KT Knowledge Transfer

Collection of articles on KT is available here.

Implementing a social network intervention: can the context for its workability be created? A quasi-ethnographic study.
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J. Ellis, I. Vassilev, E. James and A. Rogers.
Implement Sci Commun 2020 Oct 27;1:93-020-00087-5. eCollection 2020
Policy makers and researchers recognise the challenges of implementing evidence-based interventions into routine practice. The process of implementation is particularly complex in local community environments. In such settings, the dynamic nature of the wider contextual factors needs to be considered in addition to capturing interactions between the type of intervention and the site of implementation throughout the process. This study sought to examine how networks and network formation influence the implementation of a self-management support intervention in a community setting. METHODS: An ethnographically informed approach was taken. Data collection involved obtaining and analysing documents relevant to implementation (i.e. business plan and health reports), observations of meetings and engagement events over a 28-month period and 1:1 interviews with implementation-network members. Data analysis utilised the adaptive theory approach and drew upon the Consolidated Framework for Implementation Research. The paper presents the implementation events in chronological order to illustrate the evolution of the implementation process. RESULTS: The implementation-network was configured from the provider-network and commissioning-network. The configuration of the implementation-network was influenced by both the alignment between the political landscape and the intervention, and also the intervention having a robust evidence base. At the outset of implementation, the network achieved stability as members were agreed on roles and responsibilities. The stability of the implementation-network was threatened as progress slowed. However, with a period of reflection and evaluation, and with a flexible and resilient network, implementation was able to progress. CONCLUSIONS: Resilience and creativity of all involved in the implementation in community settings is required to engage with a process which is complex, dynamic, and fraught with obstacles. An implementation-network is required to be resilient and flexible in order to adapt to the dynamic nature of community contexts. Of particular importance is understanding the demands of the various network elements, and there is a requirement to pause for “reflection and evaluation” in order to modify the implementation process as a result of learning.

A personal network approach to the study of nurse champions of innovation and their innovation projects’ spread.
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S. Luz, A. Drach-Zahavy and E. Shadmi.
J Adv Nurs 2020 Nov 4
To develop and test the relationship between nurse champions’ personal social networks and innovation success in terms of spread. DESIGN: A cross sectional. METHOD(S): Data were collected on 94 nurse champions at three medium-large tertiary medical centres from 2015-2016. Data from champions on their personal network were assessed via a standardized and acceptable three-step network survey. Success in terms of innovation spread was assessed via perceived extent of spread. Network structural and relational characteristics were depicted by level of spread. Multivariate linear regression was used to assess the relationship between network characteristics and innovation spread. FINDINGS: Above and beyond various project and network control variables, network density was significantly and positively related to project spread, tie-strength diversity was significantly and negatively related to project spread and difference in ethnic origin between champions and alters was significantly and positively related to project spread. Maximum age of network members was marginally significantly related to project spread. CONCLUSION(S): Our findings show that high-density personal social networks; networks where tie strength among network members is similar, thus, creating liking and trust among members; having at least one older network member who might have close access to professional and organizational resources acquired throughout their career; and having ties with network members from different ethnic groups to prevent knowledge stickiness, all promote innovation spread. Champions should be carefully nominated based on their ability to engage network members and to build ties with various network members inside and outside the nursing unit; once selected, champions should be aware of their social networks. IMPACT: The current study explored champions’ personal-network structure, composition and variance measures and their implications for innovation project spread. The findings demonstrated that nursing champions’ personal social networks matter for innovation spread. This finding has implications for the nominating and the coaching of champions.