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Updated: Jun 29, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
The challenge of moving evidence-based measures into clinical practice: lessons in knowledge translation
Marjolijn Ketelaar1, Dianne J Russell, Jan Willem Gorter
1Rehabilitation Center De Hoogstraat, Center of Excellence for Rehabilitation Medicine, Utrecht, The Netherlands. m.ketelaar@dehoogstraat.nl
Abstract:
Once a measure has been developed and validated, it may take years for implementation into clinical practice. The purpose of this paper is to describe strategies used to increase knowledge translation and use of the Gross Motor Function Measure (GMFM) and the Gross Motor Function Classification System (GMFCS) in clinical practice in the Netherlands and reflect on the process. Knowledge translation strategies included peer-reviewed publications, workshops, and posting information on Web sites. The impact of several of these strategies was evaluated using questionnaires focusing on therapists' self-reported familiarity and use of the measures. Peer reviewed publications did not appear to impact clinical practice. Interactive workshops were more successful at increasing use, but a gap remained between knowledge and use; the transfer into clinical practice was not optimal. A stages of change model proposed by Grol and colleagues (2007) was a helpful framework for reflecting on the process, planning, and evaluation of strategies for facilitating change in clinical practice.
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