Evidence map›Paper›PMID 34162389›Full record

ArticleBMC medicine2021

Health inequities and clustering of fever, acute respiratory infection, diarrhoea and wasting in children under five in low- and middle-income countries: a Demographic and Health Surveys analysis.

Peter Winskill, Alexandra B Hogan, Julie Thwing, Lazaro Mwandigha, Patrick G T Walker, Ben Lambert

Abstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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

20 citing papers in PubMed, 1 synthesis or guideline 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

6 authors.

Peter WinskillMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK. p.winskill@imperial.ac.uk.ORCID 0000-0003-3001-4959
Alexandra B HoganMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Julie ThwingMalaria Branch, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Lazaro MwandighaMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Patrick G T WalkerMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Ben LambertMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

backgroundPneumonia, diarrhoea and malaria are responsible for over one third of all deaths in children under the age of 5 years in low and middle sociodemographic index countries; many of these deaths are also associated with malnutrition. We explore the co-occurrence and clustering of fever, acute respiratory infection, diarrhoea and wasting and their relationship with equity-relevant variables.

methodsMultilevel, multivariate Bayesian logistic regression models were fitted to Demographic and Health Survey data from over 380,000 children in 39 countries. The relationship between outcome indicators (fever, acute respiratory infection, diarrhoea and wasting) and equity-relevant variables (wealth, access to health care and rurality) was examined. We quantified the geographical clustering and co-occurrence of conditions and a child's risk of multiple illnesses.

resultsThe prevalence of outcomes was very heterogeneous within and between countries. There was marked spatial clustering of conditions and co-occurrence within children. For children in the poorest households and those reporting difficulties accessing healthcare, there were significant increases in the probability of at least one of the conditions in 18 of 21 countries, with estimated increases in the probability of up to 0.23 (95% CrI, 0.06-0.40).

conclusionsThe prevalence of fever, acute respiratory infection, diarrhoea and wasting are associated with equity-relevant variables and cluster together. Via pathways of shared aetiology or risk, those children most disadvantaged disproportionately suffer from these conditions. This highlights the need for horizontal approaches, such as integrated community case management, with a focus on equity and targeted to those most at need.

Indexed as

Developing CountriesDiarrheaBayes TheoremChildChild, PreschoolCluster AnalysisCross-Sectional StudiesFamily CharacteristicsHealth SurveysHumansInfantPrevalenceChild healthClusteringDiarrhoeaIntegrated community case managementMalariaMalnutritionPneumonia

Identifiers

PMID34162389
PMCPMC8223394

What OpenQuestion holds

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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.