Adherence to treatment among hypertensive individuals in a rural population of North India
Bibliographic record
Abstract
Background: Hypertension affects nearly a quarter of adults in India. While there are issues related to diagnosis and treatment gap, even among those who received treatment, adherence is a problem resulting in poor control. Aim & Objective: To study the adherence to treatment of hypertension and its determinants among rural population Methods and Material: A community based cross-sectional study was carried out in twenty-eight villages in Ballabgarh block of Faridabad district of Haryana. Sample size of 300 was calculated. Adults (? 18 years) with self-reported hypertension were recruited by simple random sampling at community level. Adherence to treatment was studied by both recall and pill count methods. Information about socio-demographic characteristic was also obtained. Results: In total 350 participants were recruited in the study. Adherence (100%) by recall method was reported among 27.4% subjects and by pill count among 18.9% subjects. Symptom-free period was identified as most common reason for non-adherence. Statistically significant poor adherence to treatment of hypertension was reported among subjects belonging lower social strata. Conclusions: Very low adherence to hypertension treatment was reported in rural community in northern India. There is urgent need for awareness generation about treatment adherence and developing adherence-monitoring mechanisms at community level
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".