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Record W2416641868

[Blood pressure measurement by primary care physicians: comparison with the standard method].

2000· article· ja· W2416641868 on OpenAlexaboutno aff
Y Asai, Ryuichi Kawamoto, Naoki Nago, Eiji Kajii

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageja
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBlood pressureSphygmomanometerCuffSittingAuscultationPrimary carePhysical therapyEmergency medicinePediatricsSurgeryCardiologyInternal medicineFamily medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECT: To examine the usual methods of blood pressure (BP) measurement by primary care physicians and to compare them with the standard methods. DESIGN: Cross-sectional survey by self-administered questionnaire. SUBJECTS: Primary care physicians who graduated from Jichi Medical School and were working at clinics. Each standard method for 20 items was defined as the one that was most frequently recommended by 6 guidelines (USA 3, UK 1, Canada 1, Japan 1) and a recent comprehensive review about BP measurement. RESULTS: Of 333 physicians, 190 (58%) responded (median age 33, range 26 to 45 years). Standard methods and percentages of physicians who follow them are: [BP measurement, 17 items] supported arm 96%; measurement to 2 mmHg 91%; sitting position 86%; mercury sphygmomanometer 83%; waiting > or = 1 minute between readings 58%; palpation to assess systolic BP before auscultation 57%; check accuracy of home BP monitor 56%; Korotkoff Phase V for diastolic BP 51%; bilateral measurements on initial visit 44%; small cuff available 41%; > or = 2 readings in patients with atrial fibrillation 38%; > or = 2 readings on one visit 20%; cuff deflation rate of 2 mmHg/pulse 14%; large cuff available 13%; check accuracy of monitor used for home visit 8%; waiting time > or = 5 minute 3%; readings from the arm with the higher BP 1%. [Knowledge about BP monitor, 2 items] appropriate size bladder: length 11%; width 11%. [Check of sphygmomanometer for leakage, inflate to 200 mmHg then close valve for 1 minute] leakage < 2 mmHg 6%; median 10 (range 0-200) mmHg. Average percentage of all 20 items was 39%. Number of methods physicians follow as standard: median 8 (range 4 to 15) and this number did not correlate with any background characteristics of the physicians. Furthermore, we also obtained information on methods not compared with the standard. Fifty-four percentage of physicians used more standard methods in deciding the start or change of treatment than in measuring BP of patients with good control. About 80% of physicians use home BP readings in diagnosis or treatment of hypertension, but about half of physicians with ambulatory BP monitors use their measured readings. CONCLUSION: Primary care physicians used various techniques for routine BP measurement and no physician completely followed the standard. Such measurements may affect the diagnosis and treatment of hypertension, but measuring all BPs solely by the standard is not practical. We need to have a practical and efficient method of BP measurement for routine practice in the primary care setting.

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 imitation

Not 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.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.067
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.067
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.033
GPT teacher head0.248
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2000
Admission routes1
Has abstractyes

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