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Record W4387409163 · doi:10.1016/j.cjco.2023.10.001

Validity of Home Blood Pressure Devices Sold in Canada

2023· article· en· W4387409163 on OpenAlexaffabout
Jonathan C.H. Chan, Ian Vandermeer, Dean S. Picone, Ross T. Tsuyuki

Bibliographic record

VenueCJC Open · 2023
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBlood pressureMedicinePharmacyMedical emergencyFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

Background: Measurement of home blood pressure is an important tool for the management of hypertension. However, the validity of home devices is of concern. The Recommended Blood Pressure Devices Program of Hypertension Canada reviews and recommends blood pressure devices using international validation standards. We sought to determine the proportion of Hypertension Canada-recommended devices available for purchase in pharmacies and online. Methods: We visited 16 community pharmacies in the Edmonton area to record the blood pressure devices they sold. We also reviewed the 50 most popular devices from online retailers (Amazon, Walmart, Best Buy, and Canadian Tire). All devices were referenced against the Recommended Blood Pressure Device Program of Hypertension Canada (www.hypertension.ca/bpdevices) to determine if the models were recommended. Results: < 0.001. Conclusions: Most blood pressure devices sold in pharmacies are Hypertension Canada recommended, in contrast to less than one-half from online retailers. The lack of validation of many home blood pressure devices could have important clinical implications, leading to over- or undertreatment of hypertension. Clinicians should advise patients on the importance of home blood pressure device validation and direct them to resources such as Hypertension Canada (https://hypertension.ca/public/recommended-devices) for guidance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.119
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.067
GPT teacher head0.301
Teacher spread0.234 · 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 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

Citations10
Published2023
Admission routes2
Has abstractyes

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