Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada.
Implement Sci. 2010 Jun 23;5:49. doi: 10.1186/1748-5908-5-49.
Social networks are theorized as significant influences in the innovation adoption and behavior change processes. Our understanding of how social networks operate within healthcare settings is limited. As a result, our ability to design optimal interventions that employ social networks as a method of fostering planned behavior change is also limited. Through this proposed project, we expect to contribute new knowledge about factors influencing uptake of knowledge translation interventions.
Our specific aims include: To collect social network data among staff in two long-term care (LTC) facilities; to characterize social networks in these units; and to describe how social networks influence uptake and use of feedback reports.
In this prospective study, we will collect data on social networks in nursing units in two LTC facilities, and use social network analysis techniques to characterize and describe the networks. These data will be combined with data from a funded project to explore the impact of social networks on uptake and use of feedback reports. In this parent study, feedback reports using standardized resident assessment data are distributed on a monthly basis. Surveys are administered to assess report uptake. In the proposed project, we will collect data on social networks, analyzing the data using graphical and quantitative techniques. We will combine the social network data with survey data to assess the influence of social networks on uptake of feedback reports.
This study will contribute to understanding mechanisms for knowledge sharing among staff on units to permit more efficient and effective intervention design. A growing number of studies in the social network literature suggest that social networks can be studied not only as influences on knowledge translation, but also as possible mechanisms for fostering knowledge translation. This study will contribute to building theory to design such interventions.
社交网络被认为是影响创新采纳和行为改变过程的重要因素。我们对社交网络在医疗保健环境中运作方式的理解有限。因此，我们设计最佳干预措施的能力也受到限制，这些干预措施将社交网络作为促进计划行为改变的一种方法。通过这个拟议的项目，我们希望为了解影响知识转化干预措施采用的因素做出新的贡献。
我们的具体目标包括：在两个长期护理（LTC）设施中收集工作人员的社交网络数据；描述这些单位的社交网络；并描述社交网络如何影响反馈报告的采用和使用。
在这项前瞻性研究中，我们将收集两个长期护理设施护理单元的社交网络数据，并使用社交网络分析技术对网络进行特征描述。这些数据将与一项资助项目的数据相结合，以探讨社交网络对反馈报告的采用和使用的影响。在这个母项目中，每月使用标准化居民评估数据分发反馈报告。进行调查以评估报告的采用情况。在拟议项目中，我们将收集社交网络数据，使用图形和定量技术分析数据。我们将把社交网络数据与调查数据结合起来，评估社交网络对反馈报告采用的影响。
这项研究将有助于了解单元内工作人员之间知识共享的机制，从而实现更高效和有效的干预措施设计。越来越多的社交网络文献研究表明，社交网络不仅可以作为知识转化的影响因素进行研究，还可以作为促进知识转化的可能机制。这项研究将有助于构建设计此类干预措施的理论。
