CHSPI | Training

Implementation Science Course – Adoption and Integration of Evidence-Based Practices

Module Learning outcomes
1. Introduction to Implementation Science
  • Introduce definitions and commonly used ‘buzz words’ when talking about Implementation Science.
  • Make sense of the commonly used theories, models and frameworks that are used in implementation science.
  • Understand that implementation strategies are typically introduced into complex environments, and this can greatly influence outcomes.
2. Problem Identification
  • Discuss the different stages in a life cycle of a project and the importance of stakeholder engagement.
  • Understand the importance of problem analysis as a key initial step in addressing an implementation challenge.
  • Introduce a range of tools (from simple to complex) to systematically define problems.
3. Intervention Design
  • Develop logic models that link the problem, interventions and desired outcomes for an implementation project.
  • Understand the importance of holistic considerations and involvement of end users in the design of an intervention or implementation program.
  • Learn how to use specific implementation frameworks to guide the design of interventions.
4. Evaluation
  • Understand the importance of evaluation and different types of evaluation approaches.
  • Revisit the use of a logic model to develop and track outcome measures of interest.
  • Understand the principles of impact evaluation, process evaluation and economic evaluation.

Introduction to Health Technology Assessment for Universal Health Coverage

This online course, delivered through a blend of synchronous and asynchronous learning, introduced the principles of Health Technology Assessment (HTA) and its role in supporting evidence-informed health policy and financing decisions for Universal Health Coverage (UHC). Delivered by the Centre for Health Systems Policy and Innovation (CHSPI) in collaboration with The George Institute for Global Health and the University of Colombo, the course included weekly live discussions with faculty. No prior knowledge of health economics or HTA was required.

Learning Outcomes

By the end of the course, participants should be able to:

  • Describe what HTA is and why this is important for health policy decisions in the context of Universal Health Coverage (UHC).
  • Understand what types of evidence are considered as part of the HTA process and how they are brought together to assess cost-effectiveness.
  • Recognize best practices in the conduct and reporting of HTA studies.
  • Understand the role of cost-effectiveness thresholds in defining value for money.
  • Be aware of other important factors in policy decision making, including equity.