ALCOHOL ATTENDANCE WITHIN THE EMERGENCY DEPARTMENT
Notice bibliographique
Résumé
Objectives & Background How much does alcohol contribute to the demands on the Emergency Department (ED)? York is a popular tourist destination, particularly amongst hen and stag parties. But a quarter of the resident population have previously been identified as higher risk drinkers. So therefore, how much does alcohol contribute to the pressures on York ED? Additionally, clinical coding of alcohol within the ED is anecdotally unreliable. How true is this? We therefore undertook an alcohol needs assessment within York ED looking at general demographics, reasons for attendance and evidence of alcohol linked to the attendance. We also looked at the discrepancy between how much the ED was paid for these patients by commissioners and the actual cost to the acute trust. Methods We randomly selected 1 week per quarter in 2011 and hand searched every ED record for evidence of alcohol-related attendance. We also included patients for whom it was felt alcohol was highly likely although not directly mentioned. We undertook a concordance assessment around the alcohol question and achieved 94%. Results The 4 randomly selected weeks amounted to a 5,704 patient sample, 7.2% of the total number of attendances in 2011. 9.8% of attendances were alcohol-related (553 patients) Between 21:00 and 09:00, this rose to 19.7% Alcohol was involved in 45% of mental health attendances The alcohol group was heavily over-represented in the patients removed by police (100%), refusing treatment (55%) and leaving prior to their treatment (41%) 10.3% of alcohol-related attendees remained in the ED for >4hours compared with 5.9% of non-alcohol-related attendees 62.8% of alcohol-related attendees were living within the City of York 18% of all ambulance journeys were due to alcohol Although 553 patients had evidence of alcohol in their attendance, it was only coded as such in 46 computer records If these figures are extrapolated to cover the annual patient population, the discrepancy between what the commissioners pay and the true cost of these patients is £552,431 Conclusion Alcohol poses a disproportionate burden on York Emergency Department and Yorkshire Ambulance Service. With pressures on staffing, the 4 hour standard and ambulance turnaround times at an all-time high, how different would the ED be if the alcohol burden were reduced? This needs assessment fuels the argument for an 'invest to save' attitude to reduce alcohol-related attendance.
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 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,020 | 0,002 |
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 ».