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Real-time Symptom Monitoring Using ePROs to Prevent Adverse Events During Care Transitions
Sponsor: Brigham and Women's Hospital
Summary
This study aims to predict and minimize post-discharge adverse events (AEs) during care transitions through early identification and escalation of patient-reported symptoms to inpatient and ambulatory clinicians by way of predictive algorithms and clinically integrated digital health apps. We will (1) develop and prospectively validate a predictive model of post-discharge AEs for patients with multiple chronic conditions (MCC); (2) combine, adapt, extend, and iteratively refine our EHR-integrated digital health infrastructure in a series of design sessions with patient and clinician participants; (3) conduct a RCT to evaluate the impact of ePRO monitoring on post-discharge AEs for MCC patients discharged from the general medicine service across Brigham Health; and (4) use mixed methods to evaluate barriers and facilitators of implementation and use as we develop a plan for sustainability, scale, and dissemination.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
1300
Start Date
2022-02-01
Completion Date
2026-10-15
Last Updated
2023-12-07
Healthy Volunteers
No
Conditions
Interventions
ePRO Application
The intervention consists of a patient portal, EHR-integrated web-app to communicate risk of post-discharge adverse events using patient-reported outcome questionnaires, discharge preparation checklist during hospitalization. After discharge, the intervention will provide real-time symptom monitoring using ePROs and facilitate communication with clinicians based on prediction model-informed ePRO score trends exceeding escalation thresholds.
Locations (2)
Brigham and Women's Faulkner Hospital
Boston, Massachusetts, United States
Brigham and Women's Hospital
Boston, Massachusetts, United States