Best evidence Synthesis
- Individual research studies rarely provide reliably generalizable and definitive answers to research questions. Best-evidence synthesis is one way of increasing generalizability. According to its proponents, best-evidence synthesis couples the statistical rigour of meta-analyses in synthesizing quantitative findings with the flexibility of traditional narrative reviews. The method entails having explicit, well-justified and well-described inclusion criteria in the review. Unlike meta-analyses, best-evidence syntheses are not limited to statistical aggregation and the analysis of quantitative results but supplement these features with a broader literature review that might include qualitative analysis and engage in discussion of discrepancies in results that cannot be quantified.