91. How Mixed Methods Support Implementation Science

About this lesson

Welcome to Module 5.17 in our mixed methods research series! This session explores how mixed methods approaches enhance implementation science: the study of how to effectively bring evidence-based practices into real-world settings. Learn how mixed methods align with implementation priorities, support key frameworks, and deliver powerful insights on both process and outcomes.

What You’ll Learn

• How implementation science benefits from mixed methods approaches
• The role of mixed methods in evaluating context, process, and outcomes
• Contributions to identifying barriers, adaptations, and stakeholder insights
• Integration with leading frameworks: CFIR, RE-AIM, EPIS
• How to match methods to framework components for meaningful, multi-dimensional data

Topics Covered

Implementation challenges and contextual influences Stakeholder engagement and real-world complexity Mixed methods strategies for evaluating effectiveness and sustainability Practical uses of CFIR, RE-AIM, and EPIS frameworks Perfect for researchers, students, and practitioners, this module helps you design and evaluate implementation projects using mixed methods, bridging the gap between evidence and action.

Lesson notes

Full written notes for this lesson are in production. Until they publish, watch the video above and use the summary on this page as your study guide.