Evidence map›Paper›PMID 37486942›Full record

ArticlePloS one2023

A mixed-method study examined the reasons why pregnant women late initiate antenatal care in Northeast Ethiopia.

Melaku Shewaye, Niguss Cherie, Asressie Molla, Abebe Tsegaw, Chalachew Yenew, Dessalegn Tamiru, Sefineh Fenta Feleke, Anteneh Mengist Dessie

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Melaku ShewayeDepartment of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Niguss CherieDepartment of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Asressie MollaDepartment of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Abebe TsegawDepartment of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Chalachew YenewDepartment of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Dessalegn TamiruDepartment of Public Health, College of Medicine and Health Sciences, Jimma University, Jimma, Ethiopia.
Sefineh Fenta FelekeDepartment of Public Health, College of Medicine and Health Science, Woldia University, Woldia, Ethiopia.
Anteneh Mengist DessieDepartment of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.ORCID 0000-0002-5919-9670
Wollo University · ETDebre Tabor University · ETJimma University · ETWoldia University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTimely initiation of antenatal care visits is crucial for ensuring optimal care and health outcomes for women and children. However, late antenatal care initiation among pregnant women in low-income countries including Ethiopia is acknowledged in the literature. Therefore, this study examined why pregnant women initiate antenatal care late in Northeast Ethiopia.

methodsThis study was done using a mixed design approach that included phenomenology and retrospective cross-sectional designs. A retrospective cross-sectional study was deployed among randomly selected 632 medical charts of women who had antenatal care visit in Legambo District primary hospital and health centers. Kaplan Meier curve was used to estimate survival time. Bi-variable and multivariable Cox-proportional hazard regression models were fitted using R-studio-1.2.5033 to identify independent predictors of antenatal care initiation time. Six vignette-based focused group discussions were held with pregnant women who had been purposefully selected. Then, a qualitative content analysis that was informed by the phenomenological theory was done.

resultsThis study indicated that only 195 (30.9%) of women timely initiated their antenatal care follow-up. In a survival analysis, all 632 women contributed 12,474 person-weeks giving a timely antenatal care initiation rate of 15.6 per 1000 person-weeks. According to the multivariable Cox regression models, late antenatal are initiation was found among pregnant women with an unknown last normal menstruation period, no living children, no bad obstetric history, not accompanied by their partner during antenatal care visit, and who lived in a >5-kilometer radius of health facility. In a qualitative analysis, being uncertain whether the pregnancy had occurred, believing that they have a very low probability of experiencing any complications, negative experience with healthcare providers, negative influence from their immediate contacts such as the mother and mother-in-law, and socio-cultural beliefs like "Qare" were found as major reasons why they started antenatal care follow-up late.

conclusionMost pregnant women in Legambo district, northeastern Ethiopia, initiate their antenatal care visits late. Based on the findings of this study, strengthening the pregnant women identification program and performing regular pregnant women's conference will help to achieve early initiation of antenatal care visits. To lessen the negative influence of their immediate contacts, it will also good to include these old moms and husbands in the conference of pregnant women.

Indexed as

Pregnant PeoplePrenatal CareChildCross-Sectional StudiesEthiopiaFemaleHumansMothersPregnancyRetrospective Studies

Identifiers

PMID37486942
PMCPMC10365264
OpenAlexW4385211540

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.