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Record W4410765629 · doi:10.1080/17538068.2025.2508346

Assessing knowledge translation following a pre-cancer diagnosis: a multinational evaluation of online resources targeting patients with cervical dysplasia

2025· article· en· W4410765629 on OpenAlex
G.J. Griffiths, Diane Tomalty, M Adams, Olivia Giovannetti

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

VenueJournal of Communications In Healthcare · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsQueen's UniversityMcGill University
Fundersnot available
KeywordsKnowledge translationDysplasiaMultinational corporationMedicineCervical cancerCancerTranslation (biology)OncologyKnowledge managementInternal medicineComputer scienceBusinessGeneticsBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Distressful clinician-to-patient dialogue such as a pre-cancer diagnosis of cervical dysplasia may interfere with information retention. Patient education material provided as an online resource offers a suitable option to review relevant health information outside the clinic. The aim of this study was to evaluate online resources (ORs) affiliated with healthcare institutions across Australia and the United Kingdom (UK) on their effectiveness to translate accessible and current knowledge to patients referred for loop electrosurgical excision procedure (LEEP) treatment. METHODS: A comprehensive directory of ORs related to LEEP was compiled from public hospital websites across Australia and the UK. Quantitative and qualitative methods were applied to evaluate resource reading-level (measured using three validated readability indices); actionability and understandability (measured using the Patient Education Material Assessment Tool [PEMAT]); and content (described using content analysis to assess disclosure practices associated with LEEP-related complications). RESULTS: All ORs (n = 39) exceeded the recommended reading level (Australia: x̄ = 10.07, σ = 1.01; UK: x̄ = 10.17, σ = 0.96). PEMAT results indicated higher percentages of ORs scored as understandable (Australia: 50.0%; UK: 69.7%) versus actionable (Australia: 33.3%; UK: 6.1%). Content analysis revealed widespread discordance in the disclosure of longer-term LEEP complications associated with pregnancy, fertility, and sexual function in both countries. CONCLUSIONS: Disclosures with significant health and wellness implications should be made with clear reference to peer reviewed science. Wider application of purpose-designed health literacy tools could improve measures of readability, actionability and understandability. International collaborations may provide opportunities to develop more comprehensive and patient-centred education materials to improve provider-to-patient knowledge translation.

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)0.008
metaresearch head score (Gemma)0.002
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 score0.103
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.175
GPT teacher head0.556
Teacher spread0.380 · 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