Evidence map›Paper›PMID 25024120›Full record

ArticleHealth & place2014

Trends in childhood mortality in Kenya: the urban advantage has seemingly been wiped out.

E W Kimani-Murage, J C Fotso, T Egondi, B Abuya, P Elungata, A K Ziraba, C W Kabiru, N Madise

Abstract read
In one paragraph

Article in Health & place, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Evidence-informed policy for monitoring SDG 3 in the Legal Amazon region: A rapid review.Revista panamericana de salud publica = Pan American journal of public health · 2025
    Review
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  11. Inequalities and Trends in Under-Five Mortality Between Formal and Informal Areas in Ouagadougou, Burkina Faso.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
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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.

E W Kimani-MurageAfrican Population and Health Research Center (APHRC), P.O. 10787, 00100 Nairobi, Kenya. Electronic address: ekimani@aphrc.org.
J C FotsoConcern Worldwide, New York, USA.
T EgondiAfrican Population and Health Research Center (APHRC), P.O. 10787, 00100 Nairobi, Kenya.
B AbuyaAfrican Population and Health Research Center (APHRC), P.O. 10787, 00100 Nairobi, Kenya.
P ElungataAfrican Population and Health Research Center (APHRC), P.O. 10787, 00100 Nairobi, Kenya.
A K ZirabaAfrican Population and Health Research Center (APHRC), P.O. 10787, 00100 Nairobi, Kenya.
C W KabiruAfrican Population and Health Research Center (APHRC), P.O. 10787, 00100 Nairobi, Kenya.
N MadiseCentre for Global Health, Population, Poverty, Policy University of Southampton, Southampton, UK.

Funding

Wellcome TrustWellcome Trust 097146/Z/11/Z
6 · The paper itself

Abstract

backgroundWe describe trends in childhood mortality in Kenya, paying attention to the urban-rural and intra-urban differentials.

methodsWe use data from the Kenya Demographic and Health Surveys (KDHS) collected between 1993 and 2008 and the Nairobi Urban Health and Demographic Surveillance System (NUHDSS) collected in two Nairobi slums between 2003 and 2010, to estimate infant mortality rate (IMR), child mortality rate (CMR) and under-five mortality rate (U5MR).

resultsBetween 1993 and 2008, there was a downward trend in IMR, CMR and U5MR in both rural and urban areas. The decline was more rapid and statistically significant in rural areas but not in urban areas, hence the gap in urban-rural differentials narrowed over time. There was also a downward trend in childhood mortality in the slums between 2003 and 2010 from 83 to 57 for IMR, 33 to 24 for CMR, and 113 to 79 for U5MR, although the rates remained higher compared to those for rural and non-slum urban areas in Kenya.

conclusionsThe narrowing gap between urban and rural areas may be attributed to the deplorable living conditions in urban slums. To reduce childhood mortality, extra emphasis is needed on the urban slums.

Indexed as

Urban HealthChildChild MortalityChild, PreschoolFemaleHealth SurveysHumansInfantInfant MortalityKenyaMalePoverty AreasRural PopulationUrban PopulationChild mortalityInfant mortalitySub-Saharan AfricaUnder five mortalityUrban slums

Identifiers

PMID25024120
PMCPMC4158907

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.