The Impact of an Adaptive Patient-centered Web Application on Medication Optimization in HFrEF Patients
NCT ID: NCT05858320
Last Updated: 2026-01-16
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
PHASE3
225 participants
INTERVENTIONAL
2023-07-21
2025-12-01
Brief Summary
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The intervention is an adaptive medication optimization web application that extracts and analyzes the EHR data with a computable medication optimization algorithm. The algorithm provides a medication quality score and outputs medication optimization recommendations written in a patient -friendly manner.
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Detailed Description
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Participants will be randomized to receive the web application intervention or control up to 30 days before a clinic visit in a 1:1 manner and followed for 12 weeks after the clinic visit. This trial will determine the efficacy of SmartHF in prescribing GDMT in HFrEF patients compared to controls.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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SmartHF application
The web application-based study intervention provides adaptive medication recommendations that can be shared with their HF provider.
SmartHF application
Adaptive medication recommendations that can be shared with the participants HF provider.
Control - Patients Standard Medication(s)
No change to current medication(s)
SmartHF application
Adaptive medication recommendations that can be shared with the participants HF provider.
Interventions
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SmartHF application
Adaptive medication recommendations that can be shared with the participants HF provider.
Eligibility Criteria
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Inclusion Criteria
2. Diagnosis of heart failure with a left ventricular ejection fraction (LVEF) \</= 40% (HFrEF)
3. Have a general medicine provider or general cardiology provider for HFrEF
4. Have internet access and access to their health system's patient portal
5. Fluent in spoken and written English
6. At least two of the following: systolic blood pressure ≥ 110mmg, potassium ≤ 5.5, serum creatinine ≤ 2.5, heart rate ≥ 70
7. At least two eligible heart failure therapies (guideline-recommended BB, RASI, MRA, or SGLT2i) not yet initiated or below 50% of the target dose
Exclusion Criteria
2. Actively treated cancer, except non-melanoma skin cancer
3. Implanted ventricular assist device
4. Current treatment with chronic inotropic therapy
5. Patient's provider for HFrEF care is considered an advanced HF specialist
6. Currently pregnant or intends to become pregnant during the study period
7. Dialysis
18 Years
ALL
No
Sponsors
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Washington University, Barns Jewish Hospital, St. Louis, MO
UNKNOWN
Henry Ford Hospital, Detroit, MI
UNKNOWN
Emory University, Grady Hospital, Atlanta, GA
UNKNOWN
University of Michigan
OTHER
Responsible Party
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Michael Dorsch
Associate Professor of Pharmacy, College of Pharmacy and Clinical Pharmacist, University of Michigan Inpatient Pharmacy Services
Locations
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Emory University, Grady Hospital
Atlanta, Georgia, United States
University of Michigan
Ann Arbor, Michigan, United States
Henry Ford Hospital and Health System
Detroit, Michigan, United States
Trinity Healthcare St. Joseph Mercy Ann Arbor
Ypsilanti, Michigan, United States
Washington University, Barns Jewish Hospital
St Louis, Missouri, United States
Countries
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References
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Dorsch MP, Sifuentes A, Cordwin DJ, Kuo R, Rowell BE, Arzac JJ, DeBacker K, Guidi JL, Hummel SL, Koelling TM. A Computable Algorithm for Medication Optimization in Heart Failure With Reduced Ejection Fraction. JACC Adv. 2023 Apr 12;2(3):100289. doi: 10.1016/j.jacadv.2023.100289. eCollection 2023 May.
Other Identifiers
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HUM00227631
Identifier Type: -
Identifier Source: org_study_id
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