Section outline
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Course Overview
Course Overview
This course provides a comprehensive introduction to the process of conducting a systematic review, including carrying out scoping searches, developing inclusion criteria, writing a protocol, screening titles, and extracting and quality assessing data.
Learning Outcomes
This course will help you to:
- Recognize what a systematic review is and how it differs from other types of evidence syntheses
- Identify what scoping searches are and how to carry them out
- Screen the titles and abstracts of potentially eligible studies
- Recognize why, when, and how to undertake your data extraction
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Course Instructors
Course Instructors
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Pre-Course Self Assessment
Pre-Course Self Assessment
Before you dive into this course, spend a few moments reflecting on your familiarity with the topic and your current level of skills confidence.
You will then re-visit the same questions in our Post-Course Self Assessment and reflect on how the course has helped you develop in confidence and grow your skills.
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Module One: What Is a Systematic Review?
This module will help you to:
- Recognize what a systematic review is and how it differs from other types of evidence syntheses
- Identify the steps involved in carrying out a systematic review
- Assess when it might be appropriate to conduct a systematic review
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Module Two: How Do I Define the Scope of a Systematic Review?
This module will help you to:
- Refine and clarify your review question
- Identify what scoping searches are and how to carry them out
- Develop and refine your inclusion and exclusion criteria
- Write your review protocol
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Module Three: How Do I Find Appropriate Evidence?
This module will help you to:
- Identify the most appropriate bibliographic databases to search
- Design your search strategy
- Screen the titles and abstracts of potentially eligible studies
- Select full-text papers for inclusion in your review
- Report the methods and results of your search for evidence
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Module Four: How Do I Extract, Summarize, and Assess Relevant Data?
This module will help you to:
- Recognize why, when, and how to undertake your data extraction
- Report the results of your data extraction
- Identify quality assessment tool(s) that suit your review
- Tabulate and summarize the results of your quality assessment
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References and Glossary of Key Terms
References and Glossary of Key Terms
In addition to the glossary you’ll find woven throughout the course, you can find the full glossary collated in one place here.
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Post-Course Self Assessment
Post-Course Self Assessment
Now you’ve completed the course, spend a few moments reflecting on where your familiarity with the topics and your confidence skills levels are at now.
Has the course helped you develop new skills and grow your confidence?
You'll need to complete the Post-Course Self Assessment in order to download your certificate. If you didn't do the Pre-Course Self Assessment before starting the course, please go to the top of the page and reflect on your familiarity with the topic and your level of skills confidence before you started the course.
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Completion: Certificate
Completion: Certificate
Completing all modules (plus the pre and post-course assessments) will unlock the course certificate, which you can then download here. Your course certificate will only be made available once you have completed all these sections.
If you have difficulty accessing your certificate, please contact the Sage support team at: onlinesupport@sagepub.co.uk. You can also check out this FAQ page which may be helpful.
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Give Feedback About This Course
Give Feedback About This Course
Did you enjoy the course? Please take two minutes to share your feedback. We use learner feedback in future course updates and developments to provide an excellent learning experience.
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Accessibility
Accessibility
We have high standards of accessibility on Sage Campus and as of May/June 2024 all activities within this course are keyboard and screen reader compatible. For more details on accessibility standards, please see the Sage Campus Accessibility Guide.
For those using assistive technology, please note that within this course:
- Tab components: JAWS and NVDA behave slightly differently. For NVDA to keep reading, it is best to exit focus mode and go back to browse mode.
- Matching: JAWS does not read out question label on dropdown focus.
Original Publication date: 03-2025Last Updated: 06-2026