Developing and Evaluating Complex Public Health Interventions Discounted
The aim of this course is to provide you with an introduction to the socio-ecological model of health and how it can be used as a framework for designing public health improvement interventions.
You will also learn about different research methods used for developing new interventions, how to develop an intervention ‘logic model’, and how DECIPHer works with policy-makers, health professionals and the public to co-produce interventions.
Enrol on this course
|Start date||Days and times|
|22 June 2020||22, 23, 24, 25, 26 June|
Who it’s for
Academics, practitioners and policymakers interested in the development and evaluation of complex public health interventions. No prior knowledge is assumed.
What you’ll learn
- The theory and rationale underpinning the socio-ecological model
- Complex systems perspectives
- Typologies and examples of complex interventions
- Research methods and tools for intervention development
- Logic model development to inform the design and future evaluation of new interventions
- Methods for involving policy makers, practitioners and the public
- The MRC framework for evaluating complex interventions
- The RE-AIM framework for public health intervention
- MRC process evaluation guidance
- Pilot trials and feasibility studies
- Randomised controlled trials (RCTs), including pragmatic, 'realist' and policy trials
- Natural experiments and data linkage
- Economic evaluation of complex interventions.
It will provide you with a working knowledge of the key frameworks and methodologies currently used to evaluate complex interventions.
Teaching will be delivered by experts in the field of public health intervention from DECIPHer and our collaborating institutions, including Welsh Government, University of Bristol, University of Exeter and Ludwig Maximilian University of Munich. You will also learn about how to work with other scientists, policy-makers, practitioners and the public to apply for funding to pilot and evaluate the effectiveness of complex interventions.