Evidence map›Paper›PMID 30326909›Full record

ArticleMalaria journal2018

Free versus purchased mosquito net ownership and use in Budondo sub-county, Uganda.

Patricia Moscibrodzki, Molly Dobelle, Jessie Stone, Charles Kalumuna, Yueh-Hsiu Mathilda Chiu, Nils Hennig

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Patricia MoscibrodzkiIcahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA. patricia.moscibrodzki@gmail.com.ORCID http://orcid.org/0000-0002-4754-1213
Molly DobelleIcahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA.
Jessie StoneSoft Power Health Uganda, P.O. Box 392, Kyabirwa, Uganda.
Charles KalumunaSoft Power Health Uganda, P.O. Box 392, Kyabirwa, Uganda.
Yueh-Hsiu Mathilda ChiuIcahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA.
Nils HennigIcahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY, 10029, USA.

Funding

NIOSH CDC HHS T42 OH008422
6 · The paper itself

Abstract

backgroundWhile the distribution of mosquito bed nets is a widely adopted approach for malaria prevention, studies exploring how the usage of a net may be influenced by its source and other factors remain sparse.

methodsA standardized questionnaire and home-visit observations were used to collect data from 9 villages in Budondo sub-county, Uganda in 2016. Household- and individual-level data were collected, such as bed net ownership (at least one net versus none), acquirement source (free versus purchased), demographics, as well as knowledge of malaria and preventative measures. Net-level data, including alternative uses, and bed net quantity and integrity, were also collected. Mixed effects logistic regression models were performed to identify the key determinants of bed net use.

resultsOverall, the proportion of households with at least one bed net was 40%, while bed net availability was only reported among 27% of all household members. Awareness of the benefits of bed net use was statistically significantly associated with ownership of at least one net (OR = 1.72, 95% CI 1.11-2.68, p = 0.02). Among those who own net(s), the odds of a bed net being correctly used (i.e., to sleep under) after adjusting for potential confounders were significantly lower for nets that were obtained free compared to nets that were purchased by the owners themselves (OR = 0.33, 95% CI 0.21-0.51, p < 0.01), resulting in an alternative use of the net. Other factors such as female gender, children ≤ 5 years old, and pregnancy status were also significantly associated with having a net to sleep under (all p < 0.01).

conclusionUnderstanding inter- and intra-household net-use factors will help malaria control programmes more effectively direct their efforts to increase public health impact. Future studies may additionally consider socioeconomic status and track the lifetime of the net.

Indexed as

Health Knowledge, Attitudes, PracticeAdolescentAdultChildChild, PreschoolFemaleHumansInfantInfant, NewbornInsecticide-Treated BednetsLogistic ModelsMalariaMaleMosquito ControlOwnershipUgandaHouseholdsLong-last insecticidal netsMalariaOwnershipUgandaUse

Identifiers

PMID30326909
PMCPMC6191916

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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.