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.
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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
3
An evidence-based medication recommendation website that is provided to the patients.
University of Michigan
Ann Arbor, Michigan, United States
The change in medications will be measured by the Evidence Based Medicine Percent Score (EBMPS).
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).
Time frame: Change over 2 weeks
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