R3 (Resident Advocacy Project) Evaluation of a Novel COVID-19 Vaccine Consult Service
Notice bibliographique
Résumé
Abstract Rationale and Objectives Strengthening confidence in COVID-19 vaccination in the paediatric population promotes more children getting vaccinated, leading to fewer COVID-19 illnesses, hospitalizations and deaths. Paediatric providers play an important role in promoting dialogue on the risks and benefits of the COVID-19 vaccines for children. Caregivers who experience hesitancy toward the vaccines may lack access to quality medical information. Developed to close this gap, the SickKids COVID-19 Vaccine Consult Service (VCS) is a nurse-led, telephone consultation service for residents of Ontario with questions/concerns about COVID-19 vaccination for children. The VCS aims to address vaccine hesitancy and enhance vaccine uptake, and ensures that children and caregivers have equitable access to timely and reliable information regarding COVID-19 vaccines in a safe and judgement-free environment. The VCS has escalation pathways in place should further discussion with a physician be required. Appointments can be booked without a referral and discussions are held by telephone. The VCS supports families whose children require specialized accommodation for vaccination with appointments at SickKids and throughout Ontario. Project Description A retrospective review of telephone consults received by the VCS between October 1, 2021- April 1, 2022 was undertaken to evaluate the service utilizing descriptive methodology. Information was extracted from databases stored in RedCap/EPIC and was maintained by staff conducting the calls. Inductive Thematic Analysis was utilized to analyze qualitative data and codes were generated to inform themes. Feedback formation was collected via exit surveys and included details about who was calling, reasons for calling, if concerns had been addressed, and intention to vaccinate. Outcomes Parents were the majority of callers (96%) and 4% were patients themselves, grandparents or other. A total of 99% of the calls included general questions about the vaccine, 36% of calls were questions about children with underlying medical conditions (cardiac conditions being the most common), and 12% were allergy-related questions. 9% of calls required a consult with MD/NP. 83% of questions/concerns were resolved following the call. Further, the majority of those surveyed following the appointment expressed intent for vaccination. Safety and development, side effects, and doses/intervals were the most common reason callers described hesitancy with proceeding with vaccination. Discussion/Future Directions Providing caregivers with timely and reliable information regarding COVID-19 vaccines through the VCS has proven to be effective in reducing vaccine hesitancy and increasing vaccine uptake in the paediatric community. In the future, the VCS model can be utilized to provide education to caregivers on other routine childhood vaccines.
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 | 0,036 | 0,048 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,002 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,003 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 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 ».