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AUtomated Risk Assessment for Stroke in Atrial Fibrillation (AURAS-AF) - an automated software system to promote anticoagulation and reduce stroke risk: study protocol for a cluster randomised controlled trial

BACKGROUND: Patients with atrial fibrillation (AF) are at significantly increased risk of stroke. Oral anticoagulants (OACs) substantially reduce this risk, with gains seen across the spectrum of baseline risk. Despite the benefit to patients, OAC prescribing remains suboptimal in the United Kingdom...

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Autores principales: Holt, Tim A, Fitzmaurice, David A, Marshall, Tom, Fay, Matthew, Qureshi, Nadeem, Dalton, Andrew R H, Hobbs, F D Richard, Lasserson, Daniel S, Kearley, Karen, Hislop, Jenny, Jin, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225760/
https://www.ncbi.nlm.nih.gov/pubmed/24220602
http://dx.doi.org/10.1186/1745-6215-14-385
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author Holt, Tim A
Fitzmaurice, David A
Marshall, Tom
Fay, Matthew
Qureshi, Nadeem
Dalton, Andrew R H
Hobbs, F D Richard
Lasserson, Daniel S
Kearley, Karen
Hislop, Jenny
Jin, Jing
author_facet Holt, Tim A
Fitzmaurice, David A
Marshall, Tom
Fay, Matthew
Qureshi, Nadeem
Dalton, Andrew R H
Hobbs, F D Richard
Lasserson, Daniel S
Kearley, Karen
Hislop, Jenny
Jin, Jing
author_sort Holt, Tim A
collection PubMed
description BACKGROUND: Patients with atrial fibrillation (AF) are at significantly increased risk of stroke. Oral anticoagulants (OACs) substantially reduce this risk, with gains seen across the spectrum of baseline risk. Despite the benefit to patients, OAC prescribing remains suboptimal in the United Kingdom (UK). We will investigate whether an automated software system, operating within primary care electronic medical records, can improve the management of AF by identifying patients eligible for OAC therapy and increasing uptake of this treatment. METHODS/DESIGN: We will conduct a cluster randomised controlled trial, involving general practices using the Egton Medical Information Systems (EMIS) Web clinical system. We will randomise practices to use an electronic software tool or to continue with usual care. The tool will a) produce (and continually refresh) a list of patients with AF who are eligible for OAC therapy - practices will invite these patients to discuss therapy at the start of the trial - and b) generate electronic screen reminders in the medical records of those eligible, appearing throughout the trial. The software will run for 6 months in 23 intervention practices. A total of 23 control practices will manage their AF register in line with the usual care offered. The primary outcome is change in proportion of eligible patients with AF who have been prescribed OAC therapy after six months. Secondary outcomes are incidence of stroke, transient ischaemic attack, other major thromboembolism, major haemorrhage and reports of inappropriate OAC prescribing in the data collection sample - those deemed eligible for OACs. We will conduct a process evaluation in parallel with the randomised trial. We will use qualitative methods to examine patient and practitioner views of the intervention and its impact on primary care practice, including its time implications. DISCUSSION: AURAS-AF will investigate whether a simple intervention, using electronic primary care records, can improve OAC uptake in a high risk group for stroke. Given previous concerns about safety, especially surrounding inappropriate prescribing, we will also examine whether electronic reminders safely impact care in this clinical area. TRIAL REGISTRATION: http://ISRCTN 55722437
