Examining the Impacts of the COVID-19 Pandemic on Service Providers Working with Children and Youth with Neuro-developmental Disabilities and their Families: Results of a Focus Group Study
Bibliographic record
Abstract
The COVID-19 pandemic has imposed unprecedented service interruptions in many sectors including services for children and youth with neuro-developmental disabilities (NDD). We examined the experiences of service providers as they supported this population during the pandemic. Five focus groups were convened with 24 service providers offering support to children/youth with NDD and their families. Results highlight substantial service changes and challenges, as observed by service providers. Service closures and program delivery modification resulted in the rapid adoption of virtual services and reduced program delivery. Service providers have faced heightened workloads, personal weariness and 'burn out', and new levels of conflict at work, yet with little opportunity and support for self-care. Beyond challenges, new learning and growth have emerged, with heightened collaboration amongst organizations. Strains in service delivery during the pandemic have exposed programming and systems gaps, for which proactive capacity building is warranted and recommended.
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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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 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".