Evidence map›Paper›PMID 36879266›Full record

ArticleBMC health services research2023

Determinants of timing, adequacy and quality of antenatal care in Rwanda: a cross-sectional study using demographic and health surveys data.

Gerard Uwimana, Mohamed Elhoumed, Mitslal Abrha Gebremedhin, Lin Nan, Lingxia Zeng

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
13.4field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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  9. Factors Associated with Late Antenatal Initiation among Women in Malawi.International journal of environmental research and public health · 2024
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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

5 authors at 1 institution in 2 countries.

Gerard UwimanaDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No 76 West Yanta Road, Xi'an, 710061, Shaanxi Province, People's Republic of China.
Mohamed ElhoumedDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No 76 West Yanta Road, Xi'an, 710061, Shaanxi Province, People's Republic of China.
Mitslal Abrha GebremedhinDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No 76 West Yanta Road, Xi'an, 710061, Shaanxi Province, People's Republic of China.
Lin NanDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No 76 West Yanta Road, Xi'an, 710061, Shaanxi Province, People's Republic of China.
Lingxia ZengDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No 76 West Yanta Road, Xi'an, 710061, Shaanxi Province, People's Republic of China. tjzlx@mail.xjtu.edu.cn.
Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntenatal care (ANC) is a recommended intervention to lessen maternal and neonatal mortality. The increased rate in ANC coverage in most Sub-Saharan African countries is not considerably reducing the maternal and neonatal mortality. This disconnection has raised concerns to study further the trend and determinants of the ANC timing and quality. We aimed to assess the determinants and trend of the timing, the adequacy and the quality of antenatal care in Rwanda.

methodA population-based cross-sectional study design. We used data from the 2010,2015 and 2020 Rwanda demographic and health surveys (RDHS). The study included 18,034 women aged 15-49 years. High quality ANC is when a woman had her first ANC visit within 3 months of pregnancy, had 4 or more ANC visits, received services components of ANC during the visits by a skilled provider. Bivariate analysis and multivariable logistic regression were used to assess the ANC (timing and adequacy), the quality of the content of ANC services and the associated factors.

resultsThe uptake of antenatal services increased in the last 15 years. For instance, the uptake of adequate ANC was 2219(36.16%), 2607(44.37%) and 2925(48.58%) respectively for 2010;2015 and 2020 RDHS. The uptake of high quality ANC from 205(3.48%) in 2010 through 510(9.47%) in 2015 to 779(14.99%) in 2020. Women with unwanted pregnancies were less likely to have timely first ANC (aOR:0.76;95%CI:0.68,0.85) compared to planned pregnancies, they were also less likely to achieve a high-quality ANC (aOR: 0.65;95%CI:0.51,0.82) compared to the planned pregnancies. Mothers with a secondary and higher education were 1.5 more likely to achieve a high-quality ANC (aOR:1.50;95%CI:1.15,1.96) compared to uneducated mothers. Increasing maternal age is associated with reduced odds of update of ANC component services (aOR:0.44;95%CI:0.25,0.77) for 40 years and above when referred to teen mothers).

conclusionLow-educated mothers, advanced maternal age, and unintended pregnancies are the vulnerable groups that need to be targeted in order to improve ANC-related indicators. One of the credible measures to close the gap is to strengthen health education, promote family planning, and promote service utilization.

Indexed as

Infant MortalityPrenatal CareAdolescentCross-Sectional StudiesFemaleHumansInfant, NewbornMothersPregnancyRwandaAntenatal careRwandaSustainable development goals

Identifiers

PMID36879266
PMCPMC9988360
OpenAlexW4323308058

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.