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Record W2147630096 · doi:10.1017/s0022215109991770

Readability of out-patient letters copied to patients: can patients understand what is written about them?

2009· article· en· W2147630096 on OpenAlexaff
S L Todhunter, Philip J. Clamp, Sophie Gillett, David D. Pothier

Bibliographic record

VenueThe Journal of Laryngology & Otology · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsReadabilityMedicineReading (process)Intervention (counseling)AuditFamily medicinePopulationMedical educationNursingLinguistics

Abstract

fetched live from OpenAlex

UNLABELLED: The National Health Service Plan of 2000 proposed that patients should receive a copy of all correspondence regarding their care. There is concern that the readability of patients' letters may not be appropriate for many patients. MATERIALS AND METHODS: This study determined readability scores for sequential letters written to general practitioners and copied to patients, following ENT consultations at the Royal United Hospital in Bath. Intervention involved educating clinicians in techniques to improve readability. RESULTS AND ANALYSIS: A total of 295 letters from eight clinicians were assessed in the pre-intervention phase. The mean Flesch reading ease score was 61.8 (standard deviation 8.7) and the mean Flesch-Kincaid reading grade was 9.0 (standard deviation 1.7). Re-audit analysed a further 301 letters. There was no significant change in the readability of the letters post-intervention. DISCUSSION: It may not be feasible to present medical information intended for general practitioners in a way that is readable to most of the UK adult population.

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)0.002
metaresearch head score (Gemma)0.031
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 score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.019
GPT teacher head0.242
Teacher spread0.224 · 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

Citations9
Published2009
Admission routes1
Has abstractyes

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