Evidence map›Paper›PMID 35413832›Full record

ArticleMalaria journal2022

Impact of insecticide-treated nets and indoor residual spraying on self-reported malaria prevalence among women of reproductive age in Ghana: implication for malaria control and elimination.

Yakubu Alhassan, Duah Dwomoh, Susan Ama Amuasi, Justice Nonvignon, Harriet Bonful, Mary Tetteh, Kofi Agyabeng, Martha Kotey, Alfred E Yawson, Samuel Bosomprah

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  15. RTS,S/AS01Malaria journal · 2023
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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

10 authors at 2 institutions in 1 country.

Yakubu AlhassanDepartment of Health Policy, Planning and Management, School of Public Health, University of Ghana, Accra, Ghana.
Duah DwomohDepartment of Biostatistics, School of Public Health, University of Ghana, Accra, Ghana. duahdwomoh@ug.edu.gh.ORCID http://orcid.org/0000-0002-2726-9929
Susan Ama AmuasiDepartment of Physician Assistantship and Public Health, School of Medicine and Health Sciences, Central University College, Accra, Ghana.
Justice NonvignonDepartment of Health Policy, Planning and Management, School of Public Health, University of Ghana, Accra, Ghana.
Harriet BonfulDepartment of Epidemiology, School of Public Health, University of Ghana, Accra, Ghana.
Mary TettehDepartment of Health Policy, Planning and Management, School of Public Health, University of Ghana, Accra, Ghana.
Kofi AgyabengDepartment of Biostatistics, School of Public Health, University of Ghana, Accra, Ghana.
Martha KoteyDepartment of Epidemiology, School of Public Health, University of Ghana, Accra, Ghana.
Alfred E YawsonDepartment of Community Health, University of Ghana Medical School, University of Ghana, Accra, Ghana.
Samuel BosomprahDepartment of Biostatistics, School of Public Health, University of Ghana, Accra, Ghana.
University of Ghana · GHCentral University · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Global Fund alone contributed 56% of all international financing for malaria and has invested more than US$13.5 billion in malaria treatment, prevention, and control programmes by June 2021. These investments include interventions such as mosquito nets, indoor residual spraying, and preventive treatment for children and pregnant women. However, there is paucity of studies for assessment of such investments to a reduction in malaria prevalence. This study was aimed at quantifying the impact of household access to insecticide-treated nets (ITNs) and the indoor residual spraying (IRS) on self-reported malaria prevalence among women of reproductive age in Ghana.

methodsThe study analysed the 2016 Ghana Malaria Indicator Survey (MIS) data. The MIS is a nationwide survey that included women aged 15-49 years. Poisson regression model with inverse probability to treatment weighting was used to determine average treatment effect estimate of the two malaria interventions on self-reported malaria prevalence among women of reproductive age in Ghana.

resultsA total sample of 4861 women interviewed from the 2016 Ghana MIS was used for analysis. The prevalence of self-reported malaria in 2016 was 34.4% (95% CI [32.4%, 36.4%]). Approximately 80.0% of women lived in households with access to ITNs [Percentage (Pr) = 79.9%, (95% CI [78.0%, 81.7%])], 12.4% (95% CI [7.5%, 19.8%]) of the households had access to IRS and 11.4% (95% CI [7.0%, 18.0%]) of the households had access to both ITNs and IRS. Household access to only ITN contributed to 7.1 percentage point (pt) reduction in the self-reported malaria among women (95% CI [- 12.0%, - 2.1%], p = 0.005) whilst IRS at the households contributed to 6.8pt reduction in malaria prevalence (95% CI [- 12.0%, - 2.1%], p = 0.005). Households with access to both ITNs and IRS contributed to a 27.1pt reduction in self-reported malaria prevalence among women (95% CI [- 12.0%, - 2.1%], p = 0.005).

conclusionAccess to both ITNs and application of IRS at the household level contributed to a significant reduction in self-reported malaria prevalence among women of reproductive age in Ghana. This finding confirms the need for integration of malaria control interventions to facilitate attainment of malaria elimination in Ghana.

Indexed as

InsecticidesInsecticide-Treated BednetsMalariaChildFemaleGhanaHumansMosquito ControlPregnancyPrevalenceSelf ReportInsecticides

Identifiers

PMID35413832
PMCPMC9003985
OpenAlexW4223421607

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.