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Risk factor management in survivors of stroke: A double-blind, cluster-randomized, controlled trial.

Authors :
Thrift A.G.
Cadilhac D.A.
Bladin C.F.
Gerraty R.P.
Fitzgerald S.M.
Kim J.
Phan T.G.
Nelson M.R.
Srikanth V.K.
Thrift A.G.
Cadilhac D.A.
Bladin C.F.
Gerraty R.P.
Fitzgerald S.M.
Kim J.
Phan T.G.
Nelson M.R.
Srikanth V.K.
Publication Year :
2014

Abstract

Background: Comprehensive community care has the potential to improve risk factor management of patients with stroke or transient ischaemic attack. Aim(s): The primary aim is to determine the effectiveness of an individualized management program on risk factor management for patients discharged from hospital after stroke. Design(s): Multicentre, cluster-randomized, controlled trial, with clusters by general practice. Participants are randomized to receive intervention or control after a baseline assessment undertaken after discharge from hospital. The general practice they attend is marked as an intervention or control accordingly. All subsequent participants attending those practices are automatically assigned as intervention or control. Baseline and all outcome assessments, including an analysis of risk factors, are undertaken by assessors blinded to patient randomization. Intervention Details: Based on the results of blinded assessments, the individualized management program group will receive targeted advice on how to manage their risk factors using a standardized, evidence-based template to communicate 'ideal' management with their general practitioner. In addition, patients randomized to the individualized management program group will receive counselling and education about stroke risk factor management by an intervention study nurse. Individualized management programs will be reviewed at three-months, six-months, 12 months, and 18 months after stroke, at which times they will be modified if appropriate. Stroke risk management will be evaluated using changes in the Framingham cardiovascular risk score. Analysis will be on an intention-to-treat basis using analysis of covariance or generalized linear model to adjust for baseline risk score and other relevant confounding factors. © 2012 The Authors. International Journal of Stroke © 2012 World Stroke Organization.

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1305138403
Document Type :
Electronic Resource