Socioeconomic status and recurrent emergency visits amongst chemotherapy patients.
Notice bibliographique
Résumé
106 Background: Multiple studies have found that cancer patients undergoing cytotoxic chemotherapy have a high rate of emergency department (ED) utilization throughout the course of their treatment and up to 20% of patients have recurrent ED visits. We assessed the effect of socioeconomic status (SES) on recurrent ED visits for infectious causes amongst chemotherapy patients. Methods: All patients who visited the Peel Regional Cancer Centre ED within 30 days of receiving cytotoxic chemotherapy between 04/12 - 3/13 were identified. Patients were included in the study if their primary reason for presentation was either fever or infection. Postal codes were cross-matched against 2011 census data from Statistics Canada to obtain estimates of income, education, and occupation. The impact of SES factors on the likelihood of multiple ED visits was analyzed. Results: 239 patients with at least 1 visit to the ED for infection were identified. Of these patients 103 (43.1%) had recurrent ED visits. Patients from areas with a higher proportion of arts, sports, culture, recreation, agriculture, and natural resources employment had a significantly (p<0.02) lower incidence of recurrent visits compared to single visits. Patients from areas with a lower proportion of healthcare, natural sciences, and applied sciences employment had a significantly (p<0.04) lower incidence of recurrent visits compared to single visits. Patients from areas with a greater proportion of people for whom the highest education completed was only high school had a significantly (p= 0.01) lower incidence of recurrent visits compared to single visits. Conclusions: Instead of observing a higher rate of ED visits for infection among patients with lower SES, patients residing in areas of lower education or in areas with a higher proportion of employment in fields associated with lower SES were less likely to have recurrent visits. It remains unclear if this represents decreased adherence to fever recommendations in patients with lower SES or over usage of ED services in patients with higher SES. Further studies are planned to better understand these observations to help inform educational interventions and community-based monitoring aimed at decreasing the risk of ED visits.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 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 tête enseignante, 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 ».