Developing Enhanced Prediction Models

Completed

Conditions studied: Acute Myocardial Infraction or Chest Pain, Chronic Obstructive Pulmonary Disease (COPD), Congestive Heart Failure (CHF), Diabetes, Pneumonia

In brief

In this study, patients will be prospectively enrolled for data collection to design prediction models that integrate claims data (inpatient, outpatient, and pharmacy), electronic health record data (on clinical, social, and behavioral indicators), and patient-generated activity data. Patients will be randomized to use either a smartphone or a wearable activity tracking device to capture patient-generated health data.

Key facts

Study ID

NCT02983812

Run by

University of Pennsylvania

People needed

500

Starts

2017-01-23

Expected to finish

2019-12-07

Last updated by the study team

2020-02-06

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
• Be admitted to the Hospital of the University of Pennsylvania or Penn Presbyterian Medical Center
• Have a smartphone or tablet compatible with activity tracking devices
• Plan to be discharged to home

You may not qualify if…

• Have no medical condition which prohibits them from ambulating or plan for any medical procedure over the next 6 months that would prohibit them from ambulating.

Where it is running

• Penn Medicine — Philadelphia, Pennsylvania, United States

Full record on ClinicalTrials.gov

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