Understanding Barriers to Mental Health Supports During the Pandemic for Workers in Intellectual Disability Services
Bibliographic record
Abstract
BACKGROUND: Workers in the intellectual disability sector encounter significant work-related stress impacting their mental health. This study explores the barriers faced by these workers when accessing mental health support during the pandemic. METHODS: 1831 surveys were completed by intellectual disability support workers from Ontario, Canada between 2021 and 2023. This is a secondary analysis of questions focused on barriers to accessing mental health services. RESULTS: On average, 45% of workers reported experiencing barriers to accessing mental health support each year. The cost of services and lack of time were consistently identified as barriers. Workers reporting barriers were more likely to be younger, have less than 10 years of sector-specific experience, and report significant mental distress. CONCLUSION: Sector-wide efforts to reduce barriers and improve the mental health of workers are critical to promote the wellbeing of the workforce and to support high-quality care for people with intellectual disabilities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".