Email updates

Keep up to date with the latest news and content from Implementation Science and BioMed Central.

Journal App

google play app store
Open Access Study protocol

Determinants of successful clinical networks: the conceptual framework and study protocol

Mary Haines12*, Bernadette Brown1, Jonathan Craig2, Catherine D'Este3, Elizabeth Elliott4, Emily Klineberg4, Elizabeth McInnes5, Sandy Middleton5, Christine Paul6, Sally Redman1, Elizabeth M Yano7 and on behalf of Clinical Networks Research Group

Author Affiliations

1 Sax Institute, Haymarket, Australia

2 School of Public Health, University of Sydney, Camperdown, Australia

3 Centre for Clinical Epidemiology and Biostatistics, University of Newcastle, Newcastle, Australia

4 The University of Sydney Clinical School, The Children's Hospital at Westmead, Westmead, Australia

5 Nursing Research Institute - St. Vincents & Mater Health Sydney and Australian Catholic University, National Centre for Clinical Outcomes Research (NaCCOR), Darlinghurst, Australia

6 School of Medicine and Public Health, University of Newcastle, Newcastle, Australia

7 VA Greater Los Angeles HSR&D Centre of Excellence, Sepulveda, CA, USA

For all author emails, please log on.

Implementation Science 2012, 7:16  doi:10.1186/1748-5908-7-16

Published: 13 March 2012

Abstract

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.