The colliding cultures of healthcare systems and academic research: the role of research teams
Notice bibliographique
Résumé
Background: The imperative to conduct relevant and responsive research to improve healthcare for patients, families, and communities, means researchers must develop best practices to work in concert with the health system research needs. Audience: This workshop will interest researchers, patient partners, and policy makers who work alongside each other for health system transformation. The session will explore challenges that arise during health system research and potential solutions to these challenges. Participants are encouraged to bring their own examples of what has worked well, what has not, and why (or why not). Approach:Introduction (0 minutes)Designed to foster discussion and generate solutions to challenges commonly faced by research teams when engaging in health system research, this session will encourage researchers, patient partners, and policy makers to share their own research experiences. This workshop, co-led by patient partners and researchers from Saskatchewan, Canada, will outline the provincial context for health services research. This will include a description of the relationships among patient partners, researchers, and Saskatchewan Health Authority (SHA) policy makers. Case Studies (5 minutes)The case studies will be briefly introduced by the principal investigators and patient partners, who will provide an outline of how, why, and for whom, what worked, and/or what did not work. These patient-oriented research (POR) case studies demonstrate a spectrum of successful engagement with health system transformation. The first case study addresses the multiple challenges presented when the researcher had limited access to control over the resources. The second case study highlights the opportunities for the research to be more responsive to changes in the direction of the project when the researcher was an embedded member of a health system working group. The final case study illustrates a situation where the researcher was an embedded co-lead of the health system initiative. Each case will also include a description of the challenges patient partners faced when collaborating across the two complex systems. After presenting the lessons learned from the case studies, participants will be provided with questions to engage them in small group discussions of their own experiences with the challenges and successes of POR health system research. Small Group Discussion (25 minutes)Participants will be invited to discuss their perspectives regarding POR in health systems. Each group of 4-6 participants will be facilitated by a patient partner and a designated group member will record and report on the group discussion. For the first ten minutes, participants will be asked to discuss: What are the similarities and differences between your own experiences and the case studies that were presented? Next, participants will be asked: what are your perspectives on best practices to overcome challenges engaging in research with multi-stakeholder teams of patient partners, researchers, and policy-makers? By the end of the discussion, each group will have identified one take-home message about best practices for health system transformation research. Group Feedback and Reporting (0 minutes)The designated group member will report their conclusions to the larger group. The goal will be to identify commonalities across the groups. Key commonalities will be recorded by workshop co-leads on PowerPoint slides. Summary and Closing (5 minutes)The key takeaways from the session will be summarized by the workshop facilitator, who is an expert in knowledge mobilization. The content of the slides will be disseminated to interested workshop participants following the session for future reference.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,427 | 0,327 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,004 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,009 | 0,010 |
| Études des sciences et des technologies | 0,058 | 0,155 |
| Communication savante | 0,097 | 0,076 |
| Science ouverte | 0,010 | 0,085 |
| Intégrité de la recherche | 0,016 | 0,026 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,003 |
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; l’étiquette directe de Gemma et le classifieur distillé Codex 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 ».