Evidence map›Paper›PMID 35062893›Full record

ArticleBMC pregnancy and childbirth2022

Disparities in use of skilled birth attendants and neonatal mortality rate in Guinea over two decades.

Betregiorgis Zegeye, Bright Opoku Ahinkorah, Edward Kwabena Ameyaw, Eugene Budu, Abdul-Aziz Seidu, Comfort Z Olorunsaiye, Sanni Yaya

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Betregiorgis ZegeyeHaSET Maternal and Child Health Research Program, Shewarobit Field Office, Shewarobit, Ethiopia.
Bright Opoku AhinkorahSchool of Public Health, Faculty of Health, University of Technology Sydney, Ultimo, Australia.
Edward Kwabena AmeyawSchool of Public Health, Faculty of Health, University of Technology Sydney, Ultimo, Australia.
Eugene BuduDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Abdul-Aziz SeiduDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Comfort Z OlorunsaiyeDepartment of Public Health, Arcadia University, Glenside, PA, USA.
Sanni YayaSchool of International Development and Global Studies, Faculty of Social Sciences, University of Ottawa, 120 University Private, Ottawa, ON, K1N 6N5, Canada. sanni.yaya@uOttawa.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal mortality remains high in sub-Saharan African countries, including Guinea. Skilled birth attendance (SBA) is one of the crucial interventions to avert preventable obstetric complications and related maternal deaths. However, within-country inequalities prevent a large proportion of women from receiving skilled birth attendance. Scarcity of evidence related to this exists in Guinea. Hence, this study investigated the magnitude and trends in socioeconomic and geographic-related inequalities in SBA in Guinea from 1999 to 2016 and neonatal mortality rate (NMR) between 1999 and 2012.

methodsWe derived data from three Guinea Demographic and Health Surveys (1999, 2005 and 2012) and one Guinea Multiple Indicator Cluster Survey (2016). For analysis, we used the 2019 updated WHO Health Equity Assessment Toolkit (HEAT). We analyzed inequalities in SBA and NMR using Population Attributable Risk (PAR), Population Attributable Fraction (PAF), Difference (D) and Ratio (R). These summary measures were computed for four equity stratifiers: wealth, education, place of residence and subnational region. We computed 95% Uncertainty Intervals (UI) for each point estimate to show whether or not observed SBA inequalities and NMR are statistically significant and whether or not disparities changed significantly over time.

resultsA total of 14,402 for SBA and 39,348 participants for NMR were involved. Profound socioeconomic- and geographic-related inequalities in SBA were found favoring the rich (PAR = 33.27; 95% UI: 29.85-36.68), educated (PAR = 48.38; 95% UI: 46.49-50.28), urban residents (D = 47.03; 95% UI: 42.33-51.72) and regions such as Conakry (R = 3.16; 95% UI: 2.31-4.00). Moreover, wealth-driven (PAF = -21.4; 95% UI: -26.1, -16.7), education-related (PAR = -16.7; 95% UI: -19.2, -14.3), urban-rural (PAF = -11.3; 95% UI: -14.8, -7.9), subnational region (R = 2.0, 95% UI: 1.2, 2.9) and sex-based (D = 12.1, 95% UI; 3.2, 20.9) inequalities in NMR were observed between 1999 and 2012. Though the pattern of inequality in SBA varied based on summary measures, both socioeconomic and geographic-related inequalities decreased over time.

conclusionsDisproportionate inequalities in SBA and NMR exist among disadvantaged women such as the poor, uneducated, rural residents, and women from regions like Mamou region. Hence, empowering women through education and economic resources, as well as prioritizing SBA for these disadvantaged groups could be key steps toward ensuring equitable SBA, reduction of NMR and advancing the health equity agenda of "no one left behind."

Indexed as

Delivery, ObstetricFemaleGuineaHealthcare DisparitiesHumansInfantInfant MortalityParturitionPregnancySocial Determinants of HealthSociodemographic FactorsSocioeconomic FactorsDHSGlobal healthGuineainequalitymaternal healthMICSneonatal mortalitySkilled birth attendance

Identifiers

PMID35062893
PMCPMC8783403

What OpenQuestion holds

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LicenceCC BY
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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.