Host: The Impact Accelerator Unit, Keele Medical School, Staffordshire UK (held online via MS Teams)

Aim: to improve knowledge and understanding of the practical ways to design and use knowledge mobilisation strategies in health and care practice. Combining talks and interactive breakout sessions, you will be guided through the theories and practical strategies to support knowledge mobilisation in research design and practice.  

Objectives: 

• Understand the practical ways in which knowledge mobilisation theory can be applied to implementation and why this is important 
• Understand the important role of knowledge mobilisation in getting best evidence into health and care practice and policy 
• Understand how to design a knowledge mobilisation and implementation strategy 
• Consider how to better engage stakeholders and know which stakeholders to engage in the implementation process 
• Understand how to influence organisations and policy 
• Understand different types of impact and pathways to impact  
• Understand our how our Impact Accelerator Unit works and how to establish your own ‘impact team’ 
• Develop a draft knowledge mobilisation proposal or implementation strategy for funding 
  
  
  

 Keynote lecture from John Gabbay and Andree Le May and a host of sessions delivered by renowned NIHR Knowledge Mobilisation Fellows.

This 3-day summer school is designed to introduce the key components and uses of prognosis research to health professionals and researchers, including:

• a framework of four different prognosis research questions: overall prognosis, prognostic factors, prognostic models, and stratified medicine
• key principles of study design and methods
• interpretation of statistical results about prognosis
• the use of prognosis research evidence at multiple stages on the translational pathway toward improving patient outcome
• the limitations of current prognosis research, and how the field can be improved

The course consists of lectures from a core faculty of epidemiologists, statisticians and clinical researchers, alongside group work and discussion sessions.

To attend the course please complete the form in the link below to receive the necessary token to complete the purchase.

This online course provides a thorough foundation of statistical methods for developing and validating prognostic models in clinical research. The course is delivered over 3 days and focuses on model development (day 1), internal validation (day 2), and external validation and novel topics (day 3). Our focus is on multivariable models for individualised prediction of future outcomes (prognosis), although many of the concepts described also apply to models for predicting existing disease (diagnosis).

To attend this course please complete the form in the link below to receive the necessary code to complete your purchase.