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Evaluating Intervention Allocation Policies for Reducing Hospital Readmissions at Michigan Medicine

1 juli 2026 bijgewerkt door: Jenna Wiens, University of Michigan
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.

Studie Overzicht

Toestand

Nog niet aan het werven

Conditie

Interventie / Behandeling

Gedetailleerde beschrijving

The intervention affects only how the TOC bundle is assigned and does not alter how the telephone calls are delivered. For example, both care navigators and pharmacists receive the same patient information and follow the same call procedures before and after the intervention.

Individuals with predicted benefits greater than the 40% quantile are assigned the phone call bundle while others were not assigned the bundle. During the trial the 40% quantile will be dynamically determined using discharge data from the previous week.

Studietype

Ingrijpend

Inschrijving (Geschat)

5000

Fase

  • Niet toepasbaar

Contacten en locaties

In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.

Studiecontact

Studie Locaties

  • Verenigde Staten
    • Michigan
      • Ann Arbor, Michigan, Verenigde Staten, 48109
        • The University of Michigan
        • Contact:
        • Hoofdonderzoeker:
          • Jenna Wiens, PhD

Deelname Criteria

Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.

Geschiktheidscriteria

Leeftijden die in aanmerking komen voor studie

  • Volwassen
  • Oudere volwassene

Accepteert gezonde vrijwilligers

Nee

Beschrijving

Inclusion Criteria:

  • 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

Exclusion Criteria:

  • 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)

Studie plan

Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.

Hoe is de studie opgezet?

Ontwerpdetails

  • Primair doel: Preventie
  • Toewijzing: Gerandomiseerd
  • Interventioneel model: Parallelle opdracht
  • Masker: Verdrievoudigen

Wapens en interventies

Deelnemersgroep / Arm
Interventie / Behandeling
Actieve vergelijker: Control Arm/Standard of care
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.
Ander: The LACE Index TOC assignment
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.
Experimenteel: Experimental Arm
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.
Apparaat: C-HARP TOC assignment
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.

Wat meet het onderzoek?

Primaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
The number of 30-day all-cause unplanned readmission or death
Tijdsspanne: 30 calendar days following the index discharge
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

Secundaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
The number of 90-day all-cause unplanned readmission or death
Tijdsspanne: 90 calendar days following the index discharge
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.
90 calendar days following the index discharge
Time to first 90-day all-cause unplanned readmission or death
Tijdsspanne: 90 calendar days following the index discharge
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.
90 calendar days following the index discharge
TOC telephone call bundle completion (care navigator call)
Tijdsspanne: 5 calendar days after discharge.

A care navigator call is considered complete if a completed call record is observed within 5 calendar days after discharge.

Calls are considered incomplete if the corresponding completed call record occurs after an all-cause unplanned readmission.
5 calendar days after discharge.
TOC telephone call bundle completion (clinical pharmacist call)
Tijdsspanne: 14 calendar days after discharge

A clinical pharmacist call is considered complete if a completed call record is observed within 14 calendar days after discharge.

Calls are considered incomplete if the corresponding completed call record occurs after an all-cause unplanned readmission.
14 calendar days after discharge
TOC telephone call bundle completion (both calls)
Tijdsspanne: 14 calendar days after discharge

Completed the care navigator call and completed the clinical pharmacist call.

Calls are considered incomplete if the corresponding completed call record occurs after an all-cause unplanned readmission.
14 calendar days after discharge

Medewerkers en onderzoekers

Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.

Sponsor

University of Michigan

Onderzoekers

  • Studie stoel: Jenna Wiens, PhD, University of Michigan

Studie record data

Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.

Bestudeer belangrijke data

Studie start (Geschat)

1 juli 2026

Primaire voltooiing (Geschat)

1 augustus 2027

Studie voltooiing (Geschat)

1 september 2027

Studieregistratiedata

Eerst ingediend

1 juli 2026

Eerst ingediend dat voldeed aan de QC-criteria

1 juli 2026

Eerst geplaatst (Werkelijk)

8 juli 2026

Updates van studierecords

Laatste update geplaatst (Werkelijk)

8 juli 2026

Laatste update ingediend die voldeed aan QC-criteria

1 juli 2026

Laatst geverifieerd

1 juli 2026

Meer informatie

Termen gerelateerd aan deze studie

Trefwoorden

Aanvullende relevante MeSH-voorwaarden

Andere studie-ID-nummers

  • HUM00282075

Plan Individuele Deelnemersgegevens (IPD)

Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?

NEE

Informatie over medicijnen en apparaten, studiedocumenten

Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel

Nee

Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct

Ja

product vervaardigd in en geëxporteerd uit de V.S.

Nee

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