Measuring protective efficacy and quantifying the impact of drug resistance: A novel malaria chemoprevention trial design and methodology

Andria Mousa, Gina Cuomo-Dannenburg, Hayley A Thompson, R Matthew Chico, Khalid B Beshir, Colin J Sutherland, David Schellenberg, Roly Gosling, Michael Alifrangis, Emma Filtenborg Hocke, Helle Hansson, Ana Chopo-Pizarro, Wilfred F Mbacham, Innocent M Ali, Mike Chaponda, Cally Roper and Lucy C Okell

PLOS Medicine, 2024, vol. 21, issue 5, 1-18

Abstract: Background: Recently revised WHO guidelines on malaria chemoprevention have opened the door to more tailored implementation. Countries face choices on whether to replace old drugs, target additional age groups, and adapt delivery schedules according to local drug resistance levels and malaria transmission patterns. Regular routine assessment of protective efficacy of chemoprevention is key. Here, we apply a novel modelling approach to aid the design and analysis of chemoprevention trials and generate measures of protection that can be applied across a range of transmission settings. Methods and findings: We developed a model of genotype-specific drug protection, which accounts for underlying risk of infection and circulating genotypes. Using a Bayesian framework, we fitted the model to multiple simulated scenarios to explore variations in study design, setting, and participant characteristics. Conclusions: These findings have important implications for the current guidelines on chemoprevention efficacy studies and will be valuable for informing where these studies should be optimally placed. The results underscore the need for a comparator group in seasonal settings and provide evidence that the extension of follow-up in single-arm trials improves the accuracy of measures of protective efficacy in settings with more stable transmission. Extension of follow-up may pose logistical challenges to trial feasibility and associated costs. However, these studies may not need to be repeated multiple times, as the estimates of drug protection against different genotypes can be applied to different settings by adjusting for transmission intensity and frequency of resistance. Using a novel modelling approach, Mousa and colleagues investigate the design and analysis of malaria chemoprevention trials and generate measures of protection that can be applied across a range of transmission settings.Why was this study done?: What did the researchers do and find?: What do these findings mean?:

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pmed00:1004376

DOI: 10.1371/journal.pmed.1004376

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