Youth mental health and/or addiction concerns and service needs during the COVID-19 pandemic: a qualitative exploration of caregiver experiences and perspectives
Bibliographic record
Abstract
Abstract The COVID-19 pandemic has undoubtedly had a significant impact on youth mental health and/or addiction concerns and exacerbated pre-existing gaps in access to mental health and/or addiction care. Caregivers can support their youth in seeking and participating in care, however, their experiences in doing so in the pandemic and their perspectives of their youth’s care needs are not well-understood. A descriptive qualitative study was conducted to better understand youth’s and caregivers’ experiences accessing care during the pandemic, from the caregivers’ standpoint. Participants completed semi-structured qualitative interviews that focused on experiences seeking and accessing mental health and/or addiction services, with specific questions regarding their experiences accessing services during the pandemic. A total of 46 interviews were included in the thematic analysis of the data. Study findings highlight the impacts of the pandemic on everyday life, on youth mental health and/or addiction needs, on caregiver’s experiences seeking and accessing services for their youth, and on service access, including perceptions of virtual care modalities. The discussion highlights the importance of focusing on factors that enable youth’s participation in care, to ensure accessibility of appropriate and timely care that meets youth’s and families’ needs. Also highlighted is the frustration and despair experienced by caregivers seeking critical mental health and addictions supports for their youth during the pandemic, as well as the sense of isolation and of being left behind by the system. Identifying caregiver perspectives of youth mental health and addiction needs and service access during the COVID-19 pandemic provided important insights that can help inform approaches to youth mental health and addictions care during the pandemic and beyond.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| 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".