a5c-ai Systematic Review Skill
Conduct comprehensive literature searches, quality assessments, and evidence synthesis including meta-analysis.
Overview
The Systematic Review skill enables conducting comprehensive literature searches, quality assessments, evidence synthesis, and meta-analyses following established protocols for rigorous evidence-based research and policy making.
Capabilities
Search Strategy
- Database selection
- Search term development
- Boolean operators
- Citation tracking
- Grey literature inclusion
Study Selection
- Inclusion/exclusion criteria
- Screening procedures
- Dual review process
- Disagreement resolution
- PRISMA documentation
Quality Assessment
- Risk of bias tools
- Quality checklists
- Evidence grading
- Study appraisal
- Bias identification
Evidence Synthesis
- Narrative synthesis
- Vote counting
- Framework synthesis
- Thematic synthesis
- Realist synthesis
Meta-Analysis
- Effect size calculation
- Heterogeneity assessment
- Fixed/random effects
- Publication bias
- Sensitivity analysis
Usage Guidelines
When to Use
- Synthesizing evidence
- Informing policy
- Identifying research gaps
- Establishing consensus
- Supporting decisions
Best Practices
- Register protocol
- Document thoroughly
- Use multiple reviewers
- Assess bias
- Update regularly
Integration Points
- Quantitative Methods skill
- Qualitative Analysis skill
- Policy Communication skill
- Academic Writing and Publication skill
References
- Literature Review and Synthesis process
- Policy Impact Assessment process
- Policy Research Analyst agent
- Mixed Methods Research Coordinator agent