Partnership in employee health. A workplace health program for British Columbia Public Service Agency (Canada)
Bibliographic record
Abstract
OBJECTIVE: To evaluate the My Health Matters! (MHM) program, a multifaceted workplace intervention relying on education and awareness, early detection and disease management with a focus on risk factors for metabolic syndrome. PARTICIPANTS: The MHM program was offered to 2,000 public servants working in more than 30 worksites in British Columbia, Canada. METHODS: The MHM program included a health risk assessment combined with an opportunity to attend an on-site screening and face-to-face call back visits and related on-site educational programs. Clinical and economic outcomes were collected over time in this one-year prospective study coupled with administrative and survey data. RESULTS: Forty three per cent of employees (N=857) completed the online HRA and 23 per cent (N=447) attended the initial clinical visit with the nurse. Risk factors for metabolic syndrome were identified in more than half of those attending the clinical visit. The number of risk factors significantly decreased by 15 per cent over six months (N=141). The cost per employee completing the HRA was $205 while the cost per employee attending the initial clinical visit was $394. Eighty-two per cent of employees would recommend the program to other employers. CONCLUSIONS: This study supports that workplace interventions are feasible, sustainable and valued by employees. As such, this study provides a new framework for implementing and evaluating workplace interventions focussing on metabolic disorders.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 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) | 0.001 | 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".