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Who are the key players in a new translational research network?

BACKGROUND: Professional networks are used increasingly in health care to bring together members from different sites and professions to work collaboratively. Key players within these networks are known to affect network function through their central or brokerage position and are therefore of inter...

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Autores principales: Long, Janet C, Cunningham, Frances C, Carswell, Peter, Braithwaite, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3844428/
https://www.ncbi.nlm.nih.gov/pubmed/23987790
http://dx.doi.org/10.1186/1472-6963-13-338
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author Long, Janet C
Cunningham, Frances C
Carswell, Peter
Braithwaite, Jeffrey
author_facet Long, Janet C
Cunningham, Frances C
Carswell, Peter
Braithwaite, Jeffrey
author_sort Long, Janet C
collection PubMed
description BACKGROUND: Professional networks are used increasingly in health care to bring together members from different sites and professions to work collaboratively. Key players within these networks are known to affect network function through their central or brokerage position and are therefore of interest to those who seek to optimise network efficiency. However, their identity may not be apparent. This study using social network analysis to ask: (1) Who are the key players of a new translational research network (TRN)? (2) Do they have characteristics in common? (3) Are they recognisable as powerful, influential or well connected individuals? METHODS: TRN members were asked to complete an on-line, whole network survey which collected demographic information expected to be associated with key player roles, and social network questions about collaboration in current TRN projects. Three questions asked who they perceived as powerful, influential and well connected. Indegree and betweenness centrality values were used to determine key player status in the actual and perceived networks and tested for association with demographic and descriptive variables using chi square analyses. RESULTS: Response rate for the online survey was 76.4% (52/68). The TRN director and manager were identified as key players along with six other members. Only two of nine variables were associated with actual key player status; none with perceived. The main finding was the mismatch between actual and perceived brokers. Members correctly identified two of the three central actors (the two mandated key roles director and manager) but there were only three correctly identified actual brokers among the 19 perceived brokers. Possible reasons for the mismatch include overlapping structures and weak knowledge of members. CONCLUSIONS: The importance of correctly identifying these key players is discussed in terms of network interventions to improve efficiency.
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spelling pubmed-38444282013-12-02 Who are the key players in a new translational research network? Long, Janet C Cunningham, Frances C Carswell, Peter Braithwaite, Jeffrey BMC Health Serv Res Research Article BACKGROUND: Professional networks are used increasingly in health care to bring together members from different sites and professions to work collaboratively. Key players within these networks are known to affect network function through their central or brokerage position and are therefore of interest to those who seek to optimise network efficiency. However, their identity may not be apparent. This study using social network analysis to ask: (1) Who are the key players of a new translational research network (TRN)? (2) Do they have characteristics in common? (3) Are they recognisable as powerful, influential or well connected individuals? METHODS: TRN members were asked to complete an on-line, whole network survey which collected demographic information expected to be associated with key player roles, and social network questions about collaboration in current TRN projects. Three questions asked who they perceived as powerful, influential and well connected. Indegree and betweenness centrality values were used to determine key player status in the actual and perceived networks and tested for association with demographic and descriptive variables using chi square analyses. RESULTS: Response rate for the online survey was 76.4% (52/68). The TRN director and manager were identified as key players along with six other members. Only two of nine variables were associated with actual key player status; none with perceived. The main finding was the mismatch between actual and perceived brokers. Members correctly identified two of the three central actors (the two mandated key roles director and manager) but there were only three correctly identified actual brokers among the 19 perceived brokers. Possible reasons for the mismatch include overlapping structures and weak knowledge of members. CONCLUSIONS: The importance of correctly identifying these key players is discussed in terms of network interventions to improve efficiency. BioMed Central 2013-08-30 /pmc/articles/PMC3844428/ /pubmed/23987790 http://dx.doi.org/10.1186/1472-6963-13-338 Text en Copyright © 2013 Long 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 Research Article
Long, Janet C
Cunningham, Frances C
Carswell, Peter
Braithwaite, Jeffrey
Who are the key players in a new translational research network?
title Who are the key players in a new translational research network?
title_full Who are the key players in a new translational research network?
title_fullStr Who are the key players in a new translational research network?
title_full_unstemmed Who are the key players in a new translational research network?
title_short Who are the key players in a new translational research network?
title_sort who are the key players in a new translational research network?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3844428/
https://www.ncbi.nlm.nih.gov/pubmed/23987790
http://dx.doi.org/10.1186/1472-6963-13-338
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