Computerized Clinical Decision Support to Improve Stroke Prevention Therapy in Primary Care Management of Atrial Fibrillation: A Cluster Randomized Trial.

Clinical decision support antithrombotic therapy atrial fibrillation cluster randomized trial

Journal

American heart journal
ISSN: 1097-6744
Titre abrégé: Am Heart J
Pays: United States
ID NLM: 0370465

Informations de publication

Date de publication:
27 Apr 2024
Historique:
received: 14 11 2023
revised: 24 04 2024
accepted: 24 04 2024
medline: 30 4 2024
pubmed: 30 4 2024
entrez: 30 4 2024
Statut: aheadofprint

Résumé

Despite guidelines supporting antithrombotic therapy use in atrial fibrillation (AF), under-prescribing persists. We assessed whether computerized clinical decision support (CDS) would enable guideline-based antithrombotic therapy for AF patients in primary care. This cluster randomized trial of CDS versus usual care (UC) recruited participants from primary care practices across Nova Scotia, following them for 12 months. The CDS tool calculated bleeding and stroke risk scores and provided recommendations for using oral anticoagulants (OAC) per Canadian guidelines. From June 14, 2014 - December 15, 2016, 203 primary care providers (99 UC, 104 CDS) with access to high-speed Internet were recruited, enrolling 1145 eligible patients (543 UC, 590 CDS) assigned to the same treatment arm as their provider. Patient mean age was 72.3 years; most were male (350, 64.5% UC, 351, 59.5% CDS) and from a rural area (298, 54.9% UC, 315, 53.4% CDS). At baseline, a higher than anticipated proportion of patients were receiving guideline-based OAC therapy (373, 68.7% UC, 442, 74.9% CDS; relative risk [RR] 0.97 (95% confidence interval [CI], 0.87-1.07; p=0.511)). At 12 months, prescription data were available for 538 usual care and 570 CDS patients, and significantly more CDS patients were managed according to guidelines (415, 77.1% UC, 479, 84.0% CDS; RR 1.08 (95% CI, 1.01-1.15; p=0.024)). Notwithstanding high baseline rates, primary care provider access to the CDS over 12 months further optimized the prescribing of of OAC therapy per national guidelines to AF patients potentially eligible to receive it. This suggests that CDS can be effective in improving clinical process of care. Clinical Trials NCT01927367. https://clinicaltrials.gov/ct2/show/NCT01927367?term=NCT01927367&draw=2&rank=1.

Sections du résumé

BACKGROUND BACKGROUND
Despite guidelines supporting antithrombotic therapy use in atrial fibrillation (AF), under-prescribing persists. We assessed whether computerized clinical decision support (CDS) would enable guideline-based antithrombotic therapy for AF patients in primary care.
METHODS METHODS
This cluster randomized trial of CDS versus usual care (UC) recruited participants from primary care practices across Nova Scotia, following them for 12 months. The CDS tool calculated bleeding and stroke risk scores and provided recommendations for using oral anticoagulants (OAC) per Canadian guidelines.
RESULTS RESULTS
From June 14, 2014 - December 15, 2016, 203 primary care providers (99 UC, 104 CDS) with access to high-speed Internet were recruited, enrolling 1145 eligible patients (543 UC, 590 CDS) assigned to the same treatment arm as their provider. Patient mean age was 72.3 years; most were male (350, 64.5% UC, 351, 59.5% CDS) and from a rural area (298, 54.9% UC, 315, 53.4% CDS). At baseline, a higher than anticipated proportion of patients were receiving guideline-based OAC therapy (373, 68.7% UC, 442, 74.9% CDS; relative risk [RR] 0.97 (95% confidence interval [CI], 0.87-1.07; p=0.511)). At 12 months, prescription data were available for 538 usual care and 570 CDS patients, and significantly more CDS patients were managed according to guidelines (415, 77.1% UC, 479, 84.0% CDS; RR 1.08 (95% CI, 1.01-1.15; p=0.024)).
CONCLUSION CONCLUSIONS
Notwithstanding high baseline rates, primary care provider access to the CDS over 12 months further optimized the prescribing of of OAC therapy per national guidelines to AF patients potentially eligible to receive it. This suggests that CDS can be effective in improving clinical process of care.
TRIAL REGISTRATION BACKGROUND
Clinical Trials NCT01927367. https://clinicaltrials.gov/ct2/show/NCT01927367?term=NCT01927367&draw=2&rank=1.

Identifiants

pubmed: 38685464
pii: S0002-8703(24)00103-0
doi: 10.1016/j.ahj.2024.04.016
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT01927367']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest JC reports grants from Bayer Inc. during the conduct of the study; personal fees from Bayer, Servier, and HLS Therapeutics outside the submitted work. RP reports grants from Abbott, Bayer, Medtronic and Novartis outside the submitted work. JMK reports other fees from Merck Canada, Bayer, and Pfizer outside the submitted work. AC and SHC are employees of Bayer Inc. JNW reports personal fees from Nova Scotia Health Authority during the conduct of the study. All other authors declare no competing interests.

Auteurs

Jafna Cox (J)

Division of Cardiology, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada; Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada. Electronic address: jafna.cox@dal.ca.

Laura Hamilton (L)

Research Manager, QEII Health Sciences Centre, Nova Scotia Health Authority, Halifax, Nova Scotia.

Lehana Thabane (L)

Professor, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario Canada; Associate Chair, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario Canada; Professor, Departments of Anesthesia/Pediatrics, McMaster University, Hamilton, Ontario Canada; Director, Biostatistics Unit, Centre for Evaluation of Medicine, McMaster University, Hamilton, Ontario Canada; Senior Scientist, Population Health Research Institute (PHRI), Hamilton Health Sciences, McMaster University, Hamilton, Ontario Canada; Department of Health Research Methods, Evidence, and Impact; McMaster University, Hamilton, Ontario Canada.

Gary Foster (G)

Department of Health Research Methods, Evidence, and Impact; McMaster University, Hamilton, Ontario Canada; Biostatistics Unit, St. Joseph's Healthcare, Hamilton, Ontario, Canada.

James MacKillop (J)

Family Physician, Sydney Primary Care Medical Clinic, Sydney, Nova Scotia.

Feng Xie (F)

Professor, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario Canada; Centre for Health Economics and Policy Analysis, McMaster University.

Antonio Ciaccia (A)

Director & Head, Medical Affairs - Cardiovascular Medicine, Bayer Inc, Mississauga, Ontario, Canada.

Shurjeel Choudhri (S)

Senior Vice President and Head, Medical & Scientific Affairs, Bayer Inc, Mississauga, Ontario, Canada.

Joanna Nemis-White (J)

Principal, Strive Health Management Consulting Ltd., Halifax, Nova Scotia, Canada.

Ratika Parkash (R)

Division of Cardiology, Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.

Classifications MeSH