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Record W2892863180 · doi:10.9778/cmajo.20180037

Readability of advance directive documentation in Canada: a cross-sectional study

2018· article· en· W2892863180 on OpenAlexaffvenueabout
Alby Richard, J. Richard, Wendy Johnston, Janis M. Miyasaki

Bibliographic record

VenueCMAJ Open · 2018
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsReadabilityDocumentationDirectiveContext (archaeology)Health literacyLiteracyPopulationAgency (philosophy)Reading (process)MedicinePsychologyMedical educationFamily medicineGeographyPolitical scienceHealth careComputer scienceEnvironmental healthSociologyPedagogySocial science

Abstract

fetched live from OpenAlex

BACKGROUND: In the Canadian context, health literacy has been shown to depend on place of birth, education level, socioeconomic status, language spoken and geographic location. This study seeks to determine whether currently available advance directive documentation in Canada is written in accordance with the average reading level of the population and to assess whether recommendations for health literacy are currently being met. METHODS: A cross-sectional study design was used. Patient-oriented English-language advance directive documents (brochures and/or forms) were obtained from the health agency websites of all Canadian provinces and territories and analyzed for readability using the Flesch-Kincaid Grade Level and Flesch Readability Ease scales. RESULTS: Advance directives in Canada are distinct from one another and surpass the recommended reading level by 4.5 ± 1.4 grade levels on average (95% confidence interval 8.7-10.3) with the hardest-to-read documents existing in Ontario, Quebec and Alberta. INTERPRETATION: These results demonstrate that the provincial and territorial governments issuing advance directive documentation have fallen short of their fiduciary responsibility to provide documents that facilitate health literacy. Addressing this shortcoming can result in increased patient engagement in advance directive completion while promoting patient autonomy.

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 score0.015
Threshold uncertainty score0.222

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.118
GPT teacher head0.483
Teacher spread0.365 · 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

Citations12
Published2018
Admission routes3
Has abstractyes

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