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La « communication thérapeutique » en médecine interne

2022· review· fr· W4307848028 on OpenAlexaff
Chloé Darbellay, Simon Magnin, Axel Haidar Ahmad, Adriana Wolff, Jacques Serratrice, Matteo Coen

Bibliographic record

VenueRevue Médicale Suisse · 2022
Typereview
Languagefr
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsFirst Nations Health and Social Secretariat of Manitoba
Fundersnot available
KeywordsHumanitiesPsychologyPsychotherapistMedicinePhilosophy

Abstract

fetched live from OpenAlex

Caregiver-patient communication is a central element of the therapeutic relationship and a powerful placebo. While poorly adapted communication can have harmful effects, adequate communication offers many benefits for the patient and the caregiver. Therapeutic communication (TC), a set of strategies inspired by clinical hypnosis, is easy to learn and apply. In addition to reinforcing an empathetic attitude, TC appears to be effective in various clinical situations, particularly for its effects on pain and anxiety. In order to better understand the interest of CT in internal medicine, we have conducted a literature review on its efficacy during different medical procedures.

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 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)0.013
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.002

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 head0.058
GPT teacher head0.334
Teacher spread0.276 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2022
Admission routes1
Has abstractyes

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