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Record W4220778837 · doi:10.3166/pson-2022-0185

Développement et évaluation d’un programme d’entraînement à la communication hypnotique à destination des infirmières en oncologie pédiatrique : la formation Rel@x

2022· article· fr· W4220778837 on OpenAlexaff
David Ogez, Jennifer Aramideh, Émélie Rondeau, Terry Mizrahi, Marie-Claude Charest, Caroline Aurelie Plante, Michel Duval, Serge Sultan

Bibliographic record

VenuePsycho-Oncologie · 2022
Typearticle
Languagefr
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-RosemontCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Les enfants atteints d’un cancer sont régulièrement confrontés à des procédures douloureuses au cours de leur prise en charge. Afin de les accompagner au mieux dans leurs soins, des techniques de communication dérivées de l’hypnose ont montré d’excellents niveaux d’efficacité sur la réduction de la détresse et de la douleur associées à ces procédures. Nous avons mené une étude préliminaire évaluant les effets d’une formation à la communication hypnotique sur la pratique des infirmières lors de procédures douloureuses auprès d’enfants atteints d’un cancer. Les résultats ont montré une bonne acquisition des techniques par les infirmières et des effets importants de ces techniques sur les niveaux de douleurs et de détresse des enfants. Cette étude a aussi permis de récolter des recommandations d’amélioration de la formation pour développer un design plus simple de la formation Rel@x, qui sera testée auprès d’un échantillon d’infirmières et de patients plus important.

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)0.030
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.121
GPT teacher head0.425
Teacher spread0.304 · 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 designOther design
Domainnot available
GenreEmpirical

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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