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469 PATIENT PERSPECTIVES ABOUT MANAGEMENT AND CONTROL OF HYPERTENSION IS NOT RELATED TO BLOOD PRESSURE CONTROL

2012· article· en· W2315661230 on OpenAlexaffabout
Branko Braam, Emily Jolles, Raj Padwal, Alexander M. Clark

Bibliographic record

VenueJournal of Hypertension · 2012
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineFeelingInterviewBlood pressureQualitative researchFacilitationFamily medicineInternal medicineSocial psychology

Abstract

fetched live from OpenAlex

Objective: We hypothesized that an open-minded investigation towards facilitation and barriers could lead to the identification of major themes in personal knowledge and attitudes to hypertension by patients. Design and Methods: A qualitative study of 26 adult hypertensive patients using semi-structured interviewing was conducted. Participants were recruited from hypertensive clinics at the University of Alberta; consented patients were subjected to semi-structured interview using a guide developed from current literature. Audiotaped interviews were transcribed verbatim. Duration of interviews was from 30 to 60 minutes. Results: Patients (aged 26 to 84 years old; mean 57.2) were stratified in the analysis by blood pressure control status (42% on target vs. 58% not on target). Three underlying themes were identified by patients: knowledge of blood pressure relating to diagnosis, management and control of hypertension, integration of hypertension management into daily routine, and feelings and beliefs about health and wellness. None of these were related to control of BP. Conclusions: The study reports the importance of patient perspectives and beliefs on their health, and showed substantial knowledge gaps. Findings may be useful in the development of an instrument to assess patient's personal barriers for control of hypertension.

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)0.004
metaresearch head score (Gemma)0.019
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.035
GPT teacher head0.340
Teacher spread0.305 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

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