Hypertension, knowledge, attitudes, and practices of primary care physicians in Ulaanbaatar, Mongolia
Bibliographic record
Abstract
We examined the knowledge, attitudes, and practices of primary care doctors in Ulaanbaatar, Mongolia using a recently developed World Hypertension League survey. The survey was administered as part of a quality assurance initiative to enhance hypertension control. A total of 577 surveys were distributed and 467 were completed (81% response rate). The respondents had an average age of 35 years and 90.1% were female. Knowledge of hypertension epidemiology was low (13.5% of questions answered correctly); 31% of clinical practice questions had correct answers and confidence in performing specific tasks to improve hypertension control had 63.2% "desirable/correct" answers. Primary care doctors mostly had a positive attitude toward hypertension management (76.5% desirable/correct answers) and highly prioritized hypertension management activities (85.7% desirable/correct answers). Some important highlights included the majority (> 80%) overestimating hypertension awareness, treatment, and control rates; 78.2% used aneroid blood pressure manometers; 15% systematically screened adults for hypertension in their clinics; 21.8% reported 2 or more drugs were required to control hypertension in most people; and 16.1% reported most people could be controlled by lifestyle changes alone. 55% of respondents were not comfortable prescribing more than 1 or 2 antihypertensive drugs in a patient and the percentage of desirable/correct responses to treating various high-risk patients was low. Most (53%-74%) supported task shifting to nonphysician health care providers except for drug prescribing, which only 13.9% supported. A hypertension clinical education program is currently being designed based on the specific needs identified in the survey.
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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 | 0.001 | 0.002 |
| 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".