Impacts of the COVID-19 pandemic on health and social professionals working with people with disabilities: A qualitative study
Bibliographic record
Abstract
BACKGROUND: Since the beginning of the COVID-19 pandemic, protection and isolation measures established by the Canadian and Quebec governments have directly affected the work of health and social professionals (HSPs). These measures have added pressure on HSPs, complexified their work and added tasks to their already busy workload. However, few studies have explored in depth the impacts of the pandemic on HSPs working with people with disabilities. OBJECTIVE: The objective of this study was to qualitatively explore the experiences of HSPs working among people with disabilities in the province of Quebec, Canada, during the COVID-19 pandemic (January and February 2021), including the impact on their work, the relationships with their colleagues, and on their immediate social and familial environment. METHODS: HSPs participated in a semi-structured interview. A mixed thematic analysis approach, combining inductive and deductive coding, was carried out using N'Vivo 12. RESULTS: Fifty-five HSPs participated in the interviews (mean [SD] age, 42 [9]). They mostly identified as women (91%). Three main themes representing the impacts of the pandemic were identified, including 1) Health and Well-being; 2) Family and social networks including the subthemes; 2.1) Fear of being a vector of contamination for their loved ones; 2.2) Work-family balance; 2.3) Social Network, and finally 3) Work, highlighting, including 3.1) Workload and adaptative strategies developed; 3.2) Relationship with colleagues; 3.3) Perceived support received at work, and 3.4) Services offered to patients. CONCLUSIONS: These findings highlight the importance of closely tracking and supporting the well-being of HSPs.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".