Evidence map›Paper›PMID 30514269›Full record

ArticleBMC public health2018

Temporal trends in spatial inequalities of maternal and newborn health services among four east African countries, 1999-2015.

Corrine W Ruktanonchai, Kristine Nilsen, Victor A Alegana, Claudio Bosco, Rogers Ayiko, Andrew C Seven Kajeguka, Zöe Matthews, Andrew J Tatem

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

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  9. Socioeconomic inequity in coverage and quality of maternal postnatal care in Ethiopia.Tropical medicine & international health : TM & IH · 2023
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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.

Corrine W RuktanonchaiWorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK. c.w.ruktanonchai@soton.ac.uk.ORCID http://orcid.org/0000-0002-7889-3473
Kristine NilsenWorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
Victor A AleganaPopulation Health Theme, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Claudio BoscoWorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.
Rogers AyikoOpen Health Initiative, East African Community Secretariat, Arusha, Tanzania.
Andrew C Seven KajegukaEAC Integrated Health Programme (EIHP), Health Department, East African Community (EAC) Secretariat, Arusha, United Republic of Tanzania.
Zöe MatthewsDivision of Social Statistics and Demography & Centre for Global Health, Population, Poverty and Policy, University of Southampton, Southampton, UK.
Andrew J TatemWorldPop, Geography and Environmental Science, University of Southampton, Southampton, UK.

Funding

Wellcome Trust 106866/Z/15/ZWellcome Trust 204613/Z/16/ZWellcome Trust 211208/Z/18/Z
6 · The paper itself

Abstract

backgroundSub-Saharan Africa continues to account for the highest regional maternal mortality ratio (MMR) in the world, at just under 550 maternal deaths per 100,000 live births in 2015, compared to a global rate of 216 deaths. Spatial inequalities in access to life-saving maternal and newborn health (MNH) services persist within sub-Saharan Africa, however, with varied improvement over the past two decades. While previous research within the East African Community (EAC) region has examined utilisation of MNH care as an emergent property of geographic accessibility, no research has examined how these spatial inequalities have evolved over time at similar spatial scales.

methodsHere, we analysed temporal trends of spatial inequalities in utilisation of antenatal care (ANC), skilled birth attendance (SBA), and postnatal care (PNC) among four East African countries. Specifically, we used Bayesian spatial statistics to generate district-level estimates of these services for several time points using Demographic and Health Surveys data in Kenya, Tanzania, Rwanda, and Uganda. We examined temporal trends of both absolute and relative indices over time, including the absolute difference between estimates, as well as change in performance ratios of the best-to-worst performing districts per country.

resultsAcross all countries, we found the greatest spatial equality in ANC, while SBA and PNC tended to have greater spatial variability. In particular, Rwanda represented the only country to consistently increase coverage and reduce spatial inequalities across all services. Conversely, Tanzania had noticeable reductions in ANC coverage throughout most of the country, with some areas experiencing as much as a 55% reduction. Encouragingly, however, we found that performance gaps between districts have generally decreased or remained stably low across all countries, suggesting countries are making improvements to reduce spatial inequalities in these services.

conclusionsWe found that while the region is generally making progress in reducing spatial gaps across districts, improvement in PNC coverage has stagnated, and should be monitored closely over the coming decades. This study is the first to report temporal trends in district-level estimates in MNH services across the EAC region, and these findings establish an important baseline of evidence for the Sustainable Development Goal era.

Indexed as

FemaleHealthcare DisparitiesHumansInfant, NewbornKenyaMaternal-Child Health ServicesPregnancyRwandaSpatial AnalysisTanzaniaUgandaAntenatal careEast Africa communityMaternal and newborn healthPostnatal careSkilled birth attendanceSpatial interpolationTemporal analysis

Identifiers

PMID30514269
PMCPMC6278077

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LicenceCC BY
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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.