Impacts of the COVID-19 pandemic on health, financial worries, and perceived organizational support among people living with disabilities in Canada
Bibliographic record
Abstract
BACKGROUND: Individuals with physical or mental health disabilities may be particularly vulnerable to the impact of COVID-19 on their health and employment. OBJECTIVES: We examined COVID-19-related concerns for health, finances, and organizational support among workers with no disability, a physical, mental health, or both physical and mental health disability, and factors associated with COVID-19 perceptions. METHODS: An online, cross-sectional survey was administered to a sample of Canadians in the first wave of the COVID-19 pandemic. Questions asked about COVID-19 perceptions, demographics (gender, age, education), work context (e.g., sector, contract work) and employment conditions (e.g., job stress, control, accommodation needs). Descriptive, multivariable, and nested regression analyses examined factors associated with COVID-19 perceptions. RESULTS: A total of 3066 participants completed the survey. Workers with both a physical and mental health disability reported significantly greater health and financial concerns and less organizational support than those with no disability. Workers with a physical disability reported more health concerns and those with a mental health disability reported more financial concerns and less organizational support. Respondents with disabilities also reported significant differences in employment conditions (e.g., more contract work, stress, unmet accommodation needs) than those with no disability. Employment conditions were consistently significant predictors of COVID-19 perceptions and attenuated the significance of disability type in analyses. CONCLUSIONS: Concerns about the impact of COVID-19 on one's health, finances, and organizational support reflected existing disability inequities in employment conditions and highlight the importance of creating more inclusive employment opportunities for people living with physical and mental health disabilities.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 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".