Estimating the cost of wounds for the United Kingdom and its countries
Notice bibliographique
Résumé
Capturing and understanding the costs of managing wounds within a healthcare facility is hard enough, but doing this for a whole country is next to impossible. Over the years several groups have captured costs within the United Kingdom and have estimated the total cost nationally.1-9 The authors of these studies detail their limitations and often state that their figures are likely an underestimate of the real cost. A recent editorial in the International Wound Journal10 introduced an approach to estimate the possible costs of wound care using freely available governmental health data,11, 12 population statistics13 and the research findings of many national groups,1-9 within the United Kingdom. Using the methodology of Queen and Harding,10 an estimate of the costs of wounds in both the United Kingdom as a whole, and the individual countries of which it is comprised was carried out. The following figure provides a snapshot of the possible costs of wound care within the United Kingdom in the year 2022. From the previous editorial10 it was estimated that the costs of wound care in the United Kingdom (2019) were 10.1 billion PPP International Dollars (or 6.8 billion GBP—using the IMF Conversion Rate14). An international dollar being defined as being able to buy in the cited country a comparable amount of goods and services a US dollar would buy in the United States.15 Our analysis shows a significant increase over the 3 years since the original editorial.10 As discussed in a recent editorial on Canadian costs, the authors detailed the potential impact of COVID-19 in the subsequent years but regarded this as not impacting the likely estimate of costs.16, 17 The data presented in Figure 1 provides a crucial estimate of the likely costs of wounds across the United Kingdom. The costs are significant across all geographies of the United Kingdom and the breakdown aligns with previous studies in some of these geographies.5, 6 These figures can provide a vital benchmark with regard to governmental impacts both regionally and nationally. Comprehending the economic impact of wound care offers valuable insights to policymakers and healthcare leaders, shedding light on the broader economic implications of wound management and its costs to the National Health Service. This knowledge serves as a foundation for informed decision-making and the development of policies and research direction that support effective wound prevention and care practices. While the IWJ has pledged to update the global picture annually,10 including the United Kingdom, we encourage national UK entities to provide the regional updates regularly to keep researchers up to date with the most recent estimates based on updated government statistics and any local research findings.
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 | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| 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 ».