The Optimization of Medications in Chronic Heart Failure Using a Website
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Heart Failure
- Sponsor
- University of Michigan
- Enrollment
- 3
- Locations
- 1
- Primary Endpoint
- The change in medications will be measured by the Evidence Based Medicine Percent Score (EBMPS).
- Status
- Terminated
- Last Updated
- 4 years ago
Overview
Brief Summary
Heart failure (HF) is the most common hospital discharge diagnosis among older adults in the United States. Strikingly, 2 in 5 patients are readmitted within 1-year following their first HF admission. This results in significant potentially avoidable costs to our already strained healthcare system since hospitalizations result in 70% of yearly HF management costs. One of the most common causes of readmission is lack of medication optimization. This study will determine the effectiveness of a medication optimization website.
Detailed Description
In a prospective design, 100 patients will be randomized to the intervention or usual care in a 1:1 fashion. Patients randomized to the intervention will receive an evidence-based medication recommendation intervention. Outcome measures will be collected at baseline and at 2 weeks post-intervention.
Investigators
Michael Dorsch
Assistant Professor of Clinical Pharmacy
University of Michigan
Eligibility Criteria
Inclusion Criteria
- •left ventricular ejection fraction (LVEF) \</= 40%
Exclusion Criteria
- •pregnancy
- •active cancer with a life expectancy less than 12 months
- •chronic inotropic therapy
Outcomes
Primary Outcomes
The change in medications will be measured by the Evidence Based Medicine Percent Score (EBMPS).
Time Frame: Change over 2 weeks
The Evidence Based Medicine Percent Score (EBMPS) is calculated by the medications and doses the patient is taking (in points) divided by the total eligible medications based on the evidence (in points).