Evaluating patient characteristics and trends of avoidable emergency department visits: Informing community health services to reduce emergency department utilization
Notice bibliographique
Résumé
BackgroundThere is a growing debate on whether avoidable emergency department (ED) visits, those involving health issues that could have been managed in community settings, represent a significant workload for the department. Until recently an ED physician-validated measure of avoidable visits has not been available, hindering our understanding of these patients, services rendered in the ED and the nature of their conditions. We examined patient characteristics of ED visits retrospectively classified as avoidable and potentially avoidable at a Canadian academic hospital.MethodsWe conducted a retrospective cohort study using administrative ED data from an academic hospital in Hamilton, Canada from April 1, 2018 to August 31, 2023. We categorized all ED visits as avoidable, potentially avoidable, and not avoidable using the Emergency Department Avoidability Classification (EDAC). For each class, we analyzed patient characteristics and the top five physician interventions and diagnoses. We applied linear regression, locally weighted scatterplot smoothing (LOWESS) regression, and statistical process methods to examine monthly trends in avoidable and potentially avoidable visits. Additionally, we reported annual totals and length of stay for patients transported to the ED by paramedics.ResultsOverall, 58,528 (29.0%) of 201,741 ED visits were classified as either avoidable (11,302; 5.6%) or potentially avoidable (47,226; 23.4%). These patients were predominantly young-to-middle aged, with average visit durations of 3 hours 33 minutes (avoidable) and 4 hours 26 minutes (potentially avoidable). Their primary interventions were predominantly diagnostic imaging, skin repairs and mental health assessments. The proportion of ED visits in the study period that were avoidable increased from 2.1% to 7.7% and potentially avoidable from 18.2% to 21.2%. Approximately one-in-five paramedic transported patients were classified as having either an avoidable or potentially avoidable ED visit. Transported patients had an average length of stay of 4 hours 22 minutes for avoidable visits and 4 hours 35 minutes for potentially avoidable visits.ConclusionsA notable rise in the proportion of ED visits that could have been managed in non-ED settings was observed. Providing community clinicians with resources and capacity to manage and refer patients for diagnostic imaging, skin repairs and mental health assessments may reduce avoidable ED attendance. Further exploration of avoidable ED visits transported by paramedics could support refining ED diversion care models. Hospitals and health service policymakers could benefit from similar analyses using validated measures to identify care gaps that inform the development of new health services and models tailored to the specific needs of their communities.
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 | 0,003 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,003 |
| 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 | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 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 ».