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Improving Quality of Care - Managing Atrial Fibrillation Through Care Teams and Health Information Technology

NCT02734875 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 432

Last updated 2019-01-16

No results posted yet for this study

Summary

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).

Conditions

Interventions

OTHER

Intervention

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.

Sponsors & Collaborators

  • Brigham and Women's Hospital

    lead OTHER

Principal Investigators

  • Shirley Wang, PhD, ScM · Brigham and Women's Hospital

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2016-05-31
Primary Completion
2017-08-31
Completion
2017-08-31

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02734875 on ClinicalTrials.gov