The Impact of the Canadian Hypertension Education Program on Antihypertensive Prescribing Trends
Bibliographic record
Abstract
Although previous studies have shown that hypertension management has improved in Canada during the past decade, this study was designed to determine whether these changes were temporally related to initiation of the Canadian Hypertension Education Program in 1999. Antihypertensive prescription rates in Ontario were compared using time series analyses before and after 1999 in 2 Ontario cohorts: all hypertensives prescribed therapy (using the Intercontinental Medical Statistics CompuScript Database) and all elderly hypertensives without diabetes prescribed therapy (using linked administrative databases including the Ontario Drug Benefit Database). Between January 1998 and December 2003, &280 million prescriptions for antihypertensive agents were filled in Ontario, and total antihypertensive prescriptions increased by 58% annually; time series analyses confirmed that the prescribing rates for total antihypertensives, thiazide diuretics, beta-blockers, and calcium channel blockers increased significantly after 1999, even after adjustment for the temporal trends in the pre-1999 data. In the 166,018 nondiabetic individuals over age 65 who were newly treated for hypertension in Ontario between July 1994 and March 2002, changes in prescription rates for total antihypertensive drugs, angiotensin-converting enzyme inhibitors, beta blockers, and calcium channel blockers occurred in directions that were consistent with guideline recommendations and were statistically significantly related to the initiation of the Canadian Hypertension Education Program. The substantial changes in prescription rates for guideline-recommended antihypertensive drug classes in elderly Ontarians without diabetes and the general Ontario population seen in the past decade are temporally related to the initiation of the Canadian Hypertension Education Program.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".