Comparison of blood pressure measurements using an automated blood pressure device in community pharmacies and family physicians' offices: a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Accurate measurement of blood pressure is the foundation of appropriate diagnosis, treatment and ongoing management of hypertension. The use of automated blood pressure devices in community settings such as pharmacies provide opportunities for additional blood pressure measurement; however, it is important to ensure that these measurements are comparable to those taken in physicians' offices using the same devices. We conducted a randomized controlled trial to assess whether blood pressure readings assessed by use of an automated device differed according to the setting, specifically in community pharmacies and family physicians' offices. METHODS: We included adults aged 65 years and older who did not live in long-term care facilities or in hospital. The trial was administered by volunteer peer health educators, family physicians and pharmacists in 2 midsized communities in Ontario from April to September 2010. The 5 participating family physicians mailed invitations to their eligible patients. Those who gave informed consent were randomly allocated to 1 of 2 assessment sequences: group A had their blood pressure measured at their physician's office, then at a pharmacy, then again at their physician's office; those in group B had their blood pressure measured at a pharmacy, then at their physician's office, then again at a pharmacy. An automated blood pressure device (BpTRU) was used in both settings. We calculated the differences in mean systolic and diastolic blood pressure, and we compared the readings at both settings and by sequence of assessment. RESULTS: In total, 275 adults completed the trial (mean age 75.9 yr, 49.5% male, 46.9% with a self-reported diagnosis of hypertension). There were no statistically significant differences in systolic or diastolic blood pressure measurements associated with the sequence of assessment or the setting. There was a significant difference in the overall mean systolic blood pressure between the 2 assessment sequences (group A 122.0 v. group B 127.8 mm Hg, p < 0.001). INTERPRETATION: Automated devices used in pharmacies to measure blood pressure provide accurate and valid information that can be used in the diagnosis and management of hypertension among older adults in the community. TRIAL REGISTRATION: www.controlled-trials.com, no. ISRCTN91799042.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".