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Record W2059289951 · doi:10.12927/hcq.2008.19656

"It's Safe to Ask": Promoting Patient Safety through Health Literacy

2008· article· en· W2059289951 on OpenAlexafffundabout
Laurie Thompson

Bibliographic record

VenueHealthcare Quarterly · 2008
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsSt. Boniface Hospital
FundersWinnipeg FoundationManitoba Medical Service FoundationAstraZeneca
KeywordsAsk priceListing (finance)Health literacyPsychological interventionHealth careLiteracyPatient safetyNursingMedicinePublic relationsPhase (matter)Medical educationPsychologyBusinessPolitical sciencePedagogy

Abstract

fetched live from OpenAlex

The Manitoba Institute for Patient Safety launched "It's Safe to Ask" in January 2007. The communication and health literacy initiative is aimed at Manitoba's vulnerable populations and their primary care providers. Phase 1 includes a poster and brochure for patients and a toolkit for providers/organizations, pilot tested in six sites in Manitoba. Posters will serve as a symbol that dialogue is encouraged. Tools, available in 15 languages, provide patients and family members with three key questions to ask in healthcare interactions, tips on how to ask questions, and room for notes and listing of medications. The initiative will promote involvement in healthcare by patients, stronger communication between patient and provider, and reduction of risk for adverse events. "It's Safe to Ask" has been implemented in over 65 sites across Manitoba. A formal evaluation is underway. Phase 2 and 3 will enhance key tools and include interventions with specific populations.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.003

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 head0.060
GPT teacher head0.443
Teacher spread0.382 · 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; both teacher heads agree on what is shown here.

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

Citations16
Published2008
Admission routes3
Has abstractyes

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