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Enregistrement W4384924680 · doi:10.1097/asw.0000000000000015

International Interprofessional Contributions to Improved Skin and Wound Care

2023· editorial· en· W4384924680 sur OpenAlexaboutno aff

Notice bibliographique

RevueAdvances in Skin & Wound Care · 2023
Typeeditorial
Langueen
DomaineHealth Professions
ThématiqueInterprofessional Education and Collaboration
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineWound careSkin careMEDLINEDermatologyIntensive care medicineNursing

Résumé

récupéré en direct d'OpenAlex

This issue of Advances features three important articles from lead authors in Switzerland, the US, and Canada in the fields of nursing, physiotherapy, and medicine, representing the journal’s international and interprofessional focus. These articles describe video education patient storytelling methods; how to perform comprehensive wheelchair assessments; and lessons learned from pressure injuries (PIs) associated with COVID-19 infections, especially with prone positioning. In the study by RN Corinne Brunner and interprofessional colleagues from Zurich, the authors integrated storytelling videos into parent education for children aged 0 to 5 years with uncontrolled atopic dermatitis. The main defect in persons with atopy is skin barrier function. Atopic dermatitis appears after 2 weeks of age with a genetic susceptibility that is likely stimulated by environmental conditions. To reduce parents’ fears regarding use of topical corticosteroids, the authors performed a randomized controlled trial using educational storytelling videos prior to pediatric dermatologic consultation. The six videos were short, only 3 to 6 minutes in length, and showed scenarios of families like the clinic parent population. Using validated tools, the authors demonstrated a significant reduction in worries or beliefs about topical steroid use among parents who watched the videos. All patients had a pediatric dermatologic consultation, and this did not change the attitudes of the control group. The children’s quality of life and their atopic eczema severity did not vary between the groups, indicating the multicomponent management needs of this young atopic dermatitis population. Innovative patient education tools and video storytelling should be encouraged for other skin and wound conditions. Dr Stephen Sprigle’s US-based physiotherapy expertise is highlighted in our continuing education article this month. He explores connections between the biomechanics of posture and numerous wheelchair characteristics, highlighting the complexity of seating assessments and the need to examine several aspects of wheelchairs to ensure proper fit. For example, providers should consider the patient’s posture and relate it ergonomically to the pelvis and backrest; note that leaning on the backrest will tend to push the patient out of the chair; recognize that a slouched, kyphotic posture may require a seating correction; routinely palpate the coccyx in relation to the seat cushion; and confirm that the wheelchair components are appropriate (eg, seat width, depth, and height). This article identifies several additional needs for seating assessments to enhance comfort and prevent PIs. Remember, a cushion alone can not prevent a PI from a poorly fitted wheelchair! The third article investigated the relationship between COVID-19 and hospital-acquired PIs. Canadian authors Bourkas et al identified 489 potential articles and extracted 19 publications that met the inclusion criteria. The narrative synthesis identified a strong association between hospital-acquired PIs and men who were COVID-19 positive, had longer hospital stays, experienced prone positioning, and had care teams without a skin and wound care expert. The authors utilized a model from Dr Amit Gefen1 to explain some of the issues with prone positioning. These patients were in a prone position to maximize lung function and the tissue deformation from the positive airway pressure mechanical loading caused a loss of homeostasis and cell damage. In the model, Gefen describes the progression of cell death through a build up of interstitial pressure that is complicated by a loss of cytoskeletal integrity and increased permeability, culminating in occluded small blood vessels. This leads to hypoxia and low pH, linked to an accumulation of lactic acid. In the early days of the pandemic, comorbidities associated with COVID-19 infections and prone positioning increased PI risk. There was a high incidence of hospital-acquired PIs, often related to respiratory devices, especially ventilator-related breathing devices. However, we now have improved knowledge of treatments for acute COVID-19 complications and strategies to protect patients’ skin from respiratory devices. Professional organizations, including the National Pressure Injury Advisory Panel, contributed practice tips on how to protect most prone patients from PI. R. Gary Sibbald, MD, MEd, FRCPC, FAAD, JM Elizabeth A. Ayello, PhD, MS, RN, CWON, FAAN

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,019
Version: metacan-v3-hybrid-931329e0061cStatut 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: aucune
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,116

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,019
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0020,002
Communication savante0,0080,005
Science ouverte0,0020,007
Intégrité de la recherche0,0050,007
Charge utile insuffisante (le modèle a refusé de juger)0,0350,004

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 Opus0,007
Tête enseignante GPT0,439
Écart entre enseignants0,432 · 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 source (Gemma direct ou Codex distillé), 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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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