Evidence map›Paper›PMID 28347281›Full record

ArticleBMC pregnancy and childbirth2017

A structural equation analysis on the relationship between maternal health services utilization and newborn health outcomes: a cross-sectional study in Eastern Uganda.

Rornald Muhumuza Kananura, Robert Wamala, Elizabeth Ekirapa-Kiracho, Moses Tetui, Suzanne N Kiwanuka, Peter Waiswa, Leonard K Atuhaire

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
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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

16 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.

Rornald Muhumuza KananuraMakerere University School of Public Health (MakSPH), Makerere University College of Health Sciences, Kampala, Uganda. mk.rornald@yahoo.com.
Robert WamalaDepartment of Planning and Applied Statistics, Makerere University School of Statistics and Planning, Kampala, Uganda.
Elizabeth Ekirapa-KirachoMakerere University School of Public Health (MakSPH), Makerere University College of Health Sciences, Kampala, Uganda.
Moses TetuiMakerere University School of Public Health (MakSPH), Makerere University College of Health Sciences, Kampala, Uganda.
Suzanne N KiwanukaMakerere University School of Public Health (MakSPH), Makerere University College of Health Sciences, Kampala, Uganda.
Peter WaiswaMakerere University School of Public Health (MakSPH), Makerere University College of Health Sciences, Kampala, Uganda.
Leonard K AtuhaireDepartment of Planning and Applied Statistics, Makerere University School of Statistics and Planning, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeonatal and maternal health services have a bearing on neonatal mortality. Direct and indirect factors affecting neonatal health outcomes therefore require understanding to enable well-targeted interventions. This study, therefore, assessed the interrelationship between newborn health outcomes and maternal service utilization factors.

methodsWe investigated maternal health utilization factors using health facility delivery and at least four Antenatal Care (ANC) visits; and newborn health outcomes using newborn death and low birth weight (LBW). We used data from a household cross-sectional survey that was conducted in 2015 in Kamuli, Pallisa and Kibuku districts. We interviewed 1946 women who had delivered in the last 12 months. The four interrelated (Endogenous) outcomes were ANC attendance, health facility delivery, newborn death, and LBW. We performed analysis using a structural equation modeling technique.

resultsA history of newborn death (aOR = 12.64, 95% CI 5.31-30.10) and birth of a LBW baby (aOR = 3.51, 95% CI 1.48-8.37) were directly related to increased odds of newborn death. Factors that reduced the odds of LBW as a mediating factor for newborn death were ANC fourth time attendance (aOR = 0.62, 95% CI 0.45-0.85), having post-primary level education (aOR = 0.68, 95% CI 0.46-0.98) compared to none and being gravida three (aOR = 0.49, 95% CI 0.26-0.94) compared to being gravida one. Mother's age group, 20-24 (aOR = 0.24, 95% CI 0.08-0.75) and 25-29 years (aOR = 0.20, 95% CI 0.05-0.86) compared to 15-19 years was also associated with reduced odds of LBW. Additionally, ANC visits during the first trimester (aOR = 2.04, 95% CI 1.79-2.34), and village health teams (VHTs) visits while pregnant (aOR = 1.14, 95% CI 1.01-1.30) were associated with increased odds of at least four ANC visits, which is a mediating factor for health facility delivery, LBW and newborn death. Surprisingly, newborn death was not significantly different between health facility and community deliveries.

conclusionsAttending ANC at least four times was a mediating factor for reduced newborn death and low birth weight. Interventions in maternal health and newborn health should focus on factors that increase ANC fourth time attendance and those that reduce LBW especially in resource-limited settings. Targeting women with high-risk pregnancies is also crucial for reducing newborn deaths.

Indexed as

Infant MortalityParityAdolescentAdultCross-Sectional StudiesDelivery, ObstetricEducational StatusFemaleHealth FacilitiesHumansInfantInfant, Low Birth WeightInfant, NewbornMaternal AgeMaternal Health ServicesOdds RatioInterrelationshipMaternal health utilizationNewborn outcomesStructural equation modeling

Identifiers

PMID28347281
PMCPMC5369185

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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.