The goal of this prospective, digital randomized controlled trial is to evaluate theeffectiveness of a predictive ILI detection algorithm and associated alerts duringinfluenza season for adults living in the contigent United States. The main studyobjectives are to assess the effectiveness of predictive ILI detection algorithm andassociated alerts on protective behaviors related to ILI and assess the accuracy of apredictive ILI detection algorithm using participant self-reported ILI symptoms anddiagnosis.
Not Provided
Behavioral: ILI Predictive Alerts, Reactive Content, and Proactive Content
Participants receive ILI-related education, feedback, and opportunities to self-monitor
ILI symptoms, in addition they also receive alerts about potential ILI illness, and
reactive and personalized content about protective health behaviors.
Behavioral: ILI Predictive Alerts, Reactive Content
Participants receive alerts about potential ILI illness, and reactive and personalized
content about protective health behaviors.
Behavioral: Proactive Content
Participants receive ILI-related education, feedback, and opportunities to self-monitor
ILI symptoms.
Behavioral: No Intervention
Participants will not receive predictive alerts or reactive content after reporting
symptoms or proactive IILI-related health educational content
Inclusion Criteria:
- Member of the Evidation platform
- 18 years or older
- Lives in the U.S.
- Currently owns and uses a consumer wearable activity tracker (Apple Watch, Garmin,
or Fitbit) linked to their Evidation account
- Meets data density requirements for wearable data: Steps and heart rate data present
for 15% of the last 60 days (or no fewer than 2 total days for Evidation accounts
less than 60 days old)
Exclusion Criteria:
- Does not have an Evidation account
- Not 18 years or older
- Does not live in the U.S.
- Does not have an activity tracker linked to their Evidation account
- Enrolled in an Evidation supported ILI monitoring and engagement program, or
clinical study (e.g., FluSmart)
Evidation Health
San Mateo 5392423, California 5332921, United States
Ernesto H.N. Ramirez, PhD, Principal Investigator
Evidation