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Methods: An algorithm was developed delineating areas of responsibility and accountability in the EBP process to promote collaboration and inform the development of a new knowledge translation model, the Collaborative Model of Evidence Translation (CoMET), based on the concepts of the Promoting Action on Research Implementation in Health Services (PARIHS) framework. The algorithm was tested on a select policy initiative implementing the use of buffered lidocaine as intradermal anesthesia for IV insertions. Planning and implementation tools were developed based on the algorithm and the effectiveness tested. Posters describing the CoMET were also used on participating units to inform staff about the model accompanied by an explanation of the study and data collection results. CoMET lapel pins were distributed to initiate discussions. Monthly newsletters were developed and distributed to all staff on the participating units to provide additional education about the CoMET, report unit participation and continuously disseminate outcome results.
Results: The algorithm successfully partnered the councils when reviewing, communicating, implementing, and monitoring compliance and outcomes of the EBP initiative. The tools were effective in identifying key responsibilities in the knowledge translation process and resulted in a successful practice implementation demonstrating improved patient satisfaction outcomes.
Conclusions: A clear process for improving quality outcomes is imperative to ensure that policies, practice changes, and standards of care will be evidence-based and that outcomes will be monitored to assure the practice change occurred and an improvement in outcomes is realized. The implementation of this collaborative algorithm demonstrated an improved affect and solidified the process of the communication, implementation and monitoring of outcomes of EBP practice changes.