Hypertension Prevalence, Health Service Utilization, and Participant Satisfaction: Findings From a Pilot Randomized Controlled Trial in Aged Chinese Canadians
Bibliographic record
Abstract
Responding to high prevalence of hypertension and patients' preference of integrating traditional Chinese medicine for blood pressure control, the Dietary Approach to Stop Hypertension With Sodium Reduction for Chinese Canadian (DASHNa-CC) intervention was newly designed as a culturally sensitive dietary educational intervention to facilitate middle-aged and senior Chinese Canadians' blood pressure control in community. The aim of this study was to report the hypertension prevalence rate according to the data from blood pressure screening events, to describe the characteristics of health service utilization among aged Chinese Canadians, and to report the evaluation of participant satisfaction to the DASHNa-CC intervention. This study was designed as a pilot randomized controlled trial with a sample size of 60. Among 618 Chinese Canadians participated in blood pressure screening events, 54.5% (n = 337) having various levels of hypertension. Across 2 months, 38 (63.3%) participants made a total of 47 visits to see their family physicians; 20 (33.3%) participants consulted their family members 224 times for lifestyle modifications and hypertension self-management. Various forms of Chinese media were frequently used as sources of health care information, and English media were rarely accessed. Participants highly satisfied with the contents, delivery approaches, and integration of traditional Chinese medicine in the intervention. Results indicated that middle-aged and senior Chinese Canadians have high hypertension prevalence and specific characteristics of health service utilization. It is important to implement interventions, which are culturally tailored, language appropriate, using proper technology and incorporating traditional Chinese medicine, in Chinese Canadian community for hypertension control.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".