CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 781 enrolled
Drug / intervention
Surveyother
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT04574882
NCT04574882N/ACompleted
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Using Digital Data to Predict Cardiovascular Health and Health Care Utilization

University of Pennsylvania·observational·Posted Oct 5, 2020·Updated Nov 4, 2025

In Brief

An observational study evaluating Survey for Cardiovascular Diseases. Completed, enrolled 781 participants across 1 site.

Detailed Summary

This project seeks to identify and characterize features derived from digital data (e.g. social media, online search, mobile media) which are associated with coronary heart disease (CHD) and related risk factors, and develop models that use digital data and conventional predictive models to predict CHD risk and health care utilization.

Study Details

Study Typeobservational
Allocation--
Masking--
Primary Purpose--
ConditionsCardiovascular Diseases
CountriesUnited States
Collaborators--

Timeline

N/ACompletedFinished
202120222023202420252026
First PostedOct 5, 2020
Enrollment StartSep 25, 2020
Primary CompletionMay 30, 2025
Study CompletionJun 1, 2025
TodayJul 2, 2026
Enrollment to primary: 4.7 yearsPosted 5.7 years ago

Interventions

Surveyother

Interested participants may complete the informed consent online. After informed consent, the participant will be asked to share the digital data types that they use (Facebook, Instagram, Twitter, Google search, step data) and then participants will complete a cross-sectional survey.