Michigan Predictive Activity and Clinical Trajectories (MIPACT): 98.3 percent adherence in a 6,735 participant, daily, at-home blood pressure monitoring study
University of Michigan’s Precision Health program, Apple, and CareEvolution collaborated to build Michigan Predictive Activity and Clinical Trajectories (MIPACT), a demanding observational research study. Each day, participants took 2 sets of 2 blood pressures, wore their Apple Watch for 12 hours, completed 2 “Breathe” sessions, and provided electronic patient-reported outcomes (ePROs). By using CareEvolution’s MyDataHelps™, a digital clinical trial and research platform, researchers were able to use mobile technology to efficiently collect this data. MyDataHelps™ provided a participant user experience that enrolled 6,735 participants and resulted in 98.3% compliance for Phase 1 of the study. The robust data set, that includes electronic health records (EHR) and genetic information, will be used to understand the relationship between sensor data and different health outcomes.
Background
Mobile technology is pervasive. In 2019, more than eight in ten Americans owned a smartphone, nearly half of Americans tracked an aspect of their health digitally, and one third owned a wearable device. With the advent of wearables and devices to capture digital phenotypes paired with secure, robust digital health platforms like MyDataHelps™, researchers can now capture an unprecedented amount of 360-degree participant data—ePROs (e.g. GAD7, PHQ-9, PROMIS, EMAs) and wearable device data (e.g. steps, heart rate, movement metrics from Apple Watches)—to deepen understanding around predictors for health & wellness, at finely tuned demographic-specific levels.
The MIPACT study was led by Dr. Sachin Kheterpal at University of Michigan. Apple served as sponsor for the study, was involved in the protocol design, provided funding for enrollment, and collected proprietary sensor data from the Apple Watch.