Implementation of a community‐based hypertension control program in Matanzas, Cuba
Bibliographic record
Abstract
Increased blood pressure is a leading risk factor for death worldwide, and improving the control of hypertension is a major health goal to reduce non-communicable disease. Thus, in 2016, as part of a regional effort between the Pan American Health Organization and Cuban Ministry of Public Health to reduce cardiovascular risk and disease, a community demonstration project was implemented to enhance hypertension control. The intervention project was in a population of 25 868 people served by the Carlos Verdugo Martínez Polyclinic in Matanzas, Cuba. The project implemented interventions currently recommended in the World Health Organization HEARTS modules, including a standardized clinical training program with certification for blood pressure measurement, routine screening for hypertension in clinics and in the community, a simple directive pharmacologic treatment algorithm, and a registry with performance reporting and feedback. Qualitative and quantitative program monitoring and evaluation was established. In a 2010 national survey, the prevalence of hypertension and the rate of hypertension control were estimated to be 31% and 36%, respectively. Following less than one year of the full implementation of the program, the prevalence of hypertension, proportion of the hypertensive population registered as having hypertension, proportion of those drug-treated who were controlled, and estimated population rate of control were 30%, 90%, 68%, and 58%, respectively. Based on these positive results, the program has been expanded to include another demonstration program initiated in a second region. In addition, preliminary efforts to disseminate and scale-up aspects of the program to the full Cuban population have started.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".