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Improving Quality of Care - Managing Atrial Fibrillation Through Care Teams and Health Information Technology (IQ-MATCH)

2019年1月15日 更新者:Shirley Vichy Wang、Brigham and Women's Hospital

This stepped wedge randomized intervention will apply machine learning algorithms in an electronic health record system to identify primary care patients with non-valvular atrial fibrillation (AF) who are at high risk of stroke and not on anticoagulation therapy. An Anticoagulant Management Service (AMS) will offer support to primary care providers regarding treatment for relevant patients (either warfarin and novel oral anticoagulants).

This study seeks to:

  1. increase the proportion of appropriately anticoagulated patients with AF,
  2. understand the reasons for lack of anticoagulation, and
  3. document the proportion of patients with AF who are appropriately not anticoagulated (e.g. patient refusal, contraindication).

研究概览

地位

完全的

条件

详细说明

Atrial fibrillation (AF) is the most common type of cardiac arrhythmia and is associated with significant mortality and morbidity from stroke, thromboembolism, and related cardiovascular conditions. While the risk of stroke for AF patients as a whole tends to be greater than the general population; within the AF patient population, the risk of stroke is modified by the presence or absence of additional risk factors such as age, comorbid conditions, and prior stroke history.

There is a wealth of evidence for the effectiveness of anticoagulation therapy to prevent stroke and thromboembolism, but while anticoagulants have been demonstrated to be highly effective at preventing stroke and embolic events among AF patients, they are also known to increase the risk of major bleeding events. Anticoagulation with warfarin and other VKA drugs can be complex to manage. These drugs have narrow therapeutic windows and require close monitoring to stay within the target international normalized ratio (INR). They also have many known food and drug interactions.

In the last few years, several novel oral anticoagulants (NOAC) such as dabigatran, rivaroxaban, and apixaban have entered the market. While each of the NOACs demonstrated non-inferiority to warfarin in a large randomized clinical trial prior to FDA approval, experience with NOACs is limited in practice.

Our intervention will combine the ability of health information technology to filter large volumes of data with human capacity to understand subtleties and barriers for complex clinical decision making. Our intervention will facilitate a connection between patients, treating clinicians, and an established Anticoagulant Management Service (AMS) for coordinated care. We will use information from the EHR to direct additional efforts and resources toward reaching potentially unrecognized or undertreated atrial fibrillation patients with the greatest need for preventive anticoagulation therapy and lowest risk of adverse effects. This electronic safety net will assist with efficient allocation of scarce resources beyond usual care. The proposed clinical decision support/care-coordination process will be designed to address many of these identified barriers to appropriate anticoagulation therapy among AF patients. Here we define "appropriate" anticoagulation as a guideline informed shared decision between individual patients and their care team.

This intervention utilizes a stepped wedge design involving 14 primary care clinics affiliated with the Brigham and Women's Hospital. The timing of clinic entry to the intervention arm will be randomized.

研究类型

介入性

注册 (实际的)

432

阶段

  • 不适用

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

18年 及以上 (成人、年长者)

接受健康志愿者

有资格学习的性别

全部

描述

Inclusion Criteria:

  • Non-valvular atrial fibrillation as identified by machine learning algorithms
  • Primary care provider within Brigham and Women's Hospital
  • No evidence of a prescription for an anticoagulant in medical record for at least 1 year

Exclusion Criteria:

-

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

  • 主要用途:其他
  • 分配:随机化
  • 介入模型:交叉作业
  • 屏蔽:无(打开标签)

武器和干预

参与者组/臂
干预/治疗
实验性的:Intervention
Primary care providers in the intervention arm will receive lists of their patients with AF who are identified as being at high risk of stroke but not currently on anticoagulation therapy. Along with this list, which includes information on risks and benefits of anticoagulation, primary care providers will receive an offer of assistance from a respected Anticoagulation Management Service within the hospital network to help manage anticoagulation for referred patients.
The intervention arm offers primary care providers additional information on patient risks and benefits as well as an offer of assistance with managing a patient's anticoagulation from a respected service at BWH.
其他名称:
  • 抗凝物
无干预:Usual Care
Primary care providers will provide usual care.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Anticoagulation therapy
大体时间:randomization to 1 month post randomization
the proportion of eligible patients who initiate anticoagulation therapy following randomization to intervention or usual care
randomization to 1 month post randomization

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2016年5月1日

初级完成 (实际的)

2017年8月1日

研究完成 (实际的)

2017年8月1日

研究注册日期

首次提交

2016年4月6日

首先提交符合 QC 标准的

2016年4月11日

首次发布 (估计)

2016年4月12日

研究记录更新

最后更新发布 (实际的)

2019年1月16日

上次提交的符合 QC 标准的更新

2019年1月15日

最后验证

2019年1月1日

更多信息

与本研究相关的术语

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

IPD 计划说明

There is no plan to share individual participant data outside of the staff and participants themselves.

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

Intervention的临床试验

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