Safety and Health through Integrated, Facilitated Teams (SHIFT): stepped-wedge protocol for prospective, mixed-methods evaluation of the Healthy Workplace Participatory Program
Bibliographic record
Abstract
BACKGROUND: Healthcare facilities are notorious for occupational health and safety problems. Multi-level interventions are needed to address interacting exposures and their overlapping origins in work organization features. Worker participation in problem identification and resolution is essential. This study evaluates the CPH-NEW Healthy Workplace Participatory Program (HWPP), a Total Worker Health® protocol to develop effective employee teams for worker safety, health, and wellbeing. METHODS: Six public sector, unionized healthcare facilities are enrolled, in three pairs, matched by agency. The unit of intervention is a workplace health and safety committee, adapted here to a joint labor-management "Design Team" (DT). The DT conducts root cause analyses, prioritizes problems, identifies feasible interventions in light of the constraints and needs of the specific setting, makes business-case presentations to facility leadership, and assists in evaluation. Following a stepped-wedge (cross-over) design, one site in each pair is randomly assigned to "immediate intervention" status, receiving the full coached intervention at baseline; in the "lagged intervention" site, coaching begins about half-way through the study. Program effectiveness and cost-effectiveness outcomes are assessed at both organizational (e.g., workers' compensation claim and absenteeism rates, perceived management support of safety) and individual levels (e.g., self-rated health, sleep quality, leisure-time exercise). Targeted pre-post analyses will also examine specific outcomes appropriate to the topics selected for intervention. Process evaluation outcomes include fidelity of the HWPP intervention, extent of individual DT member activity, expansion of committee scope to include employee well-being, program obstacles and opportunities in each setting, and sustainability (within the available time frame). DISCUSSION: This study aims for a quantitative evaluation of the HWPP over a time period long enough to accomplish multiple intervention cycles in each facility. The design seeks to achieve comparable study engagement and data quality between groups. We will also assess whether the HWPP might be further improved to meet the needs of U.S. public sector healthcare institutions. Potential challenges include difficulty in pooling data across study sites if Design Teams select different intervention topics, and follow-up periods too short for change to be observed. TRIAL REGISTRATION: ClinicalTrials.gov NCT04251429 (retrospectively registered January 29, 2020), protocol version 1.
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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 | 0.044 | 0.026 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.036 | 0.007 |
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".