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Record W2052241128 · doi:10.3122/jabfm.2013.02.120024

Self-Reported Physician Adherence to Guidelines for Measuring Blood Pressure

2013· article· en· W2052241128 on OpenAlexaffabout
Robert C. Dickson, Kathryn Gaebel, Angelo Zizzo, Ieva Neimanis, M. Bridge, John Corsini, Claudia Goebel, Richard Levy, Anne Woods

Bibliographic record

VenueThe Journal of the American Board of Family Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsSt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsMedicineBlood pressureFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Diagnosis of hypertension, treatment, and follow-up depend on accurate measurement. This research study attempted to determine whether family physicians are all measuring blood pressure (BP) according to Canadian guidelines. METHODS: A short survey was mailed to all physicians within the Department of Family Medicine, St. Joseph's Healthcare, Hamilton, Ontario, Canada. RESULTS: Fifty-one percent of the surveys were completed and returned. Eleven of the recommendations were followed "always or most of the time." BP is measured manually by 63% of the respondents, and the most frequent barrier to following the recommendations was time. CONCLUSION: The results of the survey indicated that measurement of BP according to Canadian Hypertension Education Program recommendations was felt to be important and conducted in most cases, but there is room for improvement.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.143
GPT teacher head0.355
Teacher spread0.211 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations17
Published2013
Admission routes2
Has abstractyes

Explore more

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