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Predict + Protect Study: Exploring the Effectiveness of a Predictive Health Education Intervention on the Adoption of Protective Behaviors Related to ILI

Predict + Protect: A Randomized Controlled Trial Exploring the Effectiveness of a Predictive Health Education Intervention on the Adoption of Protective Behaviors Related to Influenza-like Illness (ILI)

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06229444
Enrollment
17043
Registered
2024-01-29
Start date
2024-02-12
Completion date
2024-09-06
Last updated
2024-09-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

COVID-19, Influenza, Influenza A, Influenza B, Respiratory Syncytial Virus (RSV)

Keywords

Flu, Influenza, RSV, COVID, Wearable

Brief summary

The goal of this prospective, digital randomized controlled trial is to evaluate the effectiveness of a predictive ILI detection algorithm and associated alerts during influenza season for adults living in the contigent United States. The main study objectives are to assess the effectiveness of predictive ILI detection algorithm and associated alerts on protective behaviors related to ILI and assess the accuracy of a predictive ILI detection algorithm using participant self-reported ILI symptoms and diagnosis.

Interventions

BEHAVIORALILI 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.

BEHAVIORALILI Predictive Alerts, Reactive Content

Participants receive alerts about potential ILI illness, and reactive and personalized content about protective health behaviors.

BEHAVIORALProactive Content

Participants receive ILI-related education, feedback, and opportunities to self-monitor ILI symptoms.

BEHAVIORALNo Intervention

Participants will not receive predictive alerts or reactive content after reporting symptoms or proactive IILI-related health educational content

Sponsors

Biomedical Advanced Research and Development Authority
CollaboratorFED
Evidation Health
Lead SponsorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
FACTORIAL
Primary purpose
PREVENTION
Masking
SINGLE (Subject)

Masking description

Participants will be blinded to their study participation status, participants will not be asked to take any action to enroll in the study.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

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)

Design outcomes

Primary

MeasureTime frameDescription
The primary objective of this study is to assess the effectiveness of a predictive ILI detection algorithm and associated alerts on ILI-related health and behavioral outcomesThrough study completion, approximately 10 monthsThe difference between the predictive alert and the no predictive alert groups in the proportion of cohort members who performed any target health behavior 1-4 (i.e. performed at least one of: reduced spread, tested, sought medical attention, or was treatment adherent)

Secondary

MeasureTime frameDescription
The secondary objective is to assess the accuracy of an ILI detection algorithm using self-reported symptoms and ILI diagnosisThrough study completion, approximately 10 monthsEvaluate algorithm performance (against labels from self-reported ILI symptoms and/or self-reported positive diagnosis) overall and per model deployed. Algorithm performance will be assessed across a variety of dimensions including ROC AUC, sensitivity, specificity, PPV, and NPV

Other

MeasureTime frameDescription
The exploratory objective is to assess differences in effectiveness between the four groups on ILI-related health and behavioral outcomesThrough study completion, approximately 10 monthsThe difference between all groups in the proportion of cohort members who performed any target health behavior 1-4 (i.e. performed at least one of: reduced spread, tested, sought medical attention, or was treatment adherent)

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026