The DETECT(Digital Engagement & Tracking for Early Control, & Treatment) Study
NCT ID: NCT04336020
Last Updated: 2024-04-16
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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RECRUITING
100000 participants
OBSERVATIONAL
2020-03-24
2025-04-30
Brief Summary
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Detailed Description
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* Provide informed consent electronically
* Donate robust smartwatch and activity tracker data, as well as self-reported data.
* 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.
* This can include historical data collected by a sensor prior to the participants date of joining the study.
* Occasional survey-based participant-reported outcomes (PROs).
* Participant-entered physiologic data such as oral temperature
* 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.
* 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
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Eligibility Criteria
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Inclusion Criteria
* 18 years or older
* Android or iPhone Smartphone user
* Any connected wearable (Apple Watch, Fitbit, Garmin watch connected to Apple Health or Google Fit, Amazfit)
18 Years
ALL
No
Sponsors
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CareEvolution Healthcare Technology
UNKNOWN
Scripps Translational Science Institute
OTHER
Responsible Party
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Principal Investigators
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Jay Pandit, MD
Role: PRINCIPAL_INVESTIGATOR
Scripps Research Translational Institute
Locations
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Scripps Research Translational Institute
San Diego, California, United States
Countries
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Central Contacts
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Facility Contacts
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References
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Radin JM, Vogel JM, Delgado F, Coughlin E, Gadaleta M, Pandit JA, Steinhubl SR. Long-term changes in wearable sensor data in people with and without Long Covid. NPJ Digit Med. 2024 Sep 13;7(1):246. doi: 10.1038/s41746-024-01238-x.
Quer G, Coughlin E, Villacian J, Delgado F, Harris K, Verrant J, Gadaleta M, Hung TY, Ter Meer J, Radin JM, Ramos E, Adams M, Kim L, Chien JW, Baca-Motes K, Pandit JA, Talantov D, Steinhubl SR. Feasibility of wearable sensor signals and self-reported symptoms to prompt at-home testing for acute respiratory viruses in the USA (DETECT-AHEAD): a decentralised, randomised controlled trial. Lancet Digit Health. 2024 Aug;6(8):e546-e554. doi: 10.1016/S2589-7500(24)00096-7.
Other Identifiers
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IRB-20-7531
Identifier Type: -
Identifier Source: org_study_id
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