Heart Failure Clinical Trial
— SmartHFOfficial title:
The Impact of an Adaptive Patient-centered Web Application on Medication Optimization in HFrEF Patients (SmartHF)
The SmartHF study is a 12-week prospective randomized controlled multicenter clinical trial. This study will investigate the efficacy of an adaptive web application to facilitate guideline-directed medical therapy (GDMT) optimization in HFrEF patients. Eligible participants will be randomized to the web application intervention or control in a 1:1 manner, stratified by site. 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.
| Status | Recruiting |
| Enrollment | 225 |
| Est. completion date | June 1, 2026 |
| Est. primary completion date | June 1, 2026 |
| Accepts healthy volunteers | No |
| Gender | All |
| Age group | 18 Years and older |
| Eligibility | Inclusion Criteria: 1. Age 18 years and older at screening 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: 1. End-stage HF (hospice candidate) 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 |
| Country | Name | City | State |
|---|---|---|---|
| United States | University of Michigan | Ann Arbor | Michigan |
| United States | Emory University, Grady Hospital | Atlanta | Georgia |
| United States | Henry Ford Hospital and Health System | Detroit | Michigan |
| United States | Washington University, Barns Jewish Hospital | Saint Louis | Missouri |
| United States | Trinity Healthcare St. Joseph Mercy Ann Arbor | Ypsilanti | Michigan |
| Lead Sponsor | Collaborator |
|---|---|
| University of Michigan | Emory University, Grady Hospital, Atlanta, GA, Henry Ford Hospital, Detroit, MI, Washington University, Barns Jewish Hospital, St. Louis, MO |
United States,
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: Advances. Published online April 12, 2023:100289.
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Primary Endpoint: Change in GDMT medication score | Change in GDMT medication score generated by the computable algorithm from baseline to Week 12 | Baseline to Week 12 | |
| Secondary | Secondary Endpoint: Level of agreement between the medication optimization algorithm recommendations and actual GDMT prescribed | The level of agreement between the medication optimization algorithm recommendations (Yes/No) and actual GDMT prescribed (Yes/No) | Over 12 Weeks |
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