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A multifaceted quality improvement intervention for CVD risk management in Australian primary healthcare: a protocol for a process evaluation

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death and disability worldwide. Despite the widespread availability of evidence-based clinical guidelines and validated risk predication equations for prevention and management of CVD, their translation into routine practice is limited...

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Autores principales: Patel, Bindu, Patel, Anushka, Jan, Stephen, Usherwood, Tim, Harris, Mark, Panaretto, Katie, Zwar, Nicholas, Redfern, Julie, Jansen, Jesse, Doust, Jenny, Peiris, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279909/
https://www.ncbi.nlm.nih.gov/pubmed/25515217
http://dx.doi.org/10.1186/s13012-014-0187-8
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author Patel, Bindu
Patel, Anushka
Jan, Stephen
Usherwood, Tim
Harris, Mark
Panaretto, Katie
Zwar, Nicholas
Redfern, Julie
Jansen, Jesse
Doust, Jenny
Peiris, David
author_facet Patel, Bindu
Patel, Anushka
Jan, Stephen
Usherwood, Tim
Harris, Mark
Panaretto, Katie
Zwar, Nicholas
Redfern, Julie
Jansen, Jesse
Doust, Jenny
Peiris, David
author_sort Patel, Bindu
collection PubMed
description BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death and disability worldwide. Despite the widespread availability of evidence-based clinical guidelines and validated risk predication equations for prevention and management of CVD, their translation into routine practice is limited. We developed a multifaceted quality improvement intervention for CVD risk management which incorporates electronic decision support, patient risk communication tools, computerised audit and feedback tools, and monthly, peer-ranked performance feedback via a web portal. The intervention was implemented in a cluster randomised controlled trial in 60 primary healthcare services in Australia. Overall, there were improvements in risk factor recording and in prescribing of recommended treatments among under-treated individuals, but it is unclear how this intervention was used in practice and what factors promoted or hindered its use. This information is necessary to optimise intervention impact and maximally implement it in a post-trial context. In this study protocol, we outline our methods to conduct a theory-based, process evaluation of the intervention. Our aims are to understand how, why, and for whom the intervention produced the observed outcomes and to develop effective strategies for translation and dissemination. METHODS/DESIGN: We will conduct four discrete but inter-related studies taking a mixed methods approach. Our quantitative studies will examine (1) the longer term effectiveness of the intervention post-trial, (2) patient and health service level correlates with trial outcomes, and (3) the health economic impact of implementing the intervention at scale. The qualitative studies will (1) identify healthcare provider perspectives on implementation barriers and enablers and (2) use video ethnography and patient semi-structured interviews to understand how cardiovascular risk is communicated in the doctor/patient interaction both with and without the use of intervention. We will also assess the costs of implementing the intervention in Australian primary healthcare settings which will inform scale-up considerations. DISCUSSION: This mixed methods evaluation will provide a detailed understanding of the process of implementing a quality improvement intervention and identify the factors that might influence scalability and sustainability. TRIALS REGISTRATION: 12611000478910.
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spelling pubmed-42799092014-12-31 A multifaceted quality improvement intervention for CVD risk management in Australian primary healthcare: a protocol for a process evaluation Patel, Bindu Patel, Anushka Jan, Stephen Usherwood, Tim Harris, Mark Panaretto, Katie Zwar, Nicholas Redfern, Julie Jansen, Jesse Doust, Jenny Peiris, David Implement Sci Study Protocol BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death and disability worldwide. Despite the widespread availability of evidence-based clinical guidelines and validated risk predication equations for prevention and management of CVD, their translation into routine practice is limited. We developed a multifaceted quality improvement intervention for CVD risk management which incorporates electronic decision support, patient risk communication tools, computerised audit and feedback tools, and monthly, peer-ranked performance feedback via a web portal. The intervention was implemented in a cluster randomised controlled trial in 60 primary healthcare services in Australia. Overall, there were improvements in risk factor recording and in prescribing of recommended treatments among under-treated individuals, but it is unclear how this intervention was used in practice and what factors promoted or hindered its use. This information is necessary to optimise intervention impact and maximally implement it in a post-trial context. In this study protocol, we outline our methods to conduct a theory-based, process evaluation of the intervention. Our aims are to understand how, why, and for whom the intervention produced the observed outcomes and to develop effective strategies for translation and dissemination. METHODS/DESIGN: We will conduct four discrete but inter-related studies taking a mixed methods approach. Our quantitative studies will examine (1) the longer term effectiveness of the intervention post-trial, (2) patient and health service level correlates with trial outcomes, and (3) the health economic impact of implementing the intervention at scale. The qualitative studies will (1) identify healthcare provider perspectives on implementation barriers and enablers and (2) use video ethnography and patient semi-structured interviews to understand how cardiovascular risk is communicated in the doctor/patient interaction both with and without the use of intervention. We will also assess the costs of implementing the intervention in Australian primary healthcare settings which will inform scale-up considerations. DISCUSSION: This mixed methods evaluation will provide a detailed understanding of the process of implementing a quality improvement intervention and identify the factors that might influence scalability and sustainability. TRIALS REGISTRATION: 12611000478910. BioMed Central 2014-12-17 /pmc/articles/PMC4279909/ /pubmed/25515217 http://dx.doi.org/10.1186/s13012-014-0187-8 Text en © Patel et al.; licensee BioMed Central. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Study Protocol
Patel, Bindu
Patel, Anushka
Jan, Stephen
Usherwood, Tim
Harris, Mark
Panaretto, Katie
Zwar, Nicholas
Redfern, Julie
Jansen, Jesse
Doust, Jenny
Peiris, David
A multifaceted quality improvement intervention for CVD risk management in Australian primary healthcare: a protocol for a process evaluation
title A multifaceted quality improvement intervention for CVD risk management in Australian primary healthcare: a protocol for a process evaluation
title_full A multifaceted quality improvement intervention for CVD risk management in Australian primary healthcare: a protocol for a process evaluation
title_fullStr A multifaceted quality improvement intervention for CVD risk management in Australian primary healthcare: a protocol for a process evaluation
title_full_unstemmed A multifaceted quality improvement intervention for CVD risk management in Australian primary healthcare: a protocol for a process evaluation
title_short A multifaceted quality improvement intervention for CVD risk management in Australian primary healthcare: a protocol for a process evaluation
title_sort multifaceted quality improvement intervention for cvd risk management in australian primary healthcare: a protocol for a process evaluation
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279909/
https://www.ncbi.nlm.nih.gov/pubmed/25515217
http://dx.doi.org/10.1186/s13012-014-0187-8
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