Implementing a collaborative return-to-work program: Lessons from a qualitative study in a large Canadian healthcare organization
Bibliographic record
Abstract
BACKGROUND: Comprehensive workplace return-to-work policies, applied with consistency, can reduce length of time out of work and the risk of long-term disability. This paper reports on the findings from a qualitative study exploring managers' and return-to-work-coordinators' views on the implementation of their organization's new return-to-work program. OBJECTIVES: To provide practical guidance to organizations in designing and implementing return-to-work programs for their employees. METHODS: Semi-structured qualitative interviews were undertaken with 20 managers and 10 return-to-work co-ordinators to describe participants' perspectives on the progress of program implementation in the first 18 months of adoption. The study was based in a large healthcare organization in Ontario, Canada. Thematic analysis of the data was conducted. RESULTS: We identified tensions evident in the early implementation phase of the organization's return-to-work program. These tensions were attributed to uncertainties concerning roles and responsibilities and to circumstances where objectives or principles appeared to be in conflict. CONCLUSIONS: The implementation of a comprehensive and collaborative return-to-work program is a complex challenge. The findings described in this paper may provide helpful guidance for organizations embarking on the development and implementation of a return-to-work program.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 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".