See "Guidance for Evidence Synthesis" for official guidelines from national and international evidence synthesis organizations
1. Assemble a Team
- At least three people to reduce bias in screening, quality analysis, and data extraction
- Subject experts
- Librarians
- Experts who can advise on quality assessment tools for different study types
- Statisticians (especially if you are conducting a meta-analysis)
2. Develop a Research Question
3. Define Inclusion and Exclusion Criteria
- Examples of common Inclusion criteria:
- Characteristics of the population
- Specific interventions or concepts
- study types (i.e. qualitative, quantitative, both)
- Date parameters
- Language
- Examples of common exclusion criteria:
- Certain publication types like editorials, news items, or books
- Items in languages that the team cannot easily translate
- Studies that don't reflect the target populations, interventions, or concepts
- Animal or cadaver studies
4. Write and Register a Protocol
4. Search the Literature
- Search at least three bibliographic databases
- Use controlled vocabulary and keywords
- More details are provided in Literature Search tab
5. Screen and Select Studies for analysis
- Usually conducted in two passes
- Review title and abstract
- Review full text
- Covidence software can help with this step!
6. Assess study quality (may not be appropriate for all review types)
- Each study meeting the inclusion criteria is assessed for quality
- Use a quality assessment tool that matches the type of studies you are analyzing.
7. Extract Data
- Reviewers will extract information from the included documents to be analyzed either qualitatively or quantitatively.
8. Analyze and Present Results
- Can be qualitative, quantitative or both
9. Interpret Results
Reviewers should comment on:
- Strength of the evidence
- Applicability of the results
- Benefits/costs/tradeoffs
- Limitations
- Implication for future research
10. Update the Review as Needed
- New research findings can quickly make Evidence Synthesis reviews out of date.