Prediction Using Connected Technologies for Diabetes

Completed · Not applicable

Conditions studied: Pre-Diabetes

In brief

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.

Key facts

Study ID

NCT03544320

Run by

University of Pennsylvania

People needed

186

Starts

2018-07-09

Expected to finish

2019-08-01

Last updated by the study team

2019-08-29

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Be 18 years or older
• Be able to provide informed consent
• Have a smartphone or tablet compatible with the wearable device smartphone application and be willing to use the wearable device for 6 months
• Baseline hemoglobin A1c of 5.7 to 6.4

You may not qualify if…

• Participants will no be eligible if they have any medical condition or other reason that will likely prohibit them from completing the 6-month study

Where it is running

• Penn Medicine — Philadelphia, Pennsylvania, United States

Full record on ClinicalTrials.gov

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