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Record W2147591064 · doi:10.1177/1460458209337444

How does national culture affect citizens’ rights of access to personal health information and informed consent?

2009· article· en· W2147591064 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Informatics Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInformed consentLegislatureGlobeLegislationAffect (linguistics)Political scienceHealth informationHealth carePsychologyPublic relationsLawMedicineAlternative medicine

Abstract

fetched live from OpenAlex

Two widely discussed and debated aspects of health law literature are 'informed' consent to medical treatment and the right of access to personal health information. Both are tied to the larger subject of patients' rights, including the right to privacy. This article looks at the issue of informed consent internationally, and goes further to explain some of the inequalities across the world with respect to informed consent and patients' rights legislation via an analysis of the take-up of key legislative attributes in patient consent. Specifically, the effect that national culture, as defined by the GLOBE variables, has on the rate and pattern of adoption of these consent elements is analysed using binary logistic regression to provide evidence of the existence or otherwise of a cultural predicate of the legislative approach. The article concludes by outlining the challenges presented by these differences.

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.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.092
GPT teacher head0.393
Teacher spread0.301 · 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