PREDICT: Developing Enhanced Prediction Models
Study Details
Study Description
Brief Summary
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.
Condition or Disease | Intervention/Treatment | Phase |
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Detailed Description
Many hospital readmissions could be prevented if higher risk patients were identified and effective interventions then targeted towards these individuals. However, most existing claims-based predictive models perform poorly and do not provide timely and actionable information. In this study, researchers will prospectively enroll patients 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 use wearable devices or smartphones to collect patient-generated data (physical activity and sleep patterns). Patients will be randomized to use either a smartphone or a wearable activity tracking device to capture patient-generated health data.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Activity Monitoring - Smartphone Patients in the activity monitoring - smartphone group will be randomly assigned to track their data using a smartphone app (which collects step counts) for 6 months. There will be no intervention for either group, both are being passively monitored. |
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Activity Monitoring - Wearable Patients in the activity monitoring - wearable device group will be randomly assigned to track their data using a wearable activity tracker (which collects step counts and sleep patterns/duration). There will be no intervention for either group, both are being passively monitored. |
Outcome Measures
Primary Outcome Measures
- Hospital readmission within 30 days of discharge [30 days]
Patient readmission within 30 days of initial discharge
Secondary Outcome Measures
- The secondary outcome measures include re-hospitalization within 90 days of discharge. [90 days]
Patient readmission within 90 days of initial discharge
- Re-hospitalization within 6 months of discharge [6 months]
Patient readmission within 6 months of initial discharge
- Emergency department visits within 6 months of discharge [6 months]
Patient visit to the emergency department within 6 months of initial discharge
- Total health care cost utilization in 6 months after discharge [6 months]
The cost of health care services for patient within 6 months of initial discharge
Eligibility Criteria
Criteria
Inclusion Criteria:
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Be 18 years or older
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Be able to provide informed consent
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Be admitted to the Hospital of the University of Pennsylvania or Penn Presbyterian Medical Center
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Have a smartphone or tablet compatible with activity tracking devices
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Plan to be discharged to home
Exclusion Criteria:
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.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Penn Medicine | Philadelphia | Pennsylvania | United States | 19103 |
Sponsors and Collaborators
- University of Pennsylvania
Investigators
- Principal Investigator: Mitesh Patel, University of Pennsylvania
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 825189