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Record W2152963841 · doi:10.1093/ageing/afp065

Typeface legibility of patient information leaflets intended for community-dwelling seniors

2009· article· en· W2152963841 on OpenAlexaffabout
Adriana J Chubaty, Cheryl A Sadowski, Anita Carrie

Bibliographic record

VenueAge and Ageing · 2009
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsCanadian Agency for Drugs and Technologies in HealthUniversity of AlbertaUniversity of Alberta HospitalAlberta Hospital Edmonton
Fundersnot available
KeywordsMedicineTypefaceLegibilityPharmacyFamily medicineHealth informationGerontologyHealth careAdvertising

Abstract

fetched live from OpenAlex

BACKGROUND: there are guidelines available from a number of countries and organisations regarding the design of written information, as appropriate design is essential for effective communication. The design of leaflets should be evaluated, as written information that does not adhere to guidelines may not be effective for seniors. OBJECTIVE: to use current typeface guidelines to describe the design of health information leaflets. DESIGN: this was a cross-sectional study of leaflets from pharmacies and seniors' clinics. SETTING: community pharmacies, seniors' clinics in Edmonton, Canada. METHODS: health information leaflets and hydrochlorthiazide information sheets were collected. The body of each was evaluated, based on guidelines (from Canada, UK and USA). Adherence to recommendations was assessed descriptively. RESULTS: a total of 388 unique leaflets and 10 hydrochlorthiazide sheets were collected from 21 pharmacies and 3 clinics. Most leaflets were produced by pharmaceutical companies (42.8%) and contained disease information (43.8%). Only one-third of all leaflets used the minimum recommended point size (12 point), 18.6% followed American guidelines for line spacing (1.5 lines), but 77.1% had appropriate contrast. CONCLUSIONS: although guidelines are available, most leaflets did not meet recommendations. Improvements in the leaflet design should be considered to aid seniors in the uptake of information.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.047
GPT teacher head0.404
Teacher spread0.357 · 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 designOther design
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

Citations23
Published2009
Admission routes2
Has abstractyes

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