12 Critical appraisal tools for qualitative research – towards ‘fit for purpose’
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Notice bibliographique
Résumé
<h3></h3> Qualitative research has an important place within evidence-based health care (EBHC), contributing to policy on patient safety and quality of care, supporting understanding of the impact of chronic illness, and explaining contextual factors surrounding the implementation of interventions. However, the question of whether, when and how to critically appraise qualitative research persists. Whilst there is consensus that we cannot - and should not – simplistically adopt existing approaches for appraising quantitative methods, it is nonetheless crucial that we develop a better understanding of how to subject qualitative evidence to robust and systematic scrutiny in order to assess its trustworthiness and credibility. Currently, most appraisal methods and tools for qualitative health research use one of two approaches: checklists or frameworks. We have previously outlined the specific issues with these approaches (Williams et al 2019). A fundamental challenge still to be addressed, however, is the lack of differentiation between different methodological approaches when appraising qualitative health research. We do this routinely when appraising quantitative research: we have specific checklists and tools to appraise randomised controlled trials, diagnostic studies, observational studies and so on. Current checklists for qualitative research typically treat the entire paradigm as a single design (illustrated by titles of tools such as ‘CASP Qualitative Checklist’, ‘JBI checklist for qualitative research’) and frameworks tend to require substantial understanding of a given methodological approach without providing guidance on how they should be applied. Given the fundamental differences in the aims and outcomes of different methodologies, such as ethnography, grounded theory, and phenomenological approaches, as well as specific aspects of the research process, such as sampling, data collection and analysis, we cannot treat qualitative research as a single approach. Rather, we must strive to recognise core commonalities relating to rigour, but considering key methodological differences. We have argued for a reconsideration of current approaches to the systematic appraisal of qualitative health research (Williams et al 2021), and propose the development of a tool or tools that allow differentiated evaluations of multiple methodological approaches rather than continuing to treat qualitative health research as a single, unified method. Here we propose a workshop for researchers interested in the appraisal of qualitative health research and invite them to develop an initial consensus regarding core aspects of a new appraisal tool that differentiates between the different qualitative research methodologies and thus provides a ‘fit for purpose’ tool, for both, educators and clinicians.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,025 | 0,087 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,004 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle