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Record W2974375847 · doi:10.1177/0706743719874177

Evaluation de la douleur et de l’anxiété lors de soins dentaires chez les patients hospitalisés en psychiatrie: Evaluating pain and anxiety under dental care in psychiatric inpatients

2019· article· fr· W2974375847 on OpenAlexvenueno aff
Ombline Bolloré, A Ourrad, Palmyre Schenin‐King Andrianisaina, Mekki Terbeche, Charles Laidi, Wanda Yekhlef, Virginie Moulier, Dominique Januel

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2019
Typearticle
Languagefr
FieldDentistry
TopicDental Anxiety and Anesthesia Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesMedicineGynecologyPhilosophy

Abstract

fetched live from OpenAlex

Objectif: La santé bucco-dentaire des patients en psychiatrie est problématique, puisque le recours au chirurgien-dentiste demeure inférieur de 25 % à la population générale. En partant de ce postulat, nous avons souhaité comprendre en quoi l’anxiété et la douleur du patient peuvent impacter la prise en charge bucco-dentaire et le bon déroulement des soins. Méthode: Cette étude a été menée sur 100 patients hospitalisés en psychiatrie. Grâce à différentes échelles, nous avons évalué leur niveau d’anxiété et de douleur, mais aussi leur coopération aux soins. Résultats: L’anxiété ne constitue pas un frein à la prise en charge, et diminue significativement après les soins. Le comportement durant les soins bucco-dentaires des patients hospitalisés en psychiatrie semble similaire à celui de la population générale. Conclusion: Notre étude permet de mieux appréhender les soins dentaires en psychiatrie et devrait contribuer à placer les soins dentaires au centre de la prise en charge somatique en psychiatrie.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.011
GPT teacher head0.300
Teacher spread0.290 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2019
Admission routes1
Has abstractyes

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Same venueThe Canadian Journal of PsychiatrySame topicDental Anxiety and Anesthesia TechniquesFrench-language works237,207