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Record W2792805190 · doi:10.1177/1062860617751639

Readability of Online Health Information: A Meta-Narrative Systematic Review

2018· review· en· W2792805190 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAmerican Journal of Medical Quality · 2018
Typereview
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsReadabilityMisinformationMedicineReading (process)Health informationPublic healthMedical educationQuality (philosophy)Grade levelHealth careComputer sciencePsychologyNursing

Abstract

fetched live from OpenAlex

Online health information should meet the reading level for the general public (set at sixth-grade level). Readability is a key requirement for information to be helpful and improve quality of care. The authors conducted a systematic review to evaluate the readability of online health information in the United States and Canada. Out of 3743 references, the authors included 157 cross-sectional studies evaluating 7891 websites using 13 readability scales. The mean readability grade level across websites ranged from grade 10 to 15 based on the different scales. Stratification by specialty, health condition, and type of organization producing information revealed the same findings. In conclusion, online health information in the United States and Canada has a readability level that is inappropriate for general public use. Poor readability can lead to misinformation and may have a detrimental effect on health. Efforts are needed to improve readability and the content of online health 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.

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)0.090
metaresearch head score (Gemma)0.047
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.481
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0900.047
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0150.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.268
GPT teacher head0.622
Teacher spread0.353 · 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