Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Kvalitatiivne metatöötlus× | Skopinguuring× | |
|---|---|---|
| Valdkond≠ | Tõendite süntees | Stsientomeetria |
| Perekond | Process / pipeline | Process / pipeline |
| Tekkeaasta≠ | 2007 | 2005 |
| Looja≠ | Sandelowski & Barroso (2007), Popularized by Thomas & Harden (2008) | Hilary Arksey & Lisa O'Malley |
| Tüüp≠ | Framework | Evidence synthesis review design |
| Algallikas≠ | Thomas, J., & Harden, A. (2008). Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Medical Research Methodology, 8, 45. DOI ↗ | Arksey, H., & O'Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. DOI ↗ |
| Rööpnimetused | Qualitative Evidence Synthesis, Thematic Synthesis, Metasynthesis, Qualitative Systematic Review | scoping study, literature scoping, evidence mapping review, rapid evidence map |
| Seotud≠ | 2 | 6 |
| Kokkuvõte≠ | Qualitative meta-synthesis is a systematic method for synthesizing findings from multiple qualitative research studies (interviews, focus groups, ethnographies) to develop integrated interpretations and theoretical insights. Formalized by Sandelowski and Barroso (2007) and popularized by Thomas and Harden (2008), qualitative meta-synthesis preserves the rich, contextual, interpretive nature of qualitative evidence while enabling broader conclusions across multiple studies. Unlike quantitative meta-analysis, which pools numbers, qualitative meta-synthesis synthesizes themes, meanings, and conceptual insights—answering questions like 'How do cancer patients experience treatment side effects?' or 'What factors shape patient engagement with preventive health programs?' across multiple studies. | A scoping review is a systematic evidence-synthesis method that maps the breadth and nature of research on a topic — identifying key concepts, evidence types, and gaps — without necessarily appraising study quality or pooling effect sizes. Developed by Arksey and O'Malley (2005) and refined by Levac and colleagues (2010), it is particularly valuable for emerging or heterogeneous fields where a full systematic review would be premature or infeasible. |
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