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Record W2049701937 · doi:10.1080/02770900600925585

Asthma Numeracy Skill and Health Literacy

2006· article· en· W2049701937 on OpenAlexaff
Andrea Apter, Jing Cheng, Dylan S. Small, Ian M. Bennett, Claire Albert, Daniel Fein, Maureen George, Simone Van Horne

Bibliographic record

VenueJournal of Asthma · 2006
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsInstitute of Health Economics
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsNumeracyAsthmaHealth literacyMedicineLiteracyTest (biology)Adult literacyPhysical therapyFamily medicineHealth carePsychologyInternal medicine

Abstract

fetched live from OpenAlex

To assess understanding of numerical concepts in asthma self-management instructions, a 4-item Asthma Numeracy Questionnaire (ANQ) was developed and read to 73 adults with persistent asthma. Participants completed the Short Test of Functional Health Literacy in Adults (STOFHLA), 12(16%) answered all 4 numeracy items correctly; 6(8%) answered none correctly. Participants were least likely to understand items involving risk and percentages. Low numeracy but not STOFHLA score was associated with a history of hospitalization for asthma. At higher STOFHLA levels there was a wide range of the total number of correct numeracy responses. Numeracy is a unique and important component of health literacy.

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)0.001
metaresearch head score (Gemma)0.015
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.028
GPT teacher head0.441
Teacher spread0.413 · 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

Citations148
Published2006
Admission routes1
Has abstractyes

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