National approaches to wound treatment and prevention
Notice bibliographique
Résumé
In the past few years, geographies around the world are struggling with the costs of healthcare with our ever-aging population. Are we simply living too long or not paying enough in taxation to cover the healthcare required? Or are the costs of healthcare mismanaged by systems that have not kept up with the changing demands of healthcare? These are all valid questions and governments are struggling with understanding and funding the solutions. As our focus is wound treatment and prevention, it is our responsibility as ‘leaders’ to help provide the solution and aid in the understanding. National wound initiatives are emerging in different parts of the world and are aiding in the provision of such a lead. Australia led the way with a National Collaborative Research Co-operative type approach driving both research and clinical standardisation. This will provide a coordinated approach to the continued development of wound care as a clinical specialty while providing valuable national data to further convince the government. Currently the Wales government in the UK is working with a number of groups in the principality to develop a national approach for Wales. This will require cross-departmental functioning within government ensuring all stakeholders required are involved and have a common understanding of the issues and more importantly solutions. Within England a group based in the North has come together to establish a similar Centre of Excellence concept and develop an appropriate means to address the changing approach appropriate for the changing healthcare environment in England. This group has commissioned research to provide governmental agencies with the necessary data to drive funding. Similarly within Canada, a number of wound care focused associations and Industry have come together to establish the Wound Care Alliance Canada which has begun the task of involving and convincing government to fund a similar approach applicable to the Canadian geography. Our call to all involved is to share such experiences. We began this process with a recent guest editorial that focused on the Australian CRC. If you are aware of or are involved in any similar initiatives please consider providing us with details of your plans that we will then consider for publication. The IWJ can provide a voice to such initiatives providing a reference source to those wishing to develop systems and structures that are appropriate for their geography focussed in this area. Dr Douglas Queen, Editor, IWJ 1 Professor Keith Harding, Editor-in-Chief, IWJ 2
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 | 0,016 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,006 |
| Communication savante | 0,008 | 0,006 |
| Science ouverte | 0,003 | 0,021 |
| Intégrité de la recherche | 0,007 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,023 | 0,006 |
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 ».