Evidence map›Paper›PMID 40877864›Full record

ArticleMalaria journal2025

Assessing the external validity of mobile phone surveys for monitoring ITN coverage indicators: a comparison with household surveys in Tanzania.

Matt Worges, Ruth Ashton, Janna Wisniewski, Paul Hutchinson, Hannah Koenker, Tory Taylor, Hannah Metcalfe, Ester Elisaria, Charles Dismas Mwalimu, Peter Gitanya and 2 more

Abstract readComparative Study
In one paragraph

Article in Malaria journal, 2025. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Matt WorgesCelia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA. mworges@tulane.edu.
Ruth AshtonCenter for Applied Malaria Research and Evaluation, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Janna WisniewskiCelia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Paul HutchinsonCelia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Hannah KoenkerTropical Health, Baltimore, MD, USA.
Tory TaylorCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Hannah MetcalfeViamo, Dar Es Salaam, Tanzania.
Ester ElisariaIfakara Health Institute, Mikocheni, Keko Avenue. Dar Es Salaam Branch, Dar Es Salaam, Tanzania.
Charles Dismas MwalimuNational Malaria Control Programme, Ministry of Health, Dodoma, Tanzania.
Peter GitanyaNational Malaria Control Programme, Ministry of Health, Dodoma, Tanzania.
Frank ChackyNational Malaria Control Programme, Ministry of Health, Dodoma, Tanzania.
Josh YukichCenter for Applied Malaria Research and Evaluation, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.

Funding

Bill and Melinda Gates Foundation INV-058446USAID/PMI 72062120C00001
6 · The paper itself

Abstract

backgroundInsecticide-treated net (ITN) coverage indicators allow country malaria programmes to understand the overall coverage of their ITN distribution activities and can be used to forecast the need for additional ITN procurement and to plan future distribution campaigns. As a result, more frequent data collection could better guide programme strategies, particularly for those strategies operating on an annual framework; however, the high costs and infrequency of national-scale, household surveys limit their practicality for ongoing monitoring. Due to the rapid growth trend of mobile phone ownership in low- and middle-income countries in recent years, mobile phone-based surveys (MPS) have emerged as a comparatively inexpensive alternative to large-scale household surveys.

methodsContemporaneous to the 2017 Malaria Indicator Survey and the 2022 Demographic and Health Survey, a random digit dial and list-based MPS were conducted in Tanzania, respectively. All surveys allowed for the calculation of the same ITN coverage indicators at the regional level which permitted an assessment of the external validity of the MPS.

resultsMean measures of absolute bias, as derived from Bland-Altman analyses, for survey raked estimates of households with at least one bed net of any type and household population with access to a bed net of any type were negative for both surveys. These MPS estimates were, on average, consistently lower than corresponding estimates from the household surveys by 7-8 percentage points. Proportion of households with at least one bed net of any type for every two people was unbiased with measures of 0.02 [95% CI - 0.04, 0.08] for the initial MPS and 0.02 [95% CI - 0.03, 0.06] for the 2022 MPS, following survey raking, relative to the household surveys.

conclusionsMPS consistently underestimated household ITN access compared to contemporaneous household surveys, but the direction and magnitude of bias were stable across years. While this limits their use as a direct substitute for household surveys, MPS may still offer timely, conservative signals of declining coverage where other data are delayed or unavailable. With further validation and potential adjustment for bias, MPS could complement traditional monitoring approaches, especially in contexts where rapid data are needed to guide programme decisions.

Indexed as

Cell PhoneInsecticide-Treated BednetsMalariaMosquito ControlAdultFamily CharacteristicsFemaleHumansMaleSurveys and QuestionnairesTanzaniaYoung AdultBiasCoverage indicatorsExternal validityITNMobile phone surveyRandom digit dialTanzania

Identifiers

PMID40877864
PMCPMC12392589

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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.