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Record W2891481746 · doi:10.36834/cmej.36848

Plain language communication as a priority competency for medical professionals in a globalized world

2018· article· en· W2891481746 on OpenAlex
Fiona Warde, Janet Papadakos, Tina Papadakos, Danielle Rodin, Mohammad Salhia, Meredith Giuliani

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Medical Education Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer Centre
Fundersnot available
KeywordsPlain languageGlobalizationCurriculumMedical educationHealth carePopulationDiversity (politics)Information and Communications TechnologyHealth literacyPublic relationsMedicineKnowledge managementComputer sciencePsychologyPolitical sciencePedagogyWorld Wide WebEnvironmental health

Abstract

fetched live from OpenAlex

This brief report aims to highlight the impact of globalization - the international movement of goods, people, and ideas - on patient-provider communication in medical training and practice, and how the implementation of plain language communication training as a core competency for care providers can mitigate this impact. Globalization influences both patient and provider population diversity, which presents challenges with regard to patient-provider communication, particularly in cases of limited health literacy. Plain language communication - the delivery of information in a simple, succinct, and accurate manner - can help address these challenges. Training in plain language communication, however, is not a part of standard education for health care providers. Based on a synthesis of relevant literature pertaining to globalization, plain language communication, and medical education curricula, it is hoped that the information presented establishes the need for plain language communication as a core competency in medical education to enable providers to better meet the needs of an increasingly globalized health system.

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)0.004
metaresearch head score (Gemma)0.073
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.342
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.073
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0450.000

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 head0.012
GPT teacher head0.397
Teacher spread0.385 · 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