Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
NA
6000 participants
INTERVENTIONAL
2017-11-04
2025-12-31
Brief Summary
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Detailed Description
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The study will use a parallel arm cohort cluster-randomized controlled trial design with a 1:1 ratio. The study will randomize 30 clusters (i.e., villages) to treatment or control using stratified randomization by geography (two levels: mountains and plains) and by cluster proportions of reported electric kettle use at baseline. Randomization sequence generation will be conducted by A. Cohen using a random number generator (with a reproducible seed) in Stata v.13.1 (StataCorp, College Station, Texas, USA).
The study will collect data from 30 randomly selected households in 15 villages, for a total of 900 households. This sample size was powered to measure a 15% (or larger) change in electric kettle adoption, because the Chinese Center for Disease Control and Prevention (China CDC) will be unlikely to rollout a national program if adoption rates are less than 15%.
After baseline data collection and randomized allocation, in the intervention group village-level promotion events will take place in November-December of 2017, and will be organized by the provincial and county China CDC, in collaboration with the National Center for Rural Water Supply Technical Guidance (NCRWSTG). At these promotion events, households in the intervention group will be provided free, food-grade quality, electric kettles, as well as promotional materials (a calendar and poster) and information about the benefits of electric kettle use and improved hygiene and sanitation practices.
Because of known issues with decreasing adoption of drinking water treatment after behavior change promotion interventions such as this, and considering expected seasonal variation in boiling practices and frequencies, study data was initially planned to be collected over a period of 12 months (with additional qualitative follow-up via focus groups: 2019-03, 2019-08).
We were able to extend the follow-up data collection period from 12-months to 24-months, so we did not collect data from focus groups in 2019-03 or 2019-08 as originally planned. Follow-up data collection was completed in November 2019.
Due to the COVID-19 pandemic, we again postponed plans to collect data from focus groups (data cleaning efforts were delayed until 2021, and completed at the end of 2022). Logistics allowing, we hope to collect data from focus groups in 2023.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
SINGLE
Study Groups
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Treatment Arm
"Poverty households" invited to attend cluster-level electric kettle promotion events and offered free kettles, information, and promotional materials 450 households in 15 clusters (30 households per cluster)
Electric Kettle Promotion
Provision of free electric kettles and promotional materials/information
Control Arm
450 households in 15 clusters (30 households per cluster)
No interventions assigned to this group
Interventions
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Electric Kettle Promotion
Provision of free electric kettles and promotional materials/information
Eligibility Criteria
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Inclusion Criteria
* Government classified "poverty households" (poverty classification based on 2016 data/records).
Exclusion Criteria
* We will not have any exclusion criterion based on gender, race, ethnicity, language, or literacy.
ALL
Yes
Sponsors
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University of California, Berkeley
OTHER
National Center for Rural Water Supply Technical Guidance (NCRWSTG), China
UNKNOWN
Centers for Disease Control and Prevention, China
OTHER_GOV
Responsible Party
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Alasdair Cohen
Assistant Professor
Principal Investigators
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Yong Tao, Director
Role: PRINCIPAL_INVESTIGATOR
National Center for Rural Water Supply Technical Guidance
Locations
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National Center for Rural Water Supply Technical Guidanceļ¼Chinese Center for Disease Control and Prevention
Beijing, , China
Countries
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Other Identifiers
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2016119356
Identifier Type: -
Identifier Source: org_study_id
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