Engaging families to create a better post-pandemic future: semi-structured interviews with youth and parents in Canada
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".