Real-time Symptom Monitoring Using ePROs to Prevent Adverse Events During Care Transitions

Recruiting now · Not applicable

Conditions studied: Multiple Chronic Conditions, Adverse Event

In brief

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 facts

Study ID
NCT05282654
Run by
Brigham and Women's Hospital
People needed
1300
Starts
2022-02-01
Expected to finish
2026-10-15
Last updated by the study team
2026-04-20

Who can join

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

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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