Improving Quality of Care - Managing Atrial Fibrillation Through Care Teams and Health Information Technology
IQ-MATCH
1 other identifier
interventional
432
0 countries
N/A
Brief 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).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable atrial-fibrillation
Started May 2016
Shorter than P25 for not_applicable atrial-fibrillation
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 6, 2016
CompletedFirst Posted
Study publicly available on registry
April 12, 2016
CompletedStudy Start
First participant enrolled
May 1, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2017
CompletedJanuary 16, 2019
January 1, 2019
1.3 years
April 6, 2016
January 15, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Anticoagulation therapy
the proportion of eligible patients who initiate anticoagulation therapy following randomization to intervention or usual care
randomization to 1 month post randomization
Study Arms (2)
Intervention
EXPERIMENTALPrimary 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.
Usual Care
NO INTERVENTIONPrimary care providers will provide usual care.
Interventions
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.
Eligibility Criteria
You may qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Shirley Wang, PhD, ScM
Brigham and Women's Hospital
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor of Medicine at Harvard Medical School and Associate Epidemiologist in the Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women's Hospital
Study Record Dates
First Submitted
April 6, 2016
First Posted
April 12, 2016
Study Start
May 1, 2016
Primary Completion
August 1, 2017
Study Completion
August 1, 2017
Last Updated
January 16, 2019
Record last verified: 2019-01
Data Sharing
- IPD Sharing
- Will not share
There is no plan to share individual participant data outside of the staff and participants themselves.