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spelling pubmed-42257602014-11-11 AUtomated Risk Assessment for Stroke in Atrial Fibrillation (AURAS-AF) - an automated software system to promote anticoagulation and reduce stroke risk: study protocol for a cluster randomised controlled trial Holt, Tim A Fitzmaurice, David A Marshall, Tom Fay, Matthew Qureshi, Nadeem Dalton, Andrew R H Hobbs, F D Richard Lasserson, Daniel S Kearley, Karen Hislop, Jenny Jin, Jing Trials Study Protocol BACKGROUND: Patients with atrial fibrillation (AF) are at significantly increased risk of stroke. Oral anticoagulants (OACs) substantially reduce this risk, with gains seen across the spectrum of baseline risk. Despite the benefit to patients, OAC prescribing remains suboptimal in the United Kingdom (UK). We will investigate whether an automated software system, operating within primary care electronic medical records, can improve the management of AF by identifying patients eligible for OAC therapy and increasing uptake of this treatment. METHODS/DESIGN: We will conduct a cluster randomised controlled trial, involving general practices using the Egton Medical Information Systems (EMIS) Web clinical system. We will randomise practices to use an electronic software tool or to continue with usual care. The tool will a) produce (and continually refresh) a list of patients with AF who are eligible for OAC therapy - practices will invite these patients to discuss therapy at the start of the trial - and b) generate electronic screen reminders in the medical records of those eligible, appearing throughout the trial. The software will run for 6 months in 23 intervention practices. A total of 23 control practices will manage their AF register in line with the usual care offered. The primary outcome is change in proportion of eligible patients with AF who have been prescribed OAC therapy after six months. Secondary outcomes are incidence of stroke, transient ischaemic attack, other major thromboembolism, major haemorrhage and reports of inappropriate OAC prescribing in the data collection sample - those deemed eligible for OACs. We will conduct a process evaluation in parallel with the randomised trial. We will use qualitative methods to examine patient and practitioner views of the intervention and its impact on primary care practice, including its time implications. DISCUSSION: AURAS-AF will investigate whether a simple intervention, using electronic primary care records, can improve OAC uptake in a high risk group for stroke. Given previous concerns about safety, especially surrounding inappropriate prescribing, we will also examine whether electronic reminders safely impact care in this clinical area. TRIAL REGISTRATION: http://ISRCTN 55722437 BioMed Central 2013-11-13 /pmc/articles/PMC4225760/ /pubmed/24220602 http://dx.doi.org/10.1186/1745-6215-14-385 Text en Copyright © 2013 Holt et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Study Protocol
Holt, Tim A
Fitzmaurice, David A
Marshall, Tom
Fay, Matthew
Qureshi, Nadeem
Dalton, Andrew R H
Hobbs, F D Richard
Lasserson, Daniel S
Kearley, Karen
Hislop, Jenny
Jin, Jing
AUtomated Risk Assessment for Stroke in Atrial Fibrillation (AURAS-AF) - an automated software system to promote anticoagulation and reduce stroke risk: study protocol for a cluster randomised controlled trial
title AUtomated Risk Assessment for Stroke in Atrial Fibrillation (AURAS-AF) - an automated software system to promote anticoagulation and reduce stroke risk: study protocol for a cluster randomised controlled trial
title_full AUtomated Risk Assessment for Stroke in Atrial Fibrillation (AURAS-AF) - an automated software system to promote anticoagulation and reduce stroke risk: study protocol for a cluster randomised controlled trial
title_fullStr AUtomated Risk Assessment for Stroke in Atrial Fibrillation (AURAS-AF) - an automated software system to promote anticoagulation and reduce stroke risk: study protocol for a cluster randomised controlled trial
title_full_unstemmed AUtomated Risk Assessment for Stroke in Atrial Fibrillation (AURAS-AF) - an automated software system to promote anticoagulation and reduce stroke risk: study protocol for a cluster randomised controlled trial
title_short AUtomated Risk Assessment for Stroke in Atrial Fibrillation (AURAS-AF) - an automated software system to promote anticoagulation and reduce stroke risk: study protocol for a cluster randomised controlled trial
title_sort automated risk assessment for stroke in atrial fibrillation (auras-af) - an automated software system to promote anticoagulation and reduce stroke risk: study protocol for a cluster randomised controlled trial
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225760/
https://www.ncbi.nlm.nih.gov/pubmed/24220602
http://dx.doi.org/10.1186/1745-6215-14-385
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