Evidence map›Paper›PMID 30428916›Full record

ArticleMalaria journal2018

Age and gender trends in insecticide-treated net use in sub-Saharan Africa: a multi-country analysis.

Bolanle Olapeju, Ifta Choiriyyah, Matthew Lynch, Angela Acosta, Sean Blaufuss, Eric Filemyr, Hunter Harig, April Monroe, Richmond Ato Selby, Albert Kilian and 1 more

Abstract read
In one paragraph

Article in Malaria journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

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

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  19. Pregnancy Intentions and Maternal Health Behaviours: Observational Study in 18 African Countries.BJOG : an international journal of obstetrics and gynaecology · 2025
    Observational
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12 more citing papers are in PubMed but not listed here.

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.

Bolanle OlapejuPMI VectorWorks Project, Johns Hopkins Center for Communication Programs, School of Public Health, 111 Marketplace, Baltimore, MD, 21202, USA.
Ifta ChoiriyyahDepartment of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.
Matthew LynchPMI VectorWorks Project, Johns Hopkins Center for Communication Programs, School of Public Health, 111 Marketplace, Baltimore, MD, 21202, USA.
Angela AcostaPMI VectorWorks Project, Johns Hopkins Center for Communication Programs, School of Public Health, 111 Marketplace, Baltimore, MD, 21202, USA.
Sean BlaufussPMI VectorWorks Project, Johns Hopkins Center for Communication Programs, School of Public Health, 111 Marketplace, Baltimore, MD, 21202, USA.
Eric FilemyrPMI VectorWorks Project, Johns Hopkins Center for Communication Programs, School of Public Health, 111 Marketplace, Baltimore, MD, 21202, USA.
Hunter HarigPMI VectorWorks Project, Johns Hopkins Center for Communication Programs, School of Public Health, 111 Marketplace, Baltimore, MD, 21202, USA.
April MonroePMI VectorWorks Project, Johns Hopkins Center for Communication Programs, School of Public Health, 111 Marketplace, Baltimore, MD, 21202, USA.
Richmond Ato SelbyPMI VectorWorks Project, Johns Hopkins Center for Communication Programs, School of Public Health, 111 Marketplace, Baltimore, MD, 21202, USA.
Albert KilianPMI VectorWorks Project, Tropical Health LLP, Montagut, Spain.
Hannah KoenkerPMI VectorWorks Project, Johns Hopkins Center for Communication Programs, School of Public Health, 111 Marketplace, Baltimore, MD, 21202, USA. hkoenker@jhu.edu.

Funding

United States Agency for International Development AID-OAA-A-14-00057
6 · The paper itself

Abstract

backgroundThe degree to which insecticide-treated net (ITN) supply accounts for age and gender disparities in ITN use among household members is unknown. This study explores the role of household ITN supply in the variation in ITN use among household members in sub-Saharan Africa.

methodsData was from Malaria Indicator Surveys or Demographic and Health Surveys collected between 2011 and 2016 from 29 countries in sub-Saharan Africa. The main outcome was ITN use the previous night. Other key variables included ITN supply (nets/household members), age and gender of household members. Analytical methods included logistic regressions and meta-regression.

resultsAcross countries, the median (range) of the percentage of households with enough ITNs was 30.7% (8.5-62.0%). Crude analysis showed a sinusoidal pattern in ITN use across age groups of household members, peaking at 0-4 years and again around 30-40 years and dipping among people between 5-14 and 50+ years. This sinusoidal pattern was more pronounced in households with not enough ITNs compared to those with enough ITNs. ITN use tended to be higher in females than males in households with not enough ITNs while use was comparable among females and males in households with enough ITNs. After adjusting for wealth quintile, residence and region, among households with not enough ITNs in all countries, the odds of ITN use were consistently higher among children under 5 years and non-pregnant women 15-49 years. Meta-regressions showed that across all countries, the mean adjusted odds ratio (aOR) of ITN use among children under 5 years, pregnant and non-pregnant women aged 15-49 years and people 50 years and above was significantly higher than among men aged 15-49 years. Among these household members, the relationship was attenuated when there were enough ITNs in the household (dropping 0.26-0.59 points) after adjusting for geographical zone, household ITN supply, population ITN access, and ITN use:access ratio. There was no significant difference in mean aOR of ITN use among school-aged children compared to men aged 15-49 years, regardless of household ITN supply.

conclusionsThis study demonstrated that having enough ITNs in the household increases level of use and decreases existing disparities between age and gender groups. ITN distribution via mass campaigns and continuous distribution channels should be enhanced as needed to ensure that households have enough ITNs for all members, including men and school-aged children.

Indexed as

Family CharacteristicsAdolescentAdultAfrica South of the SaharaAgedAge FactorsChildChild, PreschoolFemaleHumansInfantInfant, NewbornInsecticide-Treated BednetsMalariaMaleMiddle AgedAgeGenderHousehold membersHousehold supplyInsecticide-treated netsSub-Saharan AfricaUse

Identifiers

PMID30428916
PMCPMC6234545

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.