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báo cáo khoa học: "The impact of social networks on knowledge transfer in long-term care facilities: Protocol for a study"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: The impact of social networks on knowledge transfer in long-term care facilities: Protocol for a study | Sales et al. Implementation Science 2010 5 49 http www.implementationscience.eom content 5 1 49 IMPLEMENTATION SCIENCE Implementation Science STUDY PROTOCOL Open Access The impact of social networks on knowledge transfer in long-term care facilities Protocol for a study Anne E Sales 1 Carole A Estabrooks1 and Thomas W Valente2 Abstract Background 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. Objectives 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. Methods and design 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. Discussion This study will contribute to understanding mechanisms for knowledge sharing among staff on units to permit more efficient