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OpenTrials
Completed

NCT Number: NCT02983812

Developing Enhanced Prediction Models

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.

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Key information

Conditions

Acute Myocardial Infraction or Chest Pain Cardiovascular Diseases Chest Pain Chronic Disease Chronic Obstructive Pulmonary Disease (COPD) Congestive Heart Failure (CHF) Diabetes Diabetes Mellitus Disease Attributes Endocrine System Diseases Glucose Metabolism Disorders Heart Diseases Heart Failure Infections Lung Diseases Lung Diseases, Obstructive Metabolic Diseases Neurologic Manifestations Nutritional and Metabolic Diseases Pain Pathologic Processes Pathological Conditions, Signs and Symptoms Pneumonia Pulmonary Disease, Chronic Obstructive Respiratory Tract Diseases Respiratory Tract Infections Signs and Symptoms

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Penn Medicine

Philadelphia, Pennsylvania, 19103, United States

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 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

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.

Treatment and study plan

Primary outcomes

  1. Hospital readmission within 30 days of discharge

    Time frame: 30 days

    Patient readmission within 30 days of initial discharge

Secondary outcomes

  1. The secondary outcome measures include re-hospitalization within 90 days of discharge.

    Time frame: 90 days

    Patient readmission within 90 days of initial discharge

  2. Re-hospitalization within 6 months of discharge

    Time frame: 6 months

    Patient readmission within 6 months of initial discharge

  3. Emergency department visits within 6 months of discharge

    Time frame: 6 months

    Patient visit to the emergency department within 6 months of initial discharge

  4. Total health care cost utilization in 6 months after discharge

    Time frame: 6 months

    The cost of health care services for patient within 6 months of initial discharge

Sponsors and collaborators

Lead sponsor

University of Pennsylvania

Other

Registry information

Official study title

Developing Enhanced Prediction Models to Identify Patients at Risk for Hospital Readmission by Collecting Patient-Generated Health Data

Acronym: PREDICT

Important dates

Study start
2017
Primary completion
2019
Study completion
2019
First posted
Dec 6, 2016
Registry last updated
Feb 6, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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