Evidence map›Paper›PMID 38748714›Full record

ArticlePLOS global public health2024

Birth preparedness and pregnancy complication readiness and associated factors among pregnant women in Ethiopia: A multilevel analysis.

Addisalem Workie Demsash, Teshome Bekana, Sisay Yitayih Kassie, Adamu Ambachew Shibabaw, Geleta Nenko Dube, Agmasie Damtew Walle, Milkias Dugassa Emanu, Abiy Tasew Dubale, Alex Ayenew Chereka, Gemeda Wakgari Kitil and 5 more

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
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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

15 authors.

Addisalem Workie DemsashHealth Informatics Department, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.ORCID https://orcid.org/0000-0002-9356-8126
Teshome BekanaMedical Laboratory Department, College of Health Science, Mattu University, Metu, Ethiopia.
Sisay Yitayih KassieHealth Informatics Department, College of Health Science, Mattu University, Metu, Ethiopia.
Adamu Ambachew ShibabawHealth Informatics Department, College of Health Science, Mattu University, Metu, Ethiopia.
Geleta Nenko DubeHealth Informatics Department, College of Health Science, Mattu University, Metu, Ethiopia.
Agmasie Damtew WalleHealth Informatics Department, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.
Milkias Dugassa EmanuNursing Department, College of Health Science, Mattu University, Metu, Ethiopia.
Abiy Tasew DubaleHealth Informatics Department, College of Health Science, Mattu University, Metu, Ethiopia.
Alex Ayenew CherekaHealth Informatics Department, College of Health Science, Mattu University, Metu, Ethiopia.
Gemeda Wakgari KitilMidwifery Department, College of Health Science, Mattu University, Metu, Ethiopia.ORCID https://orcid.org/0009-0008-2147-6434
Bekem Dibaba DegefaMidwifery Department, College of Health Science, Mattu University, Metu, Ethiopia.
Aselefech SeyifeReproductive Health Department, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.ORCID https://orcid.org/0000-0003-2909-1578
Abdurahman Mohammed AhmedEpidemiology and Biostatistics Department, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.
Zenebe Abebe GebreegziabherEpidemiology and Biostatistics Department, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.
Sewnet Getaye WorkieEpidemiology and Biostatistics Department, Asrat Woldeyes Health Science Campus, Debre Berhan University, Debre Berhan, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal and child deaths occur during pregnancy and delivery. Timely information on signs of pregnancy complications and ways to plan for normal birth is a strategy to reduce maternal and child deaths. The purpose of this study was to assess birth preparedness, and pregnancy complications readiness and identify associated factors in Ethiopia. A cross-sectional study design was used. A total of 1635 weighted samples of pregnant women were included for analysis from the 2016 Ethiopian demographic and health survey data set. Multilevel mixed-effect logistic regression was used to estimate the effects of potential variables on birth preparedness and complication readiness. STATA version 15 software was used for data processing and analysis. A variable with a p-value < 0.05 with a 95% confidence interval was considered a significant factor. Pregnant women were informed about convulsions (8.02%), fever (35.95%), abdominal pain (28.92%), leaking fluid from the vagina (28.21%), and blurred vision (17.98%). Pregnant women prepared for supplies needed for birth (38.70%), transportation (20.04%), money (18.97%), people's support for birth (5.03%), and blood donors (3.11%). Only 56% and 44.91% of pregnant women had good birth preparedness and were informed about pregnancy complications respectively. Educational status, antenatal care visits, and region were significant factors associated with birth preparedness and complication readiness. Distance to health facility and residency were significantly associated with birth and complication readiness, respectively. Birth preparedness and complication readiness among pregnant women were low in Ethiopia. Empowering women with education, installing safe roads, building accessible health facilities, and emphasizing pregnancy complications and birth preparedness plans during antenatal care visits are important interventions to enhance birth preparedness and pregnancy complication readiness.

Identifiers

PMID38748714
PMCPMC11095755

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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.