Suppr超能文献

新的转化研究网络中的关键参与者是谁?

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

机构信息

Centre for Clinical Governance Research, Australian Institute of Health Innovation, University of New South Wales, Kensington 2052, Australia.

出版信息

BMC Health Serv Res. 2013 Aug 30;13:338. doi: 10.1186/1472-6963-13-338.

Abstract

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.

摘要

背景

专业网络在医疗保健领域被越来越多地用于将来自不同地点和专业的成员聚集在一起,以进行协作。这些网络中的关键人物通过其中心或中介地位影响网络功能,因此对于那些寻求优化网络效率的人来说是感兴趣的。然而,他们的身份可能并不明显。本研究使用社会网络分析来问:(1)新转化研究网络(TRN)的关键人物是谁?(2)他们有共同特征吗?(3)他们是否可以被识别为有权势、有影响力或关系良好的个人?

方法

TRN 成员被要求完成一项在线全网络调查,该调查收集了预期与关键人物角色相关的人口统计学信息,以及关于当前 TRN 项目合作的社会网络问题。三个问题询问他们认为谁有权势、有影响力和关系良好。入度和中介中心度值用于确定实际和感知网络中的关键人物地位,并使用卡方分析测试与人口统计学和描述性变量的关联。

结果

在线调查的回复率为 76.4%(52/68)。TRN 主任和经理被确定为关键人物,还有其他六名成员。只有两个九个变量与实际关键人物地位相关;没有一个与感知相关。主要发现是实际和感知经纪人之间的不匹配。成员正确识别了三个核心角色中的两个(两个强制性关键角色主任和经理),但在 19 个感知经纪人中,只有三个正确识别了实际经纪人。不匹配的可能原因包括重叠的结构和成员的知识薄弱。

结论

讨论了正确识别这些关键人物的重要性,以便进行网络干预以提高效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cba3/3844428/74e2660ae523/1472-6963-13-338-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验