Evidence map›Paper›PMID 33514345›Full record

ArticleBMC public health2021

Household factors and under-five mortality in Bankass, Mali: results from a cross-sectional survey.

David C Boettiger, Emily Treleaven, Kassoum Kayentao, Mahamadou Guindo, Mama Coumaré, Ari D Johnson, Caroline Whidden, Naimatou Koné, Amadou Beydi Cissé, Nancy Padian and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Socioeconomic and Regional Disparities in Under-five Mortality in Indonesia: Insights From Indonesia's 2020 Census.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026
    Article
  8. Article
  9. Mortality among 5 to 19-year-olds in rural Mali.PLOS global public health · 2025
    Article
  10. Review
  11. Article
  12. 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

11 authors at 7 institutions in 3 countries.

David C BoettigerKirby Institute, University of New South Wales, Sydney, 2252, Australia. dboettiger@kirby.unsw.edu.au.ORCID 0000-0002-5951-4503
Emily TreleavenPopulation Studies Center, University of Michigan, Ann Arbor, USA.
Kassoum KayentaoMalaria Research and Training Center, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Mahamadou GuindoMinistère de la Santé et des Affaires Sociales, Bamako, Mali.
Mama CoumaréMinistère de la Santé et des Affaires Sociales, Bamako, Mali.
Ari D JohnsonDepartment of Medicine, University of California, San Francisco, USA.
Caroline WhiddenMuso, Bamako, Mali.
Naimatou KonéMuso, Bamako, Mali.
Amadou Beydi CisséMuso, Bamako, Mali.
Nancy PadianSchool of Public Health, University of California, Berkeley, USA.
Jenny LiuInstitute for Health and Aging, University of California, San Francisco, USA.
Mali-Folkecenter · MLMinistère de la Santé et de l'Hygiène Publique · MLUniversity of California, San Francisco · USUniversité des Sciences, des Techniques et des Technologies de Bamako · MLUniversity of California, Berkeley · USUniversity of Michigan · USUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRural parts of Mali carry a disproportionate burden of the country's high under-five mortality rate. A range of household factors are associated with poor under-five health in resource-limited settings. However, it is unknown which most influence the under-five mortality rate in rural Mali. We aimed to describe household factors associated with under-five mortality in Bankass, a remote region in central Mali.

methodsWe analysed baseline household survey data from a trial being conducted in Bankass. The survey was administered to households between December 2016 and January 2017. Under-five deaths in the five years prior to baseline were documented along with detailed information on household factors and women's birth histories. Factors associated with under-five mortality were analysed using Cox regression.

resultsOur study population comprised of 17,408 under-five children from 8322 households. In the five years prior to baseline, the under-five mortality rate was 152.6 per 1000 live births (158.8 and 146.0 per 1000 live births for males and females, respectively). Living a greater distance from a primary health center was associated with a higher probability of under-five mortality for both males (adjusted hazard ratio [aHR] 1.53 for ≥10 km versus < 2 km, 95% confidence interval [CI] 1.25-1.88) and females (aHR 1.59 for ≥10 km versus < 2 km, 95% CI 1.27-1.99). Under-five male mortality was additionally associated with lower household wealth quintile (aHR 1.47 for poorest versus wealthiest, 95%CI 1.21-1.78), lower reading ability among women of reproductive age in the household (aHR 1.73 for cannot read versus can read, 95%CI 1.04-2.86), and living in a household with access to electricity (aHR 1.16 for access versus no access, 95%CI 1.00-1.34).

conclusionsU5 mortality is very high in Bankass and is associated with living a greater distance from healthcare and several other household factors that may be amenable to intervention or facilitate program targeting.

Indexed as

Child MortalityInfant MortalityRural PopulationChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleMaliProportional Hazards ModelsHouseholdMaliResource-limitedSurveyUnder-five mortality

Identifiers

PMID33514345
PMCPMC7845123
OpenAlexW3125546487

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.