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Prediction Using Connected Technologies for Diabetes

NCT03544320 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 186

Last updated 2019-08-29

No results posted yet for this study

Summary

In this study, adults with pre-diabetes will be prospectively enrolled for data collection to design prediction models that integrate electronic health record data and patient-generated activity data. Patients will be randomized to receive either a waist-worn or wrist-worn wearable device for 6 months to capture patient-generated activity data.

Conditions

  • Pre-Diabetes

Interventions

DEVICE

Activity Monitoring-Wrist worn wearable

Participants wear an activity monitor on their wrist.

DEVICE

Activity Monitoring-Waist-worn wearable

Participants wear an activity monitor on their waist.

Sponsors & Collaborators

Principal Investigators

  • Mitesh S Patel, MD · University of Pennsylvania

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2018-07-09
Primary Completion
2019-08-01
Completion
2019-08-01

Countries

  • United States

Study Locations

More Related Trials

Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03544320 on ClinicalTrials.gov