Evidence map›Paper›PMID 25524400›Full record

ArticleBMC pregnancy and childbirth2014

Poor linkages in maternal health care services-evidence on antenatal care and institutional delivery from a community-based longitudinal study in Tigray region, Ethiopia.

Yohannes Adama Melaku, Berhe Weldearegawi, Fisaha Haile Tesfay, Semaw Ferede Abera, Loko Abraham, Alemseged Aregay, Yemane Ashebir, Friehiwot Eshetu, Ashenafi Haile, Yihunie Lakew and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 5 pooled it
3.5field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 5 syntheses or guidelines pooled it, 36 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

11 authors at 4 institutions in 2 countries.

Yohannes Adama MelakuDepartment of Public Health, Mekelle University, College of Health Sciences, P.O. Box 1871, Mekelle, Ethiopia. adamayohannes@gmail.com.
Berhe WeldearegawiDepartment of Public Health, Mekelle University, College of Health Sciences, P.O. Box 1871, Mekelle, Ethiopia. berheph@gmail.com.
Fisaha Haile TesfayDepartment of Public Health, Mekelle University, College of Health Sciences, P.O. Box 1871, Mekelle, Ethiopia. fisaha.1999@yahoo.com.
Semaw Ferede AberaDepartment of Public Health, Mekelle University, College of Health Sciences, P.O. Box 1871, Mekelle, Ethiopia. semawfer@yahoo.com.
Loko AbrahamDepartment of Medicine, Mekelle University, College of Health Sciences, Mekelle, Ethiopia. lokab77@yahoo.com.
Alemseged AregayDepartment of Nursing, Mekelle University, College of Health Sciences, Mekelle, Ethiopia. alex_aregay@yahoo.com.
Yemane AshebirDepartment of Public Health, Mekelle University, College of Health Sciences, P.O. Box 1871, Mekelle, Ethiopia. yemaneph@gmail.com.
Friehiwot EshetuCenter for Disease Control and Prevention, CDC-Ethiopia, Addis Ababa, Ethiopia. ipk7@cdc.gov.
Ashenafi HaileCenter for Disease Control and Prevention, CDC-Ethiopia, Addis Ababa, Ethiopia. hmx8@cdc.gov.
Yihunie LakewEthiopian Public Health Association (EPHA), Addis Ababa, Ethiopia. yihunielakewt@gmail.com.
John KinsmanDepartment of Public Health and Clinical Medicine, Umeå Centre for Global Health Research, Umeå University, Umeå, 901 85, Sweden. john.kinsman@epiph.umu.se.
Mekelle University · ETAfrica Centres for Disease Control and Prevention · ETEthiopian Public Health Association · ETUmeå University · SE

Funding

NCHHSTP CDC HHS U22 PS022179
6 · The paper itself

Abstract

backgroundProgress towards attaining the maternal mortality and maternal health targets set by Millennium Development Goal 5 has been slow in most African countries. Assessing antenatal care and institutional delivery service utilization and their determinants is an important step towards improving maternal health care services.

methodsData were drawn from the longitudinal database of Kilite-Awlaelo Health and Demographic Surveillance System. A total of 2361 mothers who were pregnant and who gave birth between September 2009 and August 2013 were included in the analysis. Potential variables to explain antenatal care and institutional delivery service utilization were extracted, and descriptive statistics and logistic regression were used to determine the magnitude of maternal health care service utilization and associated factors, respectively.

resultsMore than three-quarters, 76% [95% CI: 74.8%-78.2%] (n = 1806), of mothers had undergone at least one antenatal care visit during their previous pregnancy. However, only 27% [95% CI: 25.3%-28.9%] (n = 639) of mothers gave birth at a health institution. Older mothers, urban residents, mothers with higher education attainment, and farmer mothers were more likely to use antenatal care. Institutional delivery services were more likely to be used among older mothers, urban residents, women with secondary education, mothers who visited antenatal care, and mothers with lower parity.

conclusionsDespite a relatively high proportion of mothers attending antenatal care services at least once, we found low levels of institutional delivery service utilization. Health service providers in Kilite-Awlaelo should be particularly vigilant regarding the additional maternal health needs of rural and less educated women with high parity.

Indexed as

Developing CountriesAdolescentAdultAge FactorsAgricultureDelivery, ObstetricEducational StatusEthiopiaFemaleHealth FacilitiesHome ChildbirthHumansLongitudinal StudiesMiddle AgedParityPregnancy

Identifiers

PMID25524400
PMCPMC4279812
OpenAlexW2130708293

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.