Developing and Evaluating Complex Intervention Training

Are you working in public health practice or in social policy? Are you looking to implement an intervention with multiple components and multiple effects?

In partnership with DECIPHer, Public Health Insight is running a five day intensive training course to support researchers develop the skills and confidence to both develop and evaluate complex interventions.

Over the first two days of the course we will focus on developing complex interventions. Participants will:

  • Build understanding of the socio-ecological model of health and how it can be used as a framework for designing public health improvement interventions and policies.
  • Learn about research methods used for developing new interventions and how to build logic models.
  • Gain practical advice on how Public Health Insight works with policy-makers, health professionals and the public to co-produce interventions.

The next three days we will focus on evaluation. Participants will:

  • Develop a working knowledge of the key frameworks and methodologies currently used to evaluate complex interventions.
  • Develop understandings of the practical challenges and limitations of these frameworks and methodologies.
  • Gain practical advice for how to work with other scientists, policy-makers, practitioner to evaluate the effectiveness of complex interventions.

Key topics covered:

  • 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
  • Methods for involving policy makers, practitioners and the public
  • The Medical Research Council (UK) framework for evaluating complex interventions
  • The RE-AIM framework for public health intervention
  • New MRC process evaluation guidance
  • Pilot trials and feasibility studies
  • Randomised controlled trials (RCTs), including pragmatic, 'realist' and policy trials
  • Natural experiments and data linkage
  • Implementation factors

Course facilitators include:


Download Course Flyer

Duration: 5 days

Date: November 9th-13th, 2015

Time: 9am-5pm

Place: The Woodward Centre, The University of Melbourne

Price: $1500 + GST

To register for the course visit: Our sign up page

Please contact us if you have any questions.

Bookings for the course will open in June 2015