The DETECT(Digital Engagement & Tracking for Early Control, & Treatment) Study
Study Details
Study Description
Brief Summary
Develop an app-based nationwide study of individuals who routinely use a smartwatch or other wearable activity tracker to determine if individualized tracking of changes in heart rate, activity and sleep can provide an early indication of influenza-like illnesses (ILI) and possibly other viral infections.
Detailed Description
This study will be configured in CareEvolution's myDataHelps platform. This app-based platform will allow people to:
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Provide informed consent electronically
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Donate robust smartwatch and activity tracker data, as well as self-reported data.
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Sensor-collected data, which will vary between devices, but what is shared will always be entirely up to the participant. Investigators anticipate a minimum to include heart rate and activity, plus sleep duration when available.
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This can include historical data collected by a sensor prior to the participants date of joining the study.
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Occasional survey-based participant-reported outcomes (PROs).
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Participant-entered physiologic data such as oral temperature
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Passively share environmental data such as air quality and weather that will be captured from external sources based on participants' "home" zip code. Optionally, if the participant consents to enable location/GPS services on their smartphone, higher grain environmental data will be enabled.
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Optionally connect to and share their electronic health record (EHR) data in the event they have an event that requires interaction with a health care provider
Study Design
Outcome Measures
Primary Outcome Measures
- The primary objective of the study is to study the individual heart rate, activity and sleep data in identifying influenza-like illnesses (ILI) in that individual using the CareEvolution's myDataHelps app-based platform. [Anticipated 2+-year duration of involvement in the study.]
The study will enable tens- to hundreds-of-thousands of interested smartwatch and active tracker wearers (e.g., Fitbit, Apple Watch, Garmin, Amazefit, OURA, Beddit, etc.) to donate their routinely collected data for research through a user-friendly app-based research platform to determine if individualized tracking of changes in heart rate, activity and sleep can provide an early indication of influenza-like illnesses (ILI) and possibly other viral infections. The study will capture timing, symptoms, and treatments of influenza-like illnesses (ILI) through on-app participant-reported outcome (PROs). When possible, use electronic health records (EHR) , available through in-app linkage, to supplement PRO-collected information about ILI or similar episodes. Data from optional devices (pulse ox, weight scales, BP cuffs, glucometers) may be integrated if the devices are connected and participant consents to share their data.
Eligibility Criteria
Criteria
Inclusion Criteria:
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Living in the U.S.
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18 years or older
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Android or iPhone Smartphone user
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Any connected wearable (Apple Watch, Fitbit, Garmin watch connected to Apple Health or Google Fit, Amazfit)
Exclusion Criteria:
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Scripps Research Translational Institute | San Diego | California | United States | 92037 |
Sponsors and Collaborators
- Scripps Translational Science Institute
- CareEvolution Healthcare Technology
Investigators
- Principal Investigator: Jennifer M Radin, PhD, MPH, Scripps Research Translational Institute
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- IRB-20-7531