Hypertension in Russia: Changes Observed After 4 Years of a Comprehensive Health System Improvement Program in the Yaroslavl Region
Bibliographic record
Abstract
Rates of cardiovascular mortality and morbidity in Russia have been among the highest in Europe. A comprehensive health system improvement program targeting better diagnosis and control of hypertension was undertaken in the Yaroslavl Region of Russia. This initiative was a joint program between clinicians, the Department of Health and Pharmacy of the Yaroslavl Region, and Novartis Pharma LLC. From 2011 to 2014, the blood pressure control rate improved substantially (94% relative improvement), the percentage of patients with a systolic blood pressure ≥180 mm Hg decreased (from 10% to 5%), and there was a reduction in stroke incidence rate from 4.6 to 3.7 per 1000 population. During this same period, significant changes were made to the way hypertension was diagnosed and treated across all regional government polyclinics, and the use of antihypertensive therapies increased.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".