Evidence map›Paper›PMID 40697778›Full record

ArticleSAGE open nursing

Multilevel Analysis of Individual and Community Level Factors Associated with Institutional Delivery in Ethiopia, 2016 Ethiopian Demography and Health Survey.

Masrie Getnet, Addis Temie, Tilahun Fufa, Lake Kumlachew, Abraham Teym

Abstract read
In one paragraph

Article in SAGE open nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

5 authors.

Masrie GetnetDepartment of Epidemiology and Biostatistics, Faculty of Public Health, Institute of Health, Jimma University, Jimma, Ethiopia.
Addis TemieDepartment of Anatomy, Biomedical Sciences, Institute of Health Sciences, Dilla University, Dilla, Ethiopia.
Tilahun FufaDepartment of Health Service, Management and Policy, Faculty of Public Health, Institute of Health, Jimma University, Jimma, Ethiopia.
Lake KumlachewDepartment of Environmental Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
Abraham TeymDepartment of Environmental Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia.ORCID https://orcid.org/0000-0001-5954-0923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The utilization of skilled care before, during, and after childbirth can significantly reduce maternal mortality and save the lives of women and newborns. However, maternal and child mortality remain high and continue to pose a persistent challenge for low-income countries. Therefore, this study was conducted to identify individual- and community-level factors associated with institutional delivery in Ethiopia. Methods: A cross-sectional study design with two-stage clustered sampling was employed using data from the 2016 Ethiopian Demographic and Health Survey (EDHS) to identify individual- and community-level factors associated with institutional delivery in Ethiopia. The study included 643 clusters (communities) and 7,091 women aged 15-49 years. Data were analyzed using two-level mixed-effects logistic regression to estimate the fixed effects of individual- and community-level factors and the random intercept for between-cluster variability, using R software version 3.5.3. Results: In this study, over two-thirds (68%) of women gave birth at home. Institutional delivery was more likely among women with higher education, greater household wealth, frequent antenatal care attendance, and partners with secondary education. Conversely, it was less likely among women with more children and those perceiving long distances to health facilities as a barrier. At the community level, higher average education, media exposure, and recent use of health services were associated with greater institutional delivery use, while rural residence, perceived distance barriers, and regional disparities were linked to lower use. Conclusions: Both individual- and community-level factors were significantly associated with institutional delivery, in both positive and negative directions. Therefore, the Government of Ethiopia and relevant stakeholders should give due attention to the key factors identified in this study.

Indexed as

Communitiesdemographic health surveyEthiopiainstitutional deliverymultilevel analysis

Identifiers

PMID40697778
PMCPMC12280271

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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.