The Tick App: Changing Behaviors With Educational Messaging
- Conditions
- Tick Bites
- Registration Number
- NCT06880692
- Lead Sponsor
- University of Wisconsin, Madison
- Brief Summary
The goal of this work is to evaluate the use of ecological momentary assessments as a tool to assess risk and risk factors for tick encounters and tick-borne diseases. This study will be conducted across the United States, with a focus the upper Midwest and Northeast and with a focus on Wisconsin and will enroll up to 1000 people.
- Detailed Description
In the United States, several online and smart-phone apps are available to ID a tick (TickID app, North Carolina State University), submit a picture of a tick (TickSpotters.org, an outreach tool within the larger TickEncounter resource center by the University of Rhode Island) or submit a tick for testing (among other public health agencies, TickReport.com by the University of Massachusetts Amherst). Although these tools are accessible throughout the U.S., they focus on the Northeast. In addition, they do not assess human behavior and tick encounters nor do these tools evaluate prevention and education strategies. A recent study in the Netherlands evaluated the use and effectiveness of a preventative and educational tick app ("Tekenbeet"). This app was well-appreciated, well-used, and improved the user's intention to implement preventative measures. This also illustrates the move of information acquisition from in-hand leaflets to information provision through smartphones.
In this study, data on human behavior regarding tick encounters and tick prevention measures will be obtained from a smartphone application using momentary assessments methodology to assess real time behavior and movement. Ecological momentary assessments are a methodological tool for gathering quantitative behavioral data in real-time, or within the framework of a participant's daily routine.
The daily logs feature provides researchers information about what the participant's activity, location, tick encounters, and prevention measures used. This study will analyze participants who complete 7 daily logs. Their daily logs will be analyzed against the types of educational messaging presented to them within the Tick App.
During a portion of the year the opening screen will contain a prevention message and daily log reminder instead of the home screen. The screen will provide a tick check reminder, a link to the daily log and for half the users the screen will also include a reminder about another prevention behavior (for example bathing/showering). Users will be randomly assigned to the two groups to assess if the additional prevention message increases prevention behavior (tick checks and showering/bathing) and the number of tick encounters.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 1000
- Will to participate in 7 days worth of daily activity logs within the Tick App.
- be able and willing to provide informed consent
- Completes less than 7 days worth of daily logs or completes 7+ daily logs but not within 12 months.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method Change in number of tick prevention behaviors up to 12 months A goal of the intervention is to see an increase in tick prevention behaviors (tick checks and showering). To measure this, the change in number of tick prevention behaviors will be compared between groups. Data collected when participant completes 7 daily logs in app within 12 months.
- Secondary Outcome Measures
Name Time Method Change in number of self-reported tick encounters up to 12 months A goal of the intervention is to see a decrease in self-reported tick encounters. To measure this, the change in number of self-reported tick encounters will be compared between groups. Data collected when participant completes 7 daily logs in app within 12 months.
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Trial Locations
- Locations (4)
University of Illinois
🇺🇸Urbana, Illinois, United States
Michigan State University
🇺🇸East Lansing, Michigan, United States
Columbia University
🇺🇸New York, New York, United States
Washington State University
🇺🇸Pullman, Washington, United States
University of Illinois🇺🇸Urbana, Illinois, United StatesBecky SmithSub Investigator