Show simple item record

dc.contributor.authorKrezanoski, Paul J.
dc.contributor.authorCampbell, Jeffrey I.
dc.contributor.authorSantorino, Data
dc.contributor.authorBangsberg, David R.
dc.date.accessioned2022-05-17T12:40:10Z
dc.date.available2022-05-17T12:40:10Z
dc.date.issued2017-02-03
dc.identifier.citationKrezanoski PJ, Campbell JI, Santorino D, Bangsberg DR (2017) Objective monitoring of Insecticide-treated bednet use to improve malaria prevention: SmartNet development and validation. PLoS ONE 12(2): e0168116.en_US
dc.identifier.urihttp://ir.must.ac.ug/xmlui/handle/123456789/1944
dc.description.abstractMalaria is a serious health concern for three billion people worldwide, killing nearly 600,000 people a year. Insecticide-treated bednets (ITNs) are an effective and valuable tool for preventing malaria and hundreds of millions of ITNs have been distributed throughout sub- Saharan Africa. Nevertheless, our current methods for measuring ITN use are inadequate to inform malaria prevention programs. The most common method, self-reported ITN use, is limited by 1) social desirability, 2) recall and 3) sampling bias. An acceptable objective and longitudinal method of assessing adherence to ITN use would improve our ability to better understand the determinants of ITN use and design more effective malaria prevention interventions. We describe the development and initial proof-of-concept validity testing of an ITN adherence monitoring tool called SmartNet. SmartNet uses conductive thread interwoven into an ITN and a microcontroller to detect the state of the ITN. We tested SmartNet among five volunteers using the device over their beds in Boston, USA for two weeks with the goal of evaluating device reliability, accuracy and acceptability to inform future device improvements. The device recorded data for 63.1% (35172/55711) of installed two-minute time intervals, with 97.3% (19990/20539) of the recording errors relating to battery failures. Overall, the device was 71.7% (25204/35172) accurate in determining the state of the ITN (whether it was folded up or unfurled) and performed significantly better at detecting an unfurled ITN than a folded ITN, 77.3% versus 68.4% (p<0.001). Participants noted no significant acceptability concerns and all participants felt SmartNet was easy or very easy to use. SmartNet is a novel approach to objectively measure ITN adherence over time. Our results suggest a variety of device improvements to both extend reliability and improve performance of Smart- Net prior to deployment in a malaria-endemic setting.en_US
dc.description.sponsorshipAmerican Academy of Pediatrics Resident Research Grant (PJK), the Child Health Foundation Innovative Small Grants Program (PJK) and a Thrasher Research Foundation Early Career Award (PJK; #11892).en_US
dc.language.isoen_USen_US
dc.publisherPLoS ONEen_US
dc.subjectInsecticide-treated bednet useen_US
dc.subjectMalaria preventionen_US
dc.subjectHealth concernen_US
dc.titleObjective monitoring of Insecticide-treated bednet use to improve malaria prevention: SmartNet development and validationen_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record