Blood Pressure Success Zone: You Auto Know A Worksite-Based Program to Improve Blood Pressure Control Among Auto Workers
Bibliographic record
Abstract
Worksite-based wellness programs can be a means to improve employee health awareness and potentially reduce health care costs. The "BP Success Zone: You Auto Know" program was a worksite-based intervention to reduce the incidence of hypertension among auto workers at Chrysler LLC. This 6-month program comprised an intervention consisting of education, awareness, and support intended to intensify the engagement of Chrysler employees at moderate-to-high cardiovascular risk who were not adequately controlling their blood pressure. The 539 participants had systolic blood pressure of ≥ 120 mmHg, diastolic blood pressure of ≥ 80 mmHg, or were told by a health care provider that they had hypertension. Questionnaires compared awareness and knowledge of hypertension and lifestyle choices before and at the end of the intervention. After the 6-month intervention, mean systolic blood pressure had decreased from a baseline value of 133 mmHg to 129 mmHg (P < 0.0001) and mean blood diastolic pressure had decreased from 85 mmHg to 82 mmHg (P < 0.0001). The proportion of participants with controlled blood pressure increased from 52% to 62% (P < 0.0001) over the course of the intervention. Eighty-six percent of the participants reported that the program helped them to better understand and control their blood pressure and 84% reported that they had a better understanding of their treatment options. In conclusion, a program of hypertension awareness, education, and lifestyle modification helped to improve blood pressure control among a group of Chrysler LLC employees.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".