110 Differences in Pediatric Visits to Emergency and Pediatric Emergency Departments are Linked to Socioeconomic Status
Notice bibliographique
Résumé
In large urban centers with tertiary level hospital systems, families have the choice to bring their children to pediatric emergency departments (PEDs) or general emergency departments (GEDs). Many factors influence this decision, including the availability of specialty care and geographic convenience. However, barriers to accessing care, such as cost of transportation, lack of primary care and lower education may disproportionately affect those of lower socioeconomic status (SES), which further disadvantages a population that experiences poorer health outcomes as a result. Planning and delivery of pediatric acute care should be informed by how low SES families use emergency care but this is still unknown. The primary objective of this study was to determine if there were differences between pediatrics patients that visited a pediatric emergency department (PED) versus a general emergency department (GED), when both were available in the same city. It was hypothesized that pediatric patients with lower socioeconomic status would be less likely to access pediatric emergency care, instead prioritizing geographic convenience. A retrospective chart review was conducted of all pediatric visits to general emergency departments (GEDs) in a large tertiary level hospital system which included a pediatric emergency department (PED). A period of 6 months from January to June, 2015 was chosen in order to capture the seasonal variation of pediatric visits. A randomly sampled population of comparable visits to the local PED was then used to compare key demographic and medical characteristics, including age and gender, postal code, acuity at presentation (as measured by the Canadian Triage and Acuity Scale), chief complaints and time of registration. Postal code data was gathered in order to determine socioeconomic status, which had been determined prior in a local study examining geographic distribution of poverty in the city. A total of 4053 pediatric visits were documented to the 3 urban GEDs over the 6 month study period. A random sample of the same number of patients that visited the PED over the same study period was used as a comparator. When compared to children going to GEDs, children at the PED were more likely to be younger in age. Infants under the age of 1 year made up 29% of PED visits, compared to 10.7%/8.9%/11.1% at the other 3 sites. This trend was similar in children aged 2–4. Children represented a smaller proportion of overnight visits in the PED when compared to children visiting the GED (9.4% vs. 15.5%/12.8%/14.5%). Acuity, as measured by the Canadian Triage and Acuity Scale (CTAS), differed only at the downtown GED when compared with the PED (CTAS 1 1.7% vs. 0.6%). Types of chief complaints appeared to be equally represented across all GEDs and the PED. When postal codes were mapped to locations of hospitals, it appeared that GEDs tended to draw from their immediate local vicinity, whereas the PED showed a much more distributed patient base. This data also suggests that higher SES families present to the PED whereas lower SES patients stay at their local hospitals. Children presenting to the PED tended to be younger, represent a potential perception that young children require specialty care. The trend of the most acutely ill patients being overly represented at the downtown GED may relate to this population being of low SES with poorer health outcomes. The PED catchment area appears to correlate with higher SES populations, which may be related to access to transportation or awareness of specialist availability. These findings have implications for planning and delivery of pediatric acute care.
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 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».