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Trends in comparative efficacy and safety of malaria control interventions for maternal and child health outcomes in Africa: a study protocol for a Bayesian network meta-regression exploring the effect of HIV and malaria endemicity spectrum

dc.contributor.authorAmimo, Floriano
dc.contributor.authorMoon, Troy D.
dc.contributor.authorMagit, Anthony
dc.contributor.authorSacarlal, Jahit
dc.contributor.authorLambert, Ben
dc.contributor.authorNomura, Shuhei
dc.date.accessioned2020-05-29T20:15:28Z
dc.date.available2020-05-29T20:15:28Z
dc.date.issued2019-06
dc.identifier.citationAmimo F, Moon TD, Magit A, et al Trends in comparative efficacy and safety of malaria control interventions for maternal and child health outcomes in Africa: a study protocol for a Bayesian network meta-regression exploring the effect of HIV and malaria endemicity spectrum BMJ Open 2019;9:e024313. doi: 10.1136/bmjopen-2018-024313en_US
dc.identifier.issn2044-6055
dc.identifier.urihttp://hdl.handle.net/1803/10030
dc.description.abstractIntroduction Unprecedented global efforts to prevent malaria morbidity and mortality in sub-Saharan Africa have saved hundreds of thousands of lives across the continent in the last two decades. This study aims to determine how the comparative efficacy and safety of available malaria control interventions intended to improve maternal and child health outcomes have changed over time considering the varied epidemiological contexts on the continent. Methods We will review all randomised controlled trials that investigated malaria control interventions in pregnant women in sub-Saharan Africa and were published between January 1980 and December 2018. We will subsequently use network meta-regression to estimate temporal trends in the relative and absolute efficacy and safety of Intermittent Preventive Treatments, Intermittent Screening and Treatments, Insecticide-treated bed nets, and their combinations, and predict their ranking according to their relative and absolute efficacy and safety over time. Our outcomes will include 12 maternal and 7 child mortality and morbidity outcomes, known to be associated with either malaria infection or control. We will use intention-to-treat analysis to derive our estimates and meta-regression to estimate temporal trends and the effect modification by HIV infection, malaria endemicity and Plasmodium falciparum resistance to sulfadoxine-pyrimethamine, while adjusting for multiple potential confounders via propensity score calibration.en_US
dc.description.sponsorshipThe authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectoren_US
dc.language.isoen_USen_US
dc.publisherBMJ Openen_US
dc.rightsThis is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
dc.source.urihttps://bmjopen.bmj.com/content/9/2/e024313
dc.subjectINTERMITTENT PREVENTIVE TREATMENTen_US
dc.subjectSULFADOXINE-PYRIMETHAMINE RESISTANCEen_US
dc.subjectRANDOMIZED CONTROLLED-TRIALSen_US
dc.subjectPLASMODIUM-FALCIPARUMen_US
dc.subjectUNSTABLE TRANSMISSIONen_US
dc.subjectDIHYDROARTEMISININ-PIPERAQUINEen_US
dc.subjectNEONATAL-MORTALITYen_US
dc.subjectPROPENSITY SCOREen_US
dc.subjectBIRTH-WEIGHTen_US
dc.subjectPREGNANCYen_US
dc.titleTrends in comparative efficacy and safety of malaria control interventions for maternal and child health outcomes in Africa: a study protocol for a Bayesian network meta-regression exploring the effect of HIV and malaria endemicity spectrumen_US
dc.typeArticleen_US
dc.identifier.doi10.1136/bmjopen-2018-024313


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