Evaluating Intervention Allocation Policies for Reducing Hospital Readmissions at Michigan Medicine

Starting soon · Not applicable

Conditions studied: Transition of Care

In brief

The researchers are investigating if using a risk-based prediction score or benefit-based prediction score to allocate transition of care (TOC) interventions is more effective in reducing the rate of unplanned hospital readmissions or death within 30 days of hospital discharge.

Key facts

Study ID

NCT07690657

Run by

University of Michigan

People needed

5000

Starts

2026-07-01

Expected to finish

2027-09-01

Last updated by the study team

2026-07-08

Who can join

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

You may qualify if…

• Patient meets the primary care established rule at Michigan Medicine (MM), AND
• Patient's primary care physician (PCP) Department is one of our General Medicine or Family Medicine or Medical-Pediatrics departments, AND
• Inpatient class is Inpatient or Observation or Obs Greater than 48 hours or Outpatient in a Bed or Extended Recovery or Hospital Care at Home Inpatient or Hospital Care at Home Observation, AND
• Discharged from General Medicine or Family Medicine or Medicine Observation services, AND
• Disposition of home or home with home care

You may not qualify if…

• Physician Organization of Michigan Accountable Care Organization (POM ACO)
• Sepsis patients (had a diagnosis of sepsis during admission, active or resolved on the hospital problem list)

Where it is running

• The University of Michigan — Ann Arbor, Michigan, United States

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.