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Readability and Quality Assessment of Online Patient Education Materials for Spinal and Epidural Anesthesia

2025· article· en· W4410947900 on OpenAlex
Reena Rai, JJ Wiseman, Anthony Chau, Sam M. Wiseman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueObstetric Anesthesia Digest · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsSt. Paul's HospitalProvidence Health Care
Fundersnot available
KeywordsMedicineReadabilityAnesthesiaSpinal anesthesiaQuality (philosophy)Medical physicsComputer science

Abstract

fetched live from OpenAlex

( Can J Anesth/J Can Anesth . 2024;71(8):1092–1102. doi: 10.1007/s12630-024-02771-9) A study assessed the readability and quality of online patient education materials about spinal and epidural anesthesia, focusing on whether they align with recommended guidelines for accessibility. The American Medical Association suggests health-related materials should be written at or below a sixth-grade reading level to ensure comprehension by a broad audience. The researchers utilized Google Search to evaluate 261 webpages found through 11 relevant search terms. Seven readability formulas were used, including the Flesch-Kincaid Grade Level (FKGL), Coleman–Liau Index (CLI), Gunning Fog Index (GFI), Simple Measure of Gobbledygook (SMOG), Flesch Reading Ease (FRE), New Dale–Chall (NDC), and Automated Readability Index (ARI).

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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.081
GPT teacher head0.441
Teacher spread0.360 · 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