Engaging families to create a better post-pandemic future: semi-structured interviews with youth and parents in Canada
Notice bibliographique
Résumé
BACKGROUND: International reports highlight important impacts of the COVID-19 pandemic on the wellbeing of youth. There is limited knowledge of the experiences and perspectives of youth, and their parents during the COVID-19 pandemic. Examining these experiences can help us identify existing gaps in support and which policy adjustments, resources, and programs are needed to enhance the wellbeing of youth and families in the aftermath of the pandemic. METHODS: In this qualitative descriptive study Canadian youth (11-18year) and their parents (≥ 18year) who participated in a previous national survey looking at public perceptions of the COVID-19 pandemic, were invited to participate. Youth and their parents across all ten Canadian provinces were interviewed separately between June and September 2022. Interview guides were developed and refined iteratively with experts on child development along with youth and parent partners. Responses we coded inductively and a qualitative descriptive analysis was performed. We conducted and reported this study according to the Consolidated Criteria for Reporting Qualitative Research checklist. RESULTS: We interviewed 14 youth-parent dyads (28 interviews). Most participants identified as Black, Indigenous, or persons of colour (18/ 28, 64%) and as cis-gender women/girls (15/28, 54%); the median ages were 14 (interquartile range (IQR) 12-16) and 46 (IQR 40-50), for youth and parents respectively. All parents (14/14, 100%) were married. We generated four topic summaries in the data, relevant to youth and family wellbeing throughout the COVID-19 pandemic and in the post-pandemic period: (1) connectedness (a sense of being cared for and supported), (2) motivation and drive (activating and sustaining behaviour toward a goal despite difficulties), (3) mental health (including emotional, psychological, and social wellbeing, develop fulfilling relationships, and adapting to change) and (4) coping mechanisms (strategies used to adjust to stressful events to help maintain overall wellbeing). Findings highlight negative impacts of increased isolation associated with COVID-19 pandemic and their interconnectedness. Results underscore the importance of employing integrated policies that address these complex challenges while informing the tailoring of existing policies, resources, and programs to better support and improve the well-being of youth and families as they navigate the ongoing impacts of the pandemic. CONCLUSIONS: Canadian youth and parents in our sample provided detailed descriptions on how the COVID-19 pandemic impacted their wellbeing and the strategies they used to reduce these impacts as much as possible. There is a need for support both at-home and in-school, emphasizing the importance of having a range of programs that address challenges across all facets of youths' lives.
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 | 0,009 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,019 | 0,006 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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 ».