Evidence map›Paper›PMID 29510701›Full record

ArticleMalaria journal2018

Access and adequate utilization of malaria control interventions in rural Malawi: a descriptive quantitative study.

Alinune Nathanael Kabaghe, Michael Give Chipeta, Robert Sean McCann, Dianne Jean Terlouw, Tinashe Tizifa, Zinenani Truwah, Kamija Samuel Phiri, Michèle van Vugt

Open access · goldAbstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 5 institutions in 3 countries.

Alinune Nathanael KabagheCenter of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands. akabaghe@medcol.mw.
Michael Give ChipetaSchool of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre 3, Malawi.
Robert Sean McCannSchool of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre 3, Malawi.
Dianne Jean TerlouwMalawi-Liverpool Wellcome Trust Clinical Research Program, Queen Elizabeth Central Hospital, College of Medicine, Blantyre, Malawi.
Tinashe TizifaSchool of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre 3, Malawi.
Zinenani TruwahManagement Sciences for Health-Malawi Program, EBC Building, Off Paul Kagame Road, Private Bag 398, Lilongwe 3, Malawi.
Kamija Samuel PhiriSchool of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre 3, Malawi.
Michèle van VugtCenter of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands. m.vanvugt@amc.uva.nl.
University of Malawi · MWQueen Elizabeth Central Hospital · MWAcademic Medical Center · NLPublic Health Institute of Malawi · MWUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the availability of cost effective malaria control interventions, such as insecticide-treated bed nets (ITN), diagnosis and effective treatment of malaria, and intermittent preventive treatment during pregnancy (IPTp), the lack of equitable access and coverage affect utilization of these interventions in rural communities. Aggregated rates of access and utilization of malaria interventions in national surveys mask substantial variations in intervention coverage. Utilization of interventions and factors affecting utilization need investigation in rural communities.

methodsOne year of quantitative data collected from a rolling Malaria Indicator Survey (April 2015-April 2016) in Chikhwawa District, Malawi, before the ITN distribution campaign, were analysed. Univariate analyses were used to quantify rates of ITN usage, care-seeking for fever in children aged 6-59 months and women aged 15-49 years and IPTp uptake (for women aged 15-49 years with a recent delivery). Results were compared to national survey estimates; factors associated with these outcomes were determined using multivariate regression models.

resultsA total of 2046 participants were included from 1328 households; 56.6% were women aged 15-49 years and 43.4% were children aged 6-59 months. Reported ownership of at least one ITN per household and under-five children ITN use the previous night were 35.3 and 33.5% compared to 70.2 and 67.1%, respectively, in the national survey; ITN use was higher in high wealth quintile households than low quintile ones. For participants with recent fever, 37.6 and 19.5% sought care and sought care within 24 h, respectively. Care-seeking was lower for febrile women than febrile children [aOR, 95% CI 0.53 (0.35-0.81)]. Uptake of two and three or more doses of IPTp were 40.6 and 15.0%, respectively, among women with a pregnancy in the last 2 years.

conclusionTo achieve effective malaria control, fine-scale or district-based surveillance should be used to identify and target communities requiring scaling up of interventions. Qualitative research and a participatory community approach should be used to address behavioural factors affecting how people make use of interventions.

Indexed as

Health Services AccessibilityHealth Services ResearchAdolescentAdultChild, PreschoolCommunicable Disease ControlDisease Transmission, InfectiousFemaleHumansInfantInsecticide-Treated BednetsMalariaMalawiMaleMiddle AgedRural PopulationInterventionMalariaMalawiRural communities

Identifiers

PMID29510701
PMCPMC5838945
OpenAlexW2794899385

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.