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Enregistrement W2947447398 · doi:10.1093/pch/pxz066.109

110 Differences in Pediatric Visits to Emergency and Pediatric Emergency Departments are Linked to Socioeconomic Status

2019· article· en· W2947447398 sur OpenAlexaboutno aff
Quang Van Ngo, Monica Toma

Notice bibliographique

RevuePaediatrics & Child Health · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueEmergency and Acute Care Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineTriageSocioeconomic statusEmergency departmentSpecialtyPopulationMedical emergencyEmergency medicineFamily medicinePediatricsEnvironmental healthNursing

Résumé

récupéré en direct d'OpenAlex

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,016

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,015
Tête enseignante GPT0,295
Écart entre enseignants0,280 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2019
Routes d'admission1
Résumé présentoui

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