NCT07690657

Brief Summary

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.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
5,000

participants targeted

Target at P75+ for not_applicable

Timeline
13mo left

Started Jul 2026

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress7%
Jul 2026Sep 2027

First Submitted

Initial submission to the registry

July 1, 2026

Completed
Same day until next milestone

Study Start

First participant enrolled

July 1, 2026

Completed
7 days until next milestone

First Posted

Study publicly available on registry

July 8, 2026

Completed
1.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 1, 2027

Expected
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2027

Last Updated

July 8, 2026

Status Verified

July 1, 2026

Enrollment Period

1.1 years

First QC Date

July 1, 2026

Last Update Submit

July 1, 2026

Conditions

Keywords

Hospital readmissiondeath

Outcome Measures

Primary Outcomes (1)

  • The number of 30-day all-cause unplanned readmission or death

    An unplanned readmission is defined as any not canceled inpatient, outpatient, or observation hospital admission with an admission type not recorded as "scheduled." Deaths are determined using the Michigan Death Index and matched to patient records using Social Security numbers.

    30 calendar days following the index discharge

Secondary Outcomes (5)

  • The number of 90-day all-cause unplanned readmission or death

    90 calendar days following the index discharge

  • Time to first 90-day all-cause unplanned readmission or death

    90 calendar days following the index discharge

  • TOC telephone call bundle completion (care navigator call)

    5 calendar days after discharge.

  • TOC telephone call bundle completion (clinical pharmacist call)

    14 calendar days after discharge

  • TOC telephone call bundle completion (both calls)

    14 calendar days after discharge

Study Arms (2)

Control Arm/Standard of care

ACTIVE COMPARATOR

The Control Arm, in which patients with a LACE Index score of 9 or greater on the day of hospital discharge will receive TOC interventions. This is the currently implemented allocation policy at Michigan Medicine. In this setting, approximately 60% of patients receive the TOC intervention. Thus, we will use a threshold of the 40th percentile for assigning the TOC telephone call bundle. Note that to maintain the 60% intervention rate throughout the study, the score threshold (LACE 9 or greater) will be monitored and dynamically adjusted. The LACE Index has four components: Length of Stay (L), Acuity of the Admission (A), Comorbidities (C), and Emergency Department Visits (E), and estimates the risk of a patient having an unplanned hospital readmission after being discharged from their current encounter.

Other: The LACE Index TOC assignment

Experimental Arm

EXPERIMENTAL

The Experimental Arm, in which Causal-Hospital reAdmission Risk Prediction Model (C-HARP) scores will be used to allocate TOC interventions. C-HARP is a machine learning model that leverages routinely collected and stored patient data in the electronic health record (EHR) to estimate how much a patient will benefit from receiving MM's TOC telephone call bundle. The assignment threshold will be defined as the 40th percentile of C-HARP scores within the most recent 100 days of the target cohort, so that approximately 60% of patients are assigned the telephone call bundle. Based on current retrospective data, this threshold corresponds to a C-HARP score of 18.

Device: C-HARP TOC assignment

Interventions

The Experimental Arm will allocate TOC interventions based on scores generated by the Causal-Hospital reAdmission Risk Prediction Model (C-HARP), C-HARP is a linear model that leverages routinely collected and stored patient data in the electronic health record (EHR) to estimate how much a patient will benefit from receiving Michigan Medicine's (MM's) TOC telephone call bundle.

Experimental Arm

The LACE Index has four components: Length of Stay (L), Acuity of the Admission (A), Comorbidities (C), and Emergency Department Visits (E), and estimates the risk of a patient having an unplanned hospital readmission after being discharged from their current encounter.

Control Arm/Standard of care

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

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)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

The University of Michigan

Ann Arbor, Michigan, 48109, United States

Location

MeSH Terms

Conditions

Death

Condition Hierarchy (Ancestors)

Pathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Jenna Wiens, PhD

    University of Michigan

    STUDY CHAIR

Central Study Contacts

Stephanie Shepard, PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
TRIPLE
Who Masked
PARTICIPANT, CARE PROVIDER, OUTCOMES ASSESSOR
Masking Details
Population Health Coordinators, Care Navigators, and Clinical Pharmacists will see a flag indicating whether or not a patient is assigned to receive MM's TOC interventions. To maintain appropriate masking, they will not have knowledge of whether or not this flag is determined by the Control Arm policy or Experimental Arm policy, in some cases they may access the LACE score but will not have access to the C-HARP scores. Patients will only be aware of TOC interventions if they are deemed to be at high risk for an unplanned hospital readmission and are assigned to receive them, which is the current standard of care and operational process at MM. Given the setting of this trial, there are no circumstances in which unblinding will occur.
Purpose
PREVENTION
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor of Electrical Engineering and Computer Science

Study Record Dates

First Submitted

July 1, 2026

First Posted

July 8, 2026

Study Start

July 1, 2026

Primary Completion (Estimated)

August 1, 2027

Study Completion (Estimated)

September 1, 2027

Last Updated

July 8, 2026

Record last verified: 2026-07

Data Sharing

IPD Sharing
Will not share

Locations