Evaluating Intervention Allocation Policies for Reducing Hospital Readmissions at Michigan Medicine

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorUniversity of Michigan

About this trial

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.

Eligibility criteria

Qualifiers

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

Disqualifiers

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)

Trial design

Treatments tested in this trial

  • C-HARP TOC assignment
  • The LACE Index TOC assignment

Treatment groups

5,000 Participants
are divided into 2 treatment groups

Sponsors and collaborators