Evidence map›Paper›PMID 28290505›Full record

ArticleScientific reports2017

A retrospective cohort study to quantify the contribution of health systems to child survival in Kenya: 1996-2014.

Rebecca Anthopolos, Ryan Simmons, Wendy Prudhomme O'Meara

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. A Set of Rapid Diagnostic Tool for Babesia microti Infection.Journal of clinical laboratory analysis · 2025
    Article
  2. Article
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

3 authors.

Rebecca AnthopolosRice University, Houston TX, USA.
Ryan SimmonsDuke Global Health Institute, Durham NC, USA.
Wendy Prudhomme O'MearaDuke Global Health Institute, Durham NC, USA.

Funding

Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
Impact of spatial distribution of health services on child morbidity and mortalityR03HD078600 · NICHD · DUKE UNIVERSITY · PI PRUDHOMMEOMEARA, WENDY · 2015 to 2016
$171k
NCATS NIH HHS UL1 TR001117NICHD NIH HHS R03 HD078600
6 · The paper itself

Abstract

Globally, the majority of childhood deaths in the post-neonatal period are caused by infections that can be effectively treated or prevented with inexpensive interventions delivered through even very basic health facilities. To understand the role of inadequate health systems on childhood mortality in Kenya, we assemble a large, retrospective cohort of children (born 1996-2013) and describe the health systems context of each child using health facility survey data representative of the province at the time of a child's birth. We examine the relationship between survival beyond 59 months of age and geographic distribution of health facilities, quality of services, and cost of services. We find significant geographic heterogeneity in survival that can be partially explained by differences in distribution of health facilities and user fees. Higher per capita density of health facilities resulted in a 25% reduction in the risk of death (HRR = 0.73, 95% CI:0.58 to 0.91) and accounted for 30% of the between-province heterogeneity in survival. User fees for sick-child visits increased risk by 30% (HRR = 1.30, 95% CI:1.11 to 1.53). These results implicate health systems constraints in child mortality, quantify the contribution of specific domains of health services, and suggest priority areas for improvement to accelerate reductions in child mortality.

Indexed as

Child MortalityDelivery, ObstetricInfant MortalityAdolescentAdultChildChild, PreschoolDelivery of Health CareFemaleHealth Care CostsHouse CallsHumansInfantInfant, NewbornKenyaMale

Identifiers

PMID28290505
PMCPMC5349518

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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.