Evidence map›Paper›PMID 41500664›Full record

ArticleBMJ global health2026

Development of a new wealth index for Tanzania: the moderated effect of the implementation of 1,7- malaria reactive community-based testing and response (1,7-mRCTR) by socioeconomic position (SEP) with malaria prevention.

Chen Gao, Sikai Huang, Haoyue Yin, Shenning Lu, Longsheng Liu, Yeromin P Mlacha, Prosper Chaki, Xiao-Nong Zhou, Ning Xiao, Sol Richardson and 1 more

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Article in BMJ global health, 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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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Chen Gao *National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research, Shanghai, China.ORCID 0009-0002-6953-7933
Sikai Huang *Vanke School of Public Health, Tsinghua University, Beijing, China.
Haoyue YinNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research, Shanghai, China.
Shenning LuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research, Shanghai, China.
Longsheng LiuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research, Shanghai, China.ORCID 0009-0000-8259-3847
Yeromin P MlachaEnvironmental Health and Ecological Science Department, Ifakara Health Institute, Dar es Salaam, Tanzania.
Prosper ChakiEnvironmental Health and Ecological Science Department, Ifakara Health Institute, Dar es Salaam, Tanzania.
Xiao-Nong ZhouNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research, Shanghai, China.
Ning XiaoNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research, Shanghai, China.
Sol RichardsonVanke School of Public Health, Tsinghua University, Beijing, China srichardson@mail.tsinghua.edu.cn wangdq@nipd.chinacdc.cn.
Duoquan WangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research, Shanghai, China srichardson@mail.tsinghua.edu.cn wangdq@nipd.chinacdc.cn.

Funding

the Bill & Melinda Gates Foundation OPP1198779the Bill & Melinda Gates Foundation OPP1213975
6 · The paper itself

Abstract

introductionThe China-UK-Tanzania pilot project of 1,7-malaria reactive community-based testing and response (1,7-mRCTR) approach was implemented in Tanzania between 2015 and 2018. This project targeted villages with the highest malaria incidence to conduct screening and treatment. While socioeconomic factors are known to be strongly associated with malaria burden, their specific impacts on malaria prevention behaviours during the 1,7-mRCTR implementation period remained unclear. This study aimed to construct a household wealth index and investigate its association with malaria prevention outcomes within the context of 1,7-mRCTR.

methodsWe used data from two cross-sectional household surveys conducted in 2015 (baseline) and 2018 (endline), covering 19 686 households. A 12-item wealth index was constructed using Mokken scale analysis, with weighted wealth scores calculated via multiple correspondence analysis to categorise households into wealth tertiles. Using logistic regression within a Difference-in-Differences (DID) framework, we assessed the association between household wealth and the household ownership of useful long-lasting insecticidal nets (LLINs), use of LLINs and use of antimalarial drugs.

resultsAnalysis of the pooled data showed that households in the first (poorest) tertile had significantly lower odds of owing LLINs (OR=0.62, 95% CI 0.54 to 0.70, p<0.001) and using LLINs (OR=0.53, 95% CI 0.45 to 0.62, p<0.001) compared to the third (wealthiest) tertile. The DID analysis, accounting for the interaction between the intervention period (2018 vs 2015) and wealth tertile, showed a significantly greater increase in the odds of owing LLINs (OR=1.26, 95% CI 1.03 to 1.56) and using LLINs (OR=1.88, 95% CI 1.25 to 2.82) among households in the first tertile compared with the third tertile.

conclusionThe wealth index effectively differentiated household socioeconomic status, revealing significant wealth-based disparities in malaria prevention behaviours. Importantly, the implementation of the 1,7-mRCTR approach appears to have had a disproportionately positive effect on poorer households, leading to a reduction in wealth-based inequalities related to key malaria prevention measures.

Indexed as

MalariaMass ScreeningSocial ClassAdultAntimalarialsCross-Sectional StudiesFamily CharacteristicsFemaleHumansInsecticide-Treated BednetsMalePilot ProjectsSocioeconomic FactorsTanzaniaAntimalarialsHealth policyMalariaPublic Health

Identifiers

PMID41500664
PMCPMC12781976

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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.