Notice bibliographique
Résumé
The authors of this article have captured the complex ity and intersection of numerous key factors impacting physiotherapists' perspectives on professional practice models: (1) support networks, (2) environments that support a community of practice, (3) support for profes sional development, (4) integration of professional prac tice leaders strategically within organizational design to enhance influence, and (5) balance professional practice accountabilities through integrated leadership roles.With significant changes underway across the health sector, health care organizational structures will continue to evolve to enhance patient-centric care as a key princi ple.Many organizations should be recognized for their creative and strategic vision to evolve structures beyond true hospital boundaries through developing mergers and cross-sector partnerships to meet patient care needs more effectively.As our organizational structures become more complex, the importance of professional practice mod els to support clinicians in the intersections of practice, research, and education has never been more important.How might these elements enhance practice and clin ical care during a crisis in a global pandemic?These ele ments reflected the infrastructure required to support a magnitude of constant change to keep a health system stable to support patients when they most needed it.At the time of this study, February to April 2020, Ontario, as well as many provinces across the country, were expe riencing waves one to three of the COVID-19 pandemic, with future waves to follow.Adaptive models of care were required to address the crisis and support changes to the provision and prioritization of care as hospital admissions soared and most organizations experienced health human resource challenges. 2 Professional practice groups across the health system orchestrated these changes.The lens of professional practice and professionspecific leadership was critical to review regulatory stan dards, policies, clinical practice guidelines, and teambased approaches to care to understand how best to prioritize and deliver care in the context of the pandemic.Support networks, communities of practice, and strategi cally aligned leaders were all enablers to ensure profes sions were supported to deliver the safest and best care possible in unprecedented circumstances, and for an unprecedented duration of time.With the volume and pace of change, distributed leadership roles and load sharing were highly effective in responding quickly to the ever-changing aspects of this crisis.As our health care systems strives to stabilize, the triad of organizational change, pandemic recovery, and health human resources challenges have been a catalyst for many organizations to pause and re-focus on clinicians, specifically
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 | 0,007 | 0,065 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,008 | 0,005 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,007 | 0,003 |
| Intégrité de la recherche | 0,044 | 0,048 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,034 | 0,030 |
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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».