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Determinants of successful clinical networks: the conceptual framework and study protocol
BACKGROUND: Clinical networks are increasingly being viewed as an important strategy for increasing evidence-based practice and improving models of care, but success is variable and characteristics of networks with high impact are uncertain. This study takes advantage of the variability in the funct...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328243/ https://www.ncbi.nlm.nih.gov/pubmed/22414246 http://dx.doi.org/10.1186/1748-5908-7-16 |
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author | Haines, Mary Brown, Bernadette Craig, Jonathan D'Este, Catherine Elliott, Elizabeth Klineberg, Emily McInnes, Elizabeth Middleton, Sandy Paul, Christine Redman, Sally Yano, Elizabeth M |
author_facet | Haines, Mary Brown, Bernadette Craig, Jonathan D'Este, Catherine Elliott, Elizabeth Klineberg, Emily McInnes, Elizabeth Middleton, Sandy Paul, Christine Redman, Sally Yano, Elizabeth M |
author_sort | Haines, Mary |
collection | PubMed |
description | BACKGROUND: Clinical networks are increasingly being viewed as an important strategy for increasing evidence-based practice and improving models of care, but success is variable and characteristics of networks with high impact are uncertain. This study takes advantage of the variability in the functioning and outcomes of networks supported by the Australian New South Wales (NSW) Agency for Clinical Innovation's non-mandatory model of clinical networks to investigate the factors that contribute to the success of clinical networks. METHODS/DESIGN: The objective of this retrospective study is to examine the association between external support, organisational and program factors, and indicators of success among 19 clinical networks over a three-year period (2006-2008). The outcomes (health impact, system impact, programs implemented, engagement, user perception, and financial leverage) and explanatory factors will be collected using a web-based survey, interviews, and record review. An independent expert panel will provide judgements about the impact or extent of each network's initiatives on health and system impacts. The ratings of the expert panel will be the outcome used in multivariable analyses. Following the rating of network success, a qualitative study will be conducted to provide a more in-depth examination of the most successful networks. DISCUSSION: This is the first study to combine quantitative and qualitative methods to examine the factors that contribute to the success of clinical networks and, more generally, is the largest study of clinical networks undertaken. The adaptation of expert panel methods to rate the impacts of networks is the methodological innovation of this study. The proposed project will identify the conditions that should be established or encouraged by agencies developing clinical networks and will be of immediate use in forming strategies and programs to maximise the effectiveness of such networks. |
format | Online Article Text |
id | pubmed-3328243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33282432012-04-18 Determinants of successful clinical networks: the conceptual framework and study protocol Haines, Mary Brown, Bernadette Craig, Jonathan D'Este, Catherine Elliott, Elizabeth Klineberg, Emily McInnes, Elizabeth Middleton, Sandy Paul, Christine Redman, Sally Yano, Elizabeth M Implement Sci Study Protocol BACKGROUND: Clinical networks are increasingly being viewed as an important strategy for increasing evidence-based practice and improving models of care, but success is variable and characteristics of networks with high impact are uncertain. This study takes advantage of the variability in the functioning and outcomes of networks supported by the Australian New South Wales (NSW) Agency for Clinical Innovation's non-mandatory model of clinical networks to investigate the factors that contribute to the success of clinical networks. METHODS/DESIGN: The objective of this retrospective study is to examine the association between external support, organisational and program factors, and indicators of success among 19 clinical networks over a three-year period (2006-2008). The outcomes (health impact, system impact, programs implemented, engagement, user perception, and financial leverage) and explanatory factors will be collected using a web-based survey, interviews, and record review. An independent expert panel will provide judgements about the impact or extent of each network's initiatives on health and system impacts. The ratings of the expert panel will be the outcome used in multivariable analyses. Following the rating of network success, a qualitative study will be conducted to provide a more in-depth examination of the most successful networks. DISCUSSION: This is the first study to combine quantitative and qualitative methods to examine the factors that contribute to the success of clinical networks and, more generally, is the largest study of clinical networks undertaken. The adaptation of expert panel methods to rate the impacts of networks is the methodological innovation of this study. The proposed project will identify the conditions that should be established or encouraged by agencies developing clinical networks and will be of immediate use in forming strategies and programs to maximise the effectiveness of such networks. BioMed Central 2012-03-13 /pmc/articles/PMC3328243/ /pubmed/22414246 http://dx.doi.org/10.1186/1748-5908-7-16 Text en Copyright ©2012 Haines 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 Haines, Mary Brown, Bernadette Craig, Jonathan D'Este, Catherine Elliott, Elizabeth Klineberg, Emily McInnes, Elizabeth Middleton, Sandy Paul, Christine Redman, Sally Yano, Elizabeth M Determinants of successful clinical networks: the conceptual framework and study protocol |
title | Determinants of successful clinical networks: the conceptual framework and study protocol |
title_full | Determinants of successful clinical networks: the conceptual framework and study protocol |
title_fullStr | Determinants of successful clinical networks: the conceptual framework and study protocol |
title_full_unstemmed | Determinants of successful clinical networks: the conceptual framework and study protocol |
title_short | Determinants of successful clinical networks: the conceptual framework and study protocol |
title_sort | determinants of successful clinical networks: the conceptual framework and study protocol |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328243/ https://www.ncbi.nlm.nih.gov/pubmed/22414246 http://dx.doi.org/10.1186/1748-5908-7-16 |
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