Keywords
Summary
178 words
Critical Evaluation
Value of the Information & Strength of the Argument
The webinar provides valuable, practical information for researchers using Covidence for systematic reviews. The presenter demonstrates the tool in a clear, step-by-step manner, using a relevant example (social media and body image) to illustrate the process. The argumentation is solid, grounded in established systematic review methodology, and the presenter offers practical tips for creating effective extraction templates. The session is well-paced and addresses common challenges, such as template iteration and managing changes after data extraction has begun.
Scientific Rigor, Source Quality, Title Accuracy
The content is scientifically rigorous, referencing the Cochrane Handbook for Systematic Reviews of Interventions as a key methodological source. The presenter, an experienced systematic reviewer, provides authoritative guidance. The title accurately reflects the content, which is a focused tutorial on Covidence’s Data Extraction 2 tool. The webinar is well-structured and aligns with best practices in systematic review methodology.
150 words
Title / Content Match
The title accurately reflects the content: a seminar series focused on Covidence's Data Extraction 2 tool.
Quality & Reliability
8/10
The webinar is presented by a consultant systematic reviewer from Covidence, providing an authoritative and practical demonstration of the Data Extraction 2 tool. The content is well-structured, based on established systematic review methodology (e.g., Cochrane Handbook), and includes live demonstrations. Minor limitations include the lack of peer-reviewed sources and the promotional nature of the webinar.
Key Moments
Markers derived by PSI from the transcript: the creator did not define chapters.
- Introduction and housekeeping by Terry McKeller, knowledge synthesis librarian at UNBC.
- Presenter Razia Aliani introduces herself and provides background on Covidence.
- Explanation of data extraction and its importance in systematic reviews.
- Overview of the data extraction process in Covidence, including template creation and publication.
- Demonstration of creating a data extraction template, including headings, subheadings, and field types.
- Demonstration of customizing the template with single choice, checkboxes, and tables.
- Explanation of the quality assessment template and how to set it up.
- Demonstration of the data extraction process, including single and dual extraction modes.
- Explanation of the consensus process and how to resolve differences between reviewers.
- Overview of export options for data analysis and synthesis.
Cited Sources
- Cochrane Handbook for Systematic Reviews of Interventions — Referenced as a key methodological source for data extraction best practices.
Concurring Sources
- Cochrane Handbook for Systematic Reviews of Interventions — The handbook provides guidance on data extraction forms and processes, which aligns with the webinar's content.
Contribution & Novelties
This webinar provides a practical, step-by-step tutorial on using Covidence’s Data Extraction 2 tool, which is particularly useful for researchers conducting qualitative or non-interventional systematic reviews. The presenter offers insights into template design, customization, and the consensus process, which are not typically covered in introductory materials. The demonstration using a real-world example (social media and body image) makes the content relatable and actionable.
Pour aller plus loin :
- Covidence Knowledge Base — Official documentation and guides for using Covidence.
- PRISMA Statement — Guidelines for reporting systematic reviews, relevant for understanding the overall review process.
- Cochrane Handbook — Comprehensive resource for systematic review methodology, including data extraction.
106 words
Radar Profile
The radar profile shows high scores in quantity and quality of information, indicating a content-rich and reliable tutorial. The technical level is moderately high, suitable for researchers with some familiarity with systematic reviews. The overall reliability is strong, reflecting the presenter's expertise and the use of established methodology.
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