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Adaptive interventions for optimizing malaria control: an implementation study protocol for a block-cluster randomized, sequential multiple assignment trial.

Authors :
Zhou, Guofa
Zhou, Guofa
Lee, Ming-Chieh
Atieli, Harrysone E
Githure, John I
Githeko, Andrew K
Kazura, James W
Yan, Guiyun
Zhou, Guofa
Zhou, Guofa
Lee, Ming-Chieh
Atieli, Harrysone E
Githure, John I
Githeko, Andrew K
Kazura, James W
Yan, Guiyun
Source :
Trials; vol 21, iss 1, 665; 1745-6215
Publication Year :
2020

Abstract

BackgroundIn the past two decades, the massive scale-up of long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) has led to significant reductions in malaria mortality and morbidity. Nonetheless, the malaria burden remains high, and a dozen countries in Africa show a trend of increasing malaria incidence over the past several years. This underscores the need to improve the effectiveness of interventions by optimizing first-line intervention tools and integrating newly approved products into control programs. Because transmission settings and vector ecologies vary from place to place, malaria interventions should be adapted and readapted over time in response to evolving malaria risks. An adaptive approach based on local malaria epidemiology and vector ecology may lead to significant reductions in malaria incidence and transmission risk.Methods/designThis study will use a longitudinal block-cluster sequential multiple assignment randomized trial (SMART) design with longitudinal outcome measures for a period of 3 years to develop an adaptive intervention for malaria control in western Kenya, the first adaptive trial for malaria control. The primary outcome is clinical malaria incidence rate. This will be a two-stage trial with 36 clusters for the initial trial. At the beginning of stage 1, all clusters will be randomized with equal probability to either LLIN, piperonyl butoxide-treated LLIN (PBO Nets), or LLIN + IRS by block randomization based on their respective malaria risks. Intervention effectiveness will be evaluated with 12 months of follow-up monitoring. At the end of the 12-month follow-up, clusters will be assessed for "response" versus "non-response" to PBO Nets or LLIN + IRS based on the change in clinical malaria incidence rate and a pre-defined threshold value of cost-effectiveness set by the Ministry of Health. At the beginning of stage 2, if an intervention was effective in stage 1, then the intervention will be continued. Non-respo

Details

Database :
OAIster
Journal :
Trials; vol 21, iss 1, 665; 1745-6215
Notes :
application/pdf, Trials vol 21, iss 1, 665 1745-6215
Publication Type :
Electronic Resource
Accession number :
edsoai.on1287364498
Document Type :
Electronic Resource