Evidence map›Paper›PMID 38163909›Full record

ArticleTropical medicine and health2024

Women in low- and middle-income countries receive antenatal care at health institutions, yet not delivered there: a multilevel analysis of 2016-2021 DHS data.

Mehari Woldemariam Merid, Dagmawi Chilot, Zeamanuel Anteneh Yigzaw, Alemakef Wagnew Melesse, Menberesibhat Getie Ferede, Fantu Mamo Aragaw, Desalegn Anmut Bitew

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
11.1field-weighted citation impact, top 2% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Modelling spatial heterogeneity in exposure buffers and risk: a hierarchical Bayesian approach.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026
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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

7 authors at 2 institutions in 1 country.

Mehari Woldemariam MeridDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. mehariho19@gmail.com.ORCID http://orcid.org/0000-0003-0231-6722
Dagmawi ChilotDepartment of Human Physiology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Zeamanuel Anteneh YigzawDepartment of Health Promotion and Behavioural Sciences, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Alemakef Wagnew MelesseDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Menberesibhat Getie FeredeDepartments of Human Anatomy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Fantu Mamo AragawDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Desalegn Anmut BitewDepartment of Reproductive Health, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
University of Gondar · ETBahir Dar University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe institutional delivery dropout (IDD) is a major problem that disproportionately affects low- and middle-income countries (LMICs). It is associated with increased risks of adverse birth outcomes among pregnant women. Hence, this study assessed the pooled estimate and determinants of IDD after antenatal care (ANC) visit among women in LMICs.

methodThe Demographic and Health Survey (DHS) data from 29 LMICs were used for this study. Data analysis was performed with STATA version 14. The forest plot was used to estimate the pooled prevalence of IDD. Multilevel binary logistic regression was fitted to identify determinants of IDD. The statistical significance level between the outcome and independent variables was determined through the adjusted odds ratio (AOR) with 95% CI and p-value less than 0.05.

resultThe pooled prevalence of IDD after ANC booking among reproductive age women in LMICs was 22.25% (95%CI: 18.25, 26.25). Additionally, the prevalence of IDD was highest (29.83%) among women from the South and Central Europe and the Caribbean countries and lowest (13.72%) in Central/Western Asia and the Oceania. In the multilevel analysis; no education (AOR = 2.92; 95% CI: 2.72, 3.13), poorest wealth index (AOR = 3.46; 95% CI: 3.28, 3.66), inadequate ANC visits (AOR = 1.73; 95% CI: 1.39, 1.77), no media exposure (AOR = 1.27; 95% CI: 1.23, 1.30), rural (AOR = 1.50; 95% CI: 1.43, 1.54), distance a big problem (AOR = 1.28; 95% CI: 1.25, 1.31), and women located in the South/Eastern Europe and Caribbean region 6.67 (AOR = 6.67; 95% CI: 6.20, 7.20), women lived in low-income countries 7.05 (AOR = 7.05; 95% CI: 6.57, 7.56), and women from lower middle-income countries 5.34 (AOR = 5.57; 95% CI: 4.93, 5.78), had increased odds of IDD after ANC among women in LMICs. However, women who had ever born one child (AOR = 0.29; 95% CI: 0.28, 0.31), and women from Central and Western Asia and the Oceania (AOR = 0.78; 95%CI: 0.74, 0.82) had decreased odds of IDD.

conclusionThe IDD was high among women in LMICs and significantly increased among women with no education, from poorest household, had inadequate ANC visit, no media exposure, rural, distance a big problem. Hence, interventions to reduce IDD should focus on addressing the gaps related to maternal education, access to media, and number of ANC visits among women in LMICs.

Indexed as

DeterminantsInstitution delivery dropoutReproductive age women

Identifiers

PMID38163909
PMCPMC10759610
OpenAlexW4390503564

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.