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Enregistrement W4389607276 · doi:10.1111/iwj.14522

International opinion—The true cost of wounds for Canadians

2023· editorial· en· W4389607276 sur OpenAlexaffabout
Douglas Queen, Mariam Botros, Keith G Harding

Notice bibliographique

RevueInternational Wound Journal · 2023
Typeeditorial
Langueen
DomaineMedicine
ThématiqueWound Healing and Treatments
Établissements canadiensProfound Medical (Canada)
Organismes subventionnairesnon disponible
Mots-clésPer capitaHealth careMedicineWound carePopulationHealth economicsEstimationActuarial scienceEnvironmental healthIntensive care medicineEconomic growthNursingPublic healthBusinessEconomicsManagement

Résumé

récupéré en direct d'OpenAlex

For many wound carers within Canada getting a handle on the costs associated with their management of chronic wounds is difficult, if not impossible. There are some published figures geographically, both national and provincial, but most of these are not “standardized” to permit comparison easily or directly. One consistent theme from several international research studies, however,1-12 is that they relate the costs of wounds, extrapolated or otherwise, to the total geographic healthcare costs. This provides a percentage figure as a benchmark, an approach which Canada has used previously.13 A simple literature search shows both the paucity of data generally across Canada, in some provinces and also the outdatedness of the data, with most of it being published over a decade ago. Due to the difficulties of capturing such cost data, most of these studies caution their results as an underestimate of the costs involved, with Canada being no different to the others. A recent editorial in the International Wound Journal14 introduced an approach to estimate the possible costs of wound care using freely available governmental health data, population statistics, and the research findings of many international groups. Using these statistics and a simple formula provides an estimate of the likely costs of wound care within both Canada and the provinces and territories of which it is comprised. EWCE—Estimated Wound Care Expenditure (PPP International $)—our estimate of the likely wound care costs. PCHCS—Per Capita Health Care Spend (PPP International $)15, 16—current published per capita healthcare cost. For the purposes of this editorial, we focused on 2019 to eliminate and bias related to COVID-19 costs. We will jump ahead to 2022 when they are published. TP—Total Population.17 AWCCP—Average Wound Care Cost Percentage1-12—several published studies have indicated that the percentage of total healthcare costs that is represented by the cost of wounds ranges from 2% on the low end to 5% on the high end. For the purposes of our calculations, remembering different geographies can be at differing evolutionary stages regarding wound care, we chose the median of 3.5% as the AWCCP. The following table provides a snapshot of the possible costs of wound care within Canada in the year 2022. From the previous editorial,14 it was estimated that the costs of wound care in Canada were 6.9 billion PPP International Dollars (or 8.28 billion CAD—using the IMF Conversion Rate18). An international dollar is defined as being able to buy in the cited country a comparable amount of goods and services a U.S. dollar would buy in the United States.19 The 3 years between estimates were highly influenced by COVID which drove up per capita cost significantly during that period. This may or may not have artificially inflated the estimate for the cost of wounds. However, several studies showed that wound care was less than optimally delivered during this period and as such the costs of wound care would be higher it may be a real reflection of the true costs during the pandemic timeframe.20 The data presented in Table 1 provide a crucial estimate of the likely costs of wounds across Canada's provinces and territories. This comprehensive national perspective on wound costs significantly surpasses prior estimates from 2012.13 It acts as a vital benchmark at both provincial and national levels, serving as a tool for evaluating the effectiveness of standardizing wound care, advancing education, and training initiatives, and measuring the return on investment for government-funded research and educational grants in this clinical field.21 Identifying realistic estimates of the cost of wounds enables healthcare organizations to optimize resource allocation, facilitating the efficient allocation of budgets, and personnel to address the unique needs of patients. Secondly, this understanding acts as a catalyst for elevating the quality of care provided to individuals with wounds. Organizations are incentivized to invest in training, acquire necessary technology, and adopt best practices, all of which contribute to cost reduction while simultaneously enhancing patient outcomes. Furthermore, 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. 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, including Canada, we encourage national Canadian 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 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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,029
Score d'incertitude au seuil0,864

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,033
Tête enseignante GPT0,378
Écart entre enseignants0,346 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2023
Routes d'admission2
Résumé présentoui

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