Assessing how information is packaged in rapid reviews for policy-makers and other stakeholders: a cross-sectional study
Notice bibliographique
Résumé
BACKGROUND: Rapid reviews (RRs) are useful products to healthcare policy-makers and other stakeholders, who require timely evidence. Therefore, it is important to assess how well RRs convey useful information in a format that is easy to understand so that decision-makers can make best use of evidence to inform policy and practice. METHODS: We assessed a diverse sample of 103 RRs against the BRIDGE criteria, originally developed for communicating clearly to support healthcare policy-making. We modified the criteria to increase assessability and to align with RRs. We identified RRs from key database searches and through searching organisations known to produce RRs. We assessed each RR on 26 factors (e.g. organisation of information, lay language use). Results were descriptively analysed. Further, we explored differences between RRs published in journals and those published elsewhere. RESULTS: Certain criteria were well covered across the RRs (e.g. all aimed to synthesise research evidence and all provided references of included studies). Further, most RRs provided detail on the problem or issue (96%; n = 99) and described methods to conduct the RR (91%; n = 94), while several addressed political or health systems contexts (61%; n = 63). Many RRs targeted policy-makers and key stakeholders as the intended audience (66%; n = 68), yet only 32% (n = 33) involved their tacit knowledge, while fewer (27%; n = 28) directly involved them reviewing the content of the RR. Only six RRs involved patient partners in the process. Only 23% (n = 24) of RRs were prepared in a format considered to make information easy to absorb (i.e. graded entry) and 25% (n = 26) provided specific key messages. Readability assessment indicated that the text of key RR sections would be hard to understand for an average reader (i.e. would require post-secondary education) and would take 42 (± 36) minutes to read. CONCLUSIONS: Overall, conformity of the RRs with the modified BRIDGE criteria was modest. By assessing RRs against these criteria, we now understand possible ways in which they could be improved to better meet the information needs of healthcare decision-makers and their potential for innovation as an information-packaging mechanism. The utility and validity of these items should be further explored. PROTOCOL AVAILABILITY: The protocol, published on the Open Science Framework, is available at: osf.io/68tj7.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
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 | 0,034 | 0,020 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».