Implications of Inaccurate Blood Pressure Measurement on Hypertension Prevalence
Bibliographic record
Abstract
Background: The cornerstone of the management of hypertension is accurate measurement of blood pressure (BP). A recent study showed that more than one-half of home BP devices sold in Canada have no evidence of validation for accuracy. The purpose of this study was to model the implications of inaccurate BP measurements on diagnosis and control of hypertension. Methods: We used data from the Canadian Health Measures Survey to model the effects of inaccurate BP devices by 5 or 10 mm Hg over or under the true BP value. Hypertension was defined as BP ≥ 140/90 mm Hg (or ≥130/80 mm Hg in those patients with diabetes). Results: If both systolic and diastolic BP were overestimated by 10 mm Hg, the prevalence of hypertension would falsely increase by 50% to 63%, potentially leading to overtreatment of approximately 3.5 million Canadians. Conversely, the impact of underestimation of BP appeared minimal, but mostly because of design limitations of our study. Conclusions: We found that overestimation of BP by only 10 mm Hg could lead to overtreatment of up to 3.5 million Canadians. Government should mandate the validation of BP devices before they can be sold; until then, clinicians and patients should be cautious in their selection of BP devices, using the Hypertension Canada Recommended Device Program to guide selection.
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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) | 0.000 | 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 | 0.000 |
| 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".