Engaging health care workers in improving their work environment
Bibliographic record
Abstract
AIM: This study describes the perceptions of health care workers who were involved in a participatory approach for the reorganization of care and work, aimed at creating an optimum work environment. BACKGROUND: Quebec's health network has undertaken large-scale organizational changes to ensure the quality of health care and services for the population. METHOD: This participatory research was carried out by means of interviews. The sample consisted of 20 participants involved in the participatory approach for making changes to the organization of care and work in two pilot units. RESULTS: Four main perspectives emerged from the analysis: (1) views on the legitimacy of change, (2) commitment, indifference and resistance, (3) day-to-day concrete changes as signs of hope and (4) the elements of the success of the participatory approach. CONCLUSION: The management team's support and leadership and the participatory approach were significant factors in the success of the project.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".