Personal Support Workers' Experience of Collaboration in a Long-Term Care Facility in Rural Ontario
Bibliographic record
Abstract
The growing complexity of healthcare needs of residents living in long-term care necessitates a high level of professional interdependence to deliver quality, individualized care. Personal support workers (PSWs) are the most likely to observe, interpret and respond to resident care plans, yet little is known about how they experience collaboration. This study aimed to describe PSWs’ current experiences with collaboration in long-term care and to understand the factors that influenced their involvement in collaboration. A qualitative approach was used to interview eight PSWs from one long-term care facility in rural Ontario. Thematic analysis revealed three themes: valuing PSWs’ contributions, organizational structure, and individual characteristics and relationships. Collaboration was a difficult process for PSWs who felt largely undervalued and excluded. To improve collaboration, management needs to provide opportunities for PSWs to contribute and support the development of relationships required to collaborate.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".