Automated Physician Notifications to Improve Guideline-Based Anticoagulation in Atrial Fibrillation
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 2,336
- 试验地点
- 2
- 主要终点
- Proportion of patients taking an anticoagulant
研究概览
简要总结
The overall goal is to improve outcomes among patients with atrial fibrillation (AF) by preventing stroke. The investigators propose to implement an automated algorithm using electronic medical record (EMR) data to alert physicians in a large primary care practice network at the Massachusetts General Hospital (MGH) of their patients with AF and elevated stroke risk that are not taking an anticoagulant for stroke prevention. The investigators hypothesize that interventions to notify physicians of such individuals may prompt reassessment for the need for anticoagulation, and thereby increase guideline-indicated anticoagulation rates. Additionally, in a survey component, physicians will characterize reasons for not pursuing anticoagulation in AF patients at elevated risk for stroke.
详细描述
The overall goal is to improve outcomes among patients with atrial fibrillation (AF) by preventing stroke. The investigators propose to implement an automated algorithm using electronic medical record (EMR) data to alert physicians in a large primary care practice network at the Massachusetts General Hospital (MGH) of their patients with AF and elevated stroke risk that are not taking an anticoagulant for stroke prevention. Using a medical record algorithm, there are an estimated 2,000 to 3,000 such patients in the primary care practices at MGH. The investigators hypothesize that interventions to notify physicians of such individuals may prompt reassessment for the need for anticoagulation, and thereby increase guideline-indicated anticoagulation rates.
The investigators define the following three Specific Aims to address the primary study hypothesis:
Specific Aim 1: Implement an automated alerting system within the EMR to notify primary care physicians (PCPs) of patients with AF at elevated stroke risk that are not being treated with anticoagulants. To maximize efficiency of the effort, the alert will not require a concurrent clinic visit, but rather will occur with existing data aggregated from the medical record independent of any clinical encounter.
Specific Aim 2: Test whether the alerting system increases the rate of anticoagulation at 3 months after implementation.
Specific Aim 3: Characterize the reasons for not pursuing anticoagulation in AF patients at elevated risk for stroke.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Prevention
- 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
- •Adult patients 18 and older seen in Massachusetts General Hospital primary care practices in the past 3 years
- •Diagnosed with atrial fibrillation
- •Increased risk of stroke (CHA2DS2VASc score ≥ 2)
- •Not currently taking an anticoagulant
排除标准
- •Patients who are subsequently identified as having died prior to or during the course of the study intervention using the Social Security Death Index
- •Listed in the Massachusetts General Hospital system as having a PCP outside of the network
结局指标
主要结局
Proportion of patients taking an anticoagulant
时间窗: 3-months
Difference in the proportion of patients with AF at high risk of stroke taking an anticoagulant at 3-months in the baseline alert arm , compared to the proportion taking an anticoagulant at 3-months in the 3-month alert arm
次要结局
- Proportion of patients taking direct oral anticoagulants vs. warfarin(3-months)
- Reasons for not prescribing an anticoagulant(3-months)
- Physician characteristics derived from the questionnaire and hospital databases that are associated with having a low proportion of the physician's panel of atrial fibrillation patients on oral anticoagulants(3-months)
- Patient-level characteristics derived from the questionnaire and the electronic health record that are associated with not being prescribed an anticoagulant(3-months)
研究者
Steven A Lubitz
Assistant Professor
Massachusetts General Hospital
