Upcoming Covidence Training for Dalhousie affiliates:
Have you got questions about how to use Covidence for your project or review? Then please join us for our upcoming training webinar for Dalhousie University users at 1:00 pm (ADT) on Tuesday, April 20th, 2021. Register through Covidence for this webinar here.
This session includes a live demo providing an overview of the systematic review workflow, and will cover the following topics:
1. What’s new in Extraction 2.0 and why we improved it2. What study types, review types and quality assessment types are now supported
3. How to save time with the new template builder
4. Our top five tips to consider before and during your next data extraction
5. We’ll then aim to answer questions at the end, whether that’s about data extraction itself, or using Covidence to do it
This webinar is for researchers who have some familiarity with systematic/scoping reviews and Covidence. An introductory overview with more details will be offered during the Library Research Bootcamp later this spring.
Please be sure to register here if you'd like to join this webinar, or if you're unable to join but would like to receive a recording of the session ~24 hours after it commences.
(Littell, Corcoran, & Pillai 2008) 
Introductory video from Yale University's informative video series on systematic reviews:
Systematic reviews are an integral part of Evidence Based Practice. They are types of syntheses, which sit in the middle of the 6S Pyramid of filtered or pre-appraised evidence. The 6S Pyramid shows the hierarchy of the strongest types of medical evidence.
For more information on Evidence Based Practice, please visit the EBP section of the Medicine Subject Guide:
Plan ahead. Systematic reviews normally take over a year to complete; be sure to allow ample time to produce the highest quality report possible.
Assemble a team. Systematic reviews are never produced independently, but rely on a team of experts working together.
Brush up on your search skills. Be sure to familiarise yourself with advanced searching techniques, especially in the most common health sciences databases.
Know what's required. For the purpose of transparency and reproducibility - the tenets of good science - your systematic review should adhere to guidelines on standards. For more information about these guidelines, click here.