Evidence map›Paper›PMID 34789283›Full record

ArticleReproductive health2021

Timing of first antenatal care visits and number of items of antenatal care contents received and associated factors in Ethiopia: multilevel mixed effects analysis.

Berhanu Teshome Woldeamanuel, Tadesse Ayele Belachew

Abstract read
In one paragraph

Article in Reproductive health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Berhanu Teshome WoldeamanuelSalale University, Fitche, Oromiya, Ethiopia. berteshome19@gmail.com.ORCID http://orcid.org/0000-0002-1930-5432
Tadesse Ayele BelachewSalale University, Fitche, Oromiya, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReceiving quality antenatal care (ANC) from skilled providers is essential to ensure the critical health circumstances of a pregnant woman and her child. Thus, this study attempted to assess which risk factors are significantly associated with the timing of antenatal care and the number of items of antenatal care content received from skilled providers in recent pregnancies among mothers in Ethiopia.

methodsThe data was extracted from the Ethiopian Demographic and Health Survey 2016. A total of 6645 mothers were included in the analysis. Multilevel mixed-effects logistic regression analysis and multilevel mixed Negative binomial models were fitted to find the factors associated with the timing and items of the content of ANC services. The 95% Confidence Interval of Odds Ratio/Incidence Rate Ratio, excluding one, was reported as significant.

resultsAbout 20% of the mothers initiated ANC within the first trimester, and only 53% received at least four items of antenatal care content. Being rural residents (IRR = 0.82; 95%CI: 0.75-0.90), wanting no more children (IRR = 0.87; 95%CI: 0.79-0.96), and the husband being the sole decision maker of health care (IRR = 0.88; 95%CI: 0.81-0.96), were associated with reduced items of ANC content received. Further, birth order of six or more (IRR = 0.74; 95%CI: 0.56-0.96), rural residence (IRR = 0.0.41; 95%CI: 0.34-0.51), and wanting no more children (IRR = 0.61; 95%CI: 0.48-0.77) were associated with delayed antenatal care utilization.

conclusionsRural residences, the poorest household wealth status, no education level of mothers or partners, unexposed to mass media, unwanted pregnancy, mothers without decision-making power, and considerable distance to the nearest health facility have a significant impact on delaying the timing of ANC visits and reducing the number of items of ANC received in Ethiopia. Mothers should start an antenatal care visit early to ensure that a mother receives all of the necessary components of ANC treatment during her pregnancy.

Indexed as

Prenatal CareRural PopulationChildEthiopiaFemaleHumansMothersPatient Acceptance of Health CarePregnancyPregnant PeopleAntenatal careContents of antenatal careTiming of antenatal care

Identifiers

PMID34789283
PMCPMC8596955

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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.