The Optimization of Medications in Chronic Heart Failure Using a Website
试验速览
- 阶段
- 不适用
- 状态
- 终止
- 入组人数
- 3
- 试验地点
- 2
- 主要终点
- The change in medications will be measured by the Evidence Based Medicine Percent Score (EBMPS).
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Health Services Research
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •left ventricular ejection fraction (LVEF) </= 40%
排除标准
- •pregnancy
- •active cancer with a life expectancy less than 12 months
- •chronic inotropic therapy
结局指标
主要结局
The change in medications will be measured by the Evidence Based Medicine Percent Score (EBMPS).
时间窗: 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).
次要结局
未报告次要终点
研究者
Michael Dorsch
Assistant Professor of Clinical Pharmacy
University of Michigan