Evidence map›Paper›PMID 42210295›Full record

Observational studyMalaria journal2026

Comparing reported and observed use of insecticide-treated nets in Tanganyika, Democratic Republic of the Congo: a post-campaign longitudinal household study.

Nono Mvuama, Josue Zanga, Osée Y Sanogo, Baudouin Matela, Tiffany Clark, Aklilu Seyoum, Kristin Banek, Emery Metelo, Victoire Nsabatien, Eric Mafuta and 9 more

Abstract readObservational StudyComparative Study
In one paragraph

Observational study in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

19 authors.

Nono MvuamaKinshasa School of Public Health, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo. nono.mvuama@unikin.ac.cd.
Josue ZangaKinshasa School of Public Health, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Osée Y SanogoU.S. President's Malaria Initiative (PMI), U.S. Centers for Disease Control and Prevention, Kinshasa, Democratic Republic of Congo.
Baudouin MatelaNational Malaria Control Program, Kinshasa, Democratic Republic of Congo.
Tiffany ClarkU.S. President's Malaria Initiative (PMI) VectorLink Project, Abt Associates, Rockville, MD, USA.
Aklilu SeyoumU.S. President's Malaria Initiative (PMI) VectorLink Project, Abt Associates, Rockville, MD, USA.
Kristin BanekCelia Scott Weatherhead School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Emery MeteloEntomology Unit, National Institute for Biomedical Research (INRB), Kinshasa, Democratic Republic of the Congo.
Victoire NsabatienKinshasa School of Public Health, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Eric MafutaKinshasa School of Public Health, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Aimée LuleboKinshasa School of Public Health, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Yung-Ting BonnenfantU.S. President's Malaria Initiative (PMI), U.S. Centers for Disease Control and Prevention, Kinshasa, Democratic Republic of Congo.
Michael HumesU.S. President's Malaria Initiative (PMI), U.S. Centers for Disease Control and Prevention, Kinshasa, Democratic Republic of Congo.
Ferdinand NtoyaU.S. President's Malaria Initiative (PMI), U.S. Centers for Disease Control and Prevention, Kinshasa, Democratic Republic of Congo.
Sheila Ogoma BarasaU.S. President's Malaria Initiative (PMI) VectorLink Project, Abt Associates, Rockville, MD, USA.
Paul MansiangiKinshasa School of Public Health, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Romain Jouffroy *Clinical Epidemiology Unit, Centre for Epidemiology and Population Health (CESP), - U1018 Inserm, Paris Saclay University, Villejuif, France.
Fiacre Agossa *U.S. President's Malaria Initiative (PMI), U.S. Centers for Disease Control and Prevention, Kinshasa, Democratic Republic of Congo.
Seth Irish *Center for Diseases Control and Prevention, US President's Malaria Initiatives, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate measurement of insecticide-treated net (ITN) use is essential for evaluating malaria control programs. Most routine indicators rely on self-reported ITN use, which may be affected by recall and social desirability biases. This study aimed to compare reported and directly observed ITN use, assess the validity of self-reported indicators, and examine behavioral patterns and net durability following a mass distribution campaign in Tanganyika Province, Democratic Republic of the Congo.

methodsA longitudinal observational study was conducted across four survey rounds between April 2021 and August 2022 in Tanganyika province. Household members were directly observed over three consecutive nights to document ITN use and nighttime behaviors, followed by household interviews. Self-reported ITN use was compared with direct observation at the individual level. Diagnostic performance metrics, including sensitivity, specificity, accuracy, and Cohen's Kappa, were calculated using observation as the reference standard. ITN access, reported use, and physical integrity were also assessed over time.

resultsA total of 72 households (456 individuals at baseline) were included. Self-reported ITN use remained high across rounds (average approximately 91%), whereas observed use ranged from 72.9% to 76.5% when expressed relative to the total surveyed population. Sensitivity of self-reported ITN use was consistently high (97.8-99.4%), while specificity was low (18.7-47.7%), indicating frequent misclassification of non-users as users. Overall accuracy ranged from 79.1% to 85.6%, but agreement between reported and observed use was limited (Cohen's Kappa: 0.25-0.56). Direct observation revealed that ITN use was dynamic, with incomplete or inconsistent use occurring throughout the night. ITN access declined over time, and physical integrity deteriorated substantially, although most nets remained serviceable. Reported ITN use among children under five years remained consistently high (97-100%), suggesting prioritization within households.

conclusionsSelf-reported ITN use is a highly sensitive but poorly specific indicator, leading to systematic overestimation of effective coverage. ITN use is dynamic and influenced by both access and net condition, which are not fully captured by standard survey indicators. Malaria control programs should interpret self-reported ITN use with caution and consider complementary approaches to better assess actual protection and sustain effective coverage over time.

Indexed as

Insecticide-Treated BednetsMalariaMosquito ControlAdolescentAdultChildChild, PreschoolDemocratic Republic of the CongoFamily CharacteristicsFemaleHumansInfantLongitudinal StudiesMaleMiddle AgedYoung AdultDemocratic Republic of the CongoDiagnostic performance metricsInsecticide treated netsMalariaObserved behaviorReported useTanganyikaVector control

Identifiers

PMID42210295
PMCPMC13421822

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LicenceCC BY-NC-ND
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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.