Identifying Dimensions and Components of Organizational Readiness for Knowledge Translation Implementation in Type I Medical Sciences Universities in Iran: A Scoping Review

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Abstract Introduction Healthcare organizations must have the ability to adapt to rapid environmental changes and respond to evidence-based needs. One of the key prerequisites for the effective implementation of these changes is organizational readiness for knowledge translation (KT). The aim of this study is to identify the dimensions and components of organizational readiness for implementing KT in medical universities in Iran. Methods This research was conducted using a scoping review approach based on the Arksey and O’Malley framework. A comprehensive search was performed without a time limitation in international databases such as PubMed, Scopus, Web of Science, and Persian databases MagIran and SID. Out of 4540 identified documents, 14 articles were included after screening and final assessment. Results After extracting the dimensions and components from the reviewed studies, five dimensions and 14 components were identified, as follows: Organizational Climate (culture of readiness and innovation, intra- and inter-organizational interactions, organizational dynamics), Organizational Support (development and training opportunities, financial resources, capacity building and organizational performance improvement), Change Management (strategies and change implementation capacity, leadership support), Organizational Context (knowledge management in the organization, organizational structure and technological advancement, social capital), and Human Resources (self-efficacy and motivation, leadership, collaboration and participation). Conclusion To enhance organizational readiness for KT implementation, it is essential for health system managers and policymakers to understand the importance of utilizing research evidence and, through skill development and active participation in research processes, create the necessary environment for utilizing generated knowledge.

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