Introduction to Evidence Reviews

This live online course explores the usefulness of review methods, their similarities and differences, strengths and limitations, and guides you through the key review stages.

*Price: £165 for SRA members, £220 for non-members. It runs over two mornings and uses Zoom software.

Who will benefit? Researchers and research commissioners in need of a refresher or who are new to evidence reviews. NB. This course runs over two consecutive mornings

• 17 January 2023 - 9.15 am to 1.30 pm
• 18 January 2023 - 9.15 am to 1.30 pm

Introduction/Overview

Policy-makers, practitioners and researchers want to have access to the best possible evidence to inform decisions and choices. Evidence reviews can provide this but it’s important to choose the appropriate review method for the aims of the study. This course will introduce rigorous evidence reviewing methods, including systematic reviews, rapid evidence assessments, rapid reviews, scoping reviews, evidence maps and literature reviews, and assumes no prior knowledge of these methods. Participants will explore the usefulness of review methods, their similarities and differences, strengths and limitations, and be guided through the key review stages – search, screening, data extraction and data synthesis. The course will include practical sessions and tips for how to design evidence reviews appropriate for different policy questions, timescales and budgets.

Learning outcomes

By the end of the workshop, participants will:

• Understand the differences between the different types of reviews, their key features, strengths and limitations
• Be able to formulate appropriate review questions for policy clients
• Understand the importance of having a clear and succinct review protocol and know how to put it together
• Understand how to locate relevant studies (e.g. through searching and screening)
• Be able to extract relevant and appropriate data from sources in responding to reviews aims
• Understand how to assess and critique the quality and content of sources/evidence (e.g. weight of evidence)
• Be clear on the key principles of data synthesis

Topics covered include:

• Systematic review
• Rapid evidence assessment
• Rapid review
• Scoping review
• Evidence maps
• Literature reviews
• Searching
• Screening
• Data extraction
• Quality appraisal
• Data synthesis