Community Hypertension Programs in the Age of Mobile Technology and Social Media
Bibliographic record
Abstract
See ARTICLE page 1061. Community programs for the prevention of cardiovascular disease have generally succeeded in lowering blood pressure (BP) and improving cardiovascular health in the general population.1,2 They have also met the challenge of raising awareness, increasing knowledge, and promoting changes in health behavior.3 Moreover, they have likely contributed to the improved rates of BP control among hypertensive patients in North America over the past 2 decades.4–7 Successful population-based interventions combined the power of mass media and other communication tools with screening and counselling activities.1–3,8 These targeted BP programs were firmly rooted in sound scientific evidence that interventions to lower BP improve health outcomes.9 The study by Salazar et al. adds another dimension to population-based programs by highlighting the importance of sustained public health activity to maintain good BP control. These investigators demonstrated that individuals whose BP rose during the community intervention were at higher risk of developing a cardiovascular event.10
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".