0.1.57, 95% CI: 0.479, 0.852) were less likely to deliver at health institution.

conclusionsEthiopia still has a low level of institutionalized delivery. Institutional delivery in Ethiopia should be improved through context-specific and personalized programs, such as educating women and enhancing access to ANC services.

Indexed as

Delivery, ObstetricHealth FacilitiesChild, PreschoolEducational StatusEthiopiaFemaleHumansMultilevel AnalysisOdds RatioPregnancyPrenatal Careinstitutional deliveryinterclass correlationlogistic regressionmaternal mortalitymultilevel

Identifiers

PMID35603662
PMCPMC9130816

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.