title: Use of remotely reporting electronic sensors for assessing use of water filters and cookstoves in Rwanda.
abstract: Remotely reporting electronic sensors offer the potential to reduce bias in monitoring use of environmental health interventions. In the context of a five-month randomized controlled trial of household water filters and improved cookstoves in rural Rwanda, we collected data from intervention households on product compliance using (i) monthly surveys and direct observations by community health workers and environmental health officers, and (ii) sensor-equipped filters and cookstoves deployed for about two weeks in each household. The adoption rate interpreted by the sensors varied from the household reporting: 90.5% of households reported primarily using the intervention stove, while the sensors interpreted 73.2% use, and 96.5% of households reported using the intervention filter regularly, while the sensors interpreted no more than 90.2%. The sensor-collected data estimated use to be lower than conventionally collected data both for water filters (approximately 36% less water volume per day) and cookstoves (approximately 40% fewer uses per week). An evaluation of intrahousehold consistency in use suggests that households are not using their filters or stoves on an exclusive basis, and may be both drinking untreated water at times and using other stoves ("stove-stacking"). These results provide additional evidence that surveys and direct observation may exaggerate compliance with household-based environmental interventions.
authors.affiliation: Department of Mechanical Engineering, Portland State University , Portland, Oregon 97201, United States.
authors.forename: Evan A
authors.initials: EA
authors.lastname: Thomas
authors.forename: Christina K
authors.initials: CK
authors.lastname: Barstow
authors.forename: Ghislaine
authors.initials: G
authors.lastname: Rosa
authors.forename: Fiona
authors.initials: F
authors.lastname: Majorin
authors.forename: Thomas
authors.initials: T
authors.lastname: Clasen
mesh_terms: D003297:Cooking and Eating Utensils; D003625:Data Collection; D060766:Drinking Water; D004581:Electronics / Q000295:instrumentation; D005191:Family Characteristics; D005374:Filtration / Q000295:instrumentation*; D006794:Household Articles / Q000295:instrumentation; D006801:Humans; D016014:Linear Models; D058998:Remote Sensing Technology / Q000379:methods*; D012424:Rural Population; D012432:Rwanda; D018508:Water Purification / Q000295:instrumentation* / Q000379:methods; D014881:Water Supply
chemical_list: D060766:Drinking Water