Notice bibliographique
Résumé
The preparation of healthcare practitioners is the foundation platform upon which a career in healthcare is built. This preparation is strictly regulated with content and competences clearly articulated. That said the challenge to ensure that pain is a competency of every nurse has not yet been endorsed in the UK. Here in Canada the Canadian Nurses Association stipulates that the competencies required of a registered nurse will include pain assessment, prevention and management. The alignment of competencies with the needs of the population is essential. The preparation of nurses should be closely aligned with the health needs of the population and attempts have been made to move the focus from hospital to community settings; with a resultant shift from an emphasis on disease to health and wellness. There is a greater focus on the management of long-term conditions and recognition that much of the care will take place in community settings. It would seem logical that the content and competences required for registration reflects the growing burden of chronic illness as evidenced by high prevalence rates in the UK for hypertension, cardiovascular disease, diabetes and obesity to name a few (Craig and Mindell, 2008). The survival rates for cancer are increasing which is good news but many people experience chronic pain due to their treatment. It would appear that we are not good at managing pain. It has been reported to be suboptimal in hospitals and the community for over 40 years and yet the alignment between educational preparation of health professionals to manage pain and the burden of chronic pain in the population appear to be grossly mismatched. The reasons for this are many but the one which is most agreed upon is that the pre-registration pain education, across the professions, is woefully inadequate. A survey conducted in Canada across universities and health professions, including veterinary medicine, found that veterinary students received five times the pain education of doctors (Watt-Watson et al. 2009). This prompted media attention and the appearance of a large dog on the front page of Maclean’s magazine (Canadian current affairs) with the caption ‘your dog gets better healthcare than you’. The same study was adapted and replicated in the UK and revealed similar findings with
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 | 0,015 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 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; un appel candidat d’une seule tête enseignante, 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 ».