33 Use of CHU Ste. Justine online resources prior to visiting the Emergency Department for less-urgent, acute febrile illness
Notice bibliographique
Résumé
Abstract Background Over the past 20 years, visits to paediatric emergency departments (EDs) across Canada have steadily increased, with a higher proportion of presentations for lower acuity symptoms. Many paediatric institutions’ websites now provide information and recommendations for caregivers on common illnesses and reasons for seeing healthcare providers or going to the ED. Increasing the use of internet resources may improve health literacy and hopefully decrease ED use for lower acuity presentations like uncomplicated viral illness. Objectives The objective of this study was to assess whether caregivers presenting with children with lower acuity at triage were aware of and using the online resources provided by our paediatric institution to help with at-home management of febrile illnesses and to guide their decision to present to the ED. Design/Methods This was a cross-sectional study in a tertiary care university-affiliated paediatric ED in an urban setting. Participants were a convenience sample of caregivers of children 6 months to 17 years old with a fever 72 hours or less and triaged low acuity (Canadian Triage and Acuity Scale levels 3 to 5). Caregivers of children with underlying significant systemic illness were excluded. Consenting participants completed two questionnaires. The first questionnaire included demographic data, information on baseline internet utilisation, use of general online health information and our institutions’ website specifically, and whether use of those resources influenced their decision to present to the ED. After browsing dedicated web materials developed by our institution (“Before going to the emergency room” and “Fever”), questionnaire 2 asked for feedback on the website. Results From April to July 2023, 100 caregivers participated in the study (response rates questionnaires 1 and 2: 80% and 70%, respectively) (Table 1). Half (49%) of caregivers researched their child’s symptoms prior to coming to the ED (Table 2). Approximately one third (39%) of respondents were aware that our institution provided online information for caregivers about common symptoms and when to present to the ED. Half (51%) of caregivers who completed questionnaire 2 said they would not have come to the ED if they had read these resources prior (Table 3). Many (66%) respondents reported they would be “likely/very likely” to look up their child’s symptoms on the institutional website before going to the ED in the future. Conclusion Half of caregivers presenting to the ED for their child’s lower-acuity febrile illness conducted research on their child’s symptoms prior to visiting the ED and most were influenced in their decision to come to ED by what they found. Most caregivers were not aware that our institution had online resources available. Promotion of the institutional resources available to parents may empower parents to manage common symptoms at home and prevent ED visits for lower-acuity illness.
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 | 0,000 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,021 | 0,001 |
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 ».