625 The Impact of COVID-19 on Burn Care at a Regional Burn Center
Notice bibliographique
Résumé
Abstract Introduction The COVID-19 pandemic has had a profound global impact, not least on hospital functioning. Institutions have all had to prepare and adapt to a large number of admissions, and the influence on elective and emergency surgical services, including burn care, has been significant; it may be some time before we know the full extent of this. While many centers were able to commence more normal activities for a while, we are now seeing an exponential rise in cases again, with potentially catastrophic consequences for the provision of burn care. Methods A review of all admissions, operative cases and clinic visits between 1 April and 31 August 2020 was undertaken at an American Burn Association verified burn center. These data were compared with the same five-month period in the preceding two years. Results Selected data highlights are tabulated (Table 1). During the five months in question, fewer patients were admitted than the previous two years (N=81 versus 121). The mean total body surface area was slightly higher this year (13.7%), and the mean length of hospital stay longer (18 days). The male-to-female ratio of admitted patients was greater during the five months of 2020, at 2.9:1, compared to 1.7:1. No significant differences in terms of etiology were detected, however. As expected, clinic visits reduced dramatically from a mean of 160 patient visits per month to just 81 per month, with the majority conducted virtually. During 2020 the operative cases were similar in number to previous years (N=176), but the mean duration was significantly longer (190 minutes). The total time utilised for burn surgery was similar to previous years (572 hours). Table 1. Selected burn center data comparing 2020 with 2019 and 2018. Conclusions This study demonstrates that although total admissions were slightly reduced, the demands on Burn ICU bed resources and burn operating time were similar. The data supports the notion that removing scheduled operating time for our service resulted in less efficient execution of acute burn surgeries and longer hospital stays. Although formal clinic visits were significantly reduced and were mainly conducted virtually, several patients were satisfied by a novel and user-friendly email service conducted by our clinic nurse specialist.
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 | 0,001 | 0,004 |
| 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 | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
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 ».