Overview of blood pressure measurement by Brazilian health professionals
Bibliographic record
Abstract
Although automated monitors for blood pressure (BP) measurement are used increasingly worldwide, understanding of how such devices are used in Brazil is low. This study analyzed the status of BP measurement by Brazilian health professionals. A questionnaire regarding experience with BP measurement was sent electronically to Brazilian nurses, nursing assistants, and doctors. It had 2004 responses. Previous experience with use of automated monitors was most frequent in men (71.2%), nursing technicians (65.5%), specialists (61.1%), secondary care (71.9%), emergency care (70.6%), or the private sector (66.3%). The least complied aspects of the standardized measurement protocol were availability of various cuff sizes (53.9% and 72.9% for auscultatory and oscillometric methods, respectively) and proper calibration checks (21.5% and 46.8% for auscultatory and oscillometric methods, respectively). Brazilian health professionals report not adequately performing all the necessary aspects to measure BP in accordance with the standardized protocol in both methods, but mainly regarding the oscillometric.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".