Variation in parental experiences with their child’s hospitalization over the COVID-19 pandemic
Notice bibliographique
Résumé
BACKGROUND: Hospitals and healthcare workers have been greatly impacted by the COVID-19 pandemic. The potential impacts upon the patient experience have been less documented, particularly in the pediatric setting. Our aim was to examine how parental experiences with their child's hospitalization varied during the COVID-19 pandemic at two children's hospitals in Alberta, Canada. METHODS: A random sample of parents were surveyed within six weeks of their child's discharge from Alberta's two children's hospitals. Surveys were administered using the Alberta Pediatric Inpatient Experiences Survey (APIES) - a validated instrument used to assess parental experiences during their child's hospitalization. Surveys were linked with administrative inpatient records. Three cohorts were created based on hospital discharge date: Pre-COVID (Pre: April 2019 to March 2020), COVID year one (C1: April 2020 to March 2021), and COVID year two (C2: April 2021 to March 2022). We examined 48 survey questions, including four overall rating scales. Survey responses were Likert scales. These were transformed to normalized scores from 0 (worst) to 100 (best). Differences between cohorts were assessed using ANOVA and the post-hoc Tukey test. RESULTS: A total of 3,611 surveys (1,314 Pre; 997 C1; 1,300 C2) were completed over the three-year period. Five questions showed differences between the Pre and C1 periods, six showed differences between Pre and C2, and 13 showed differences between C1 and C2. Among these questions, scores pre-COVID were lower than COVID year one, while results in COVID year two were lower than pre-COVID and COVID year one. Thirty-one survey questions showed no statistical differences between the three time periods. For the overall ratings, only hospital rating showed a difference in any of the periods (91.4 C1 vs. 90.2 C2). Overall ratings of doctors, nurses, and recommendation of the hospital to others showed no differences. CONCLUSION: This study showed that the experiences of parents during the first year of the COVID-19 pandemic were mildly better or comparable to historical results. This changed over the following year, where lower scores were reported on 13 questions.
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 | 0,005 |
| 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 | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| 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 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 ».