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Record W4386757846 · doi:10.3917/rsi.153.0040

« C’est possible », réduire la coercition dans les soins pour les personnes adultes vivant avec des troubles neurodéveloppementaux : une étude à devis mixte

2023· article· fr· W4386757846 on OpenAlexaff
Vincent Billé, Claire Gonsalvès, Agathe Lamarche‐Vadel, Hélène Verdoux

Bibliographic record

VenueRecherche en soins infirmiers · 2023
Typearticle
Languagefr
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSeclusionIntervention (counseling)PsychologyAggressionPsychiatryMedicineNursing

Abstract

fetched live from OpenAlex

INTRODUCTION: Adults living with a neurodevelopmental disorder may present episodes of aggression, which may lead to the use of seclusion or restraint. The aim of the study was to assess the effect of an intervention aimed at reducing the use of coercive measures in a long-term care unit for adults suffering from a neurodevelopmental disorder with or without psychiatric co-morbidities. METHOD: The single-center study used a sequential mixed-methods explanatory design. Retrospective data on periods of seclusion, with and without physical restraint, were collected for the ten-month pre-intervention and post-intervention periods. A qualitative survey was conducted at the end of the intervention period among the health professionals working in the unit to review the implementation and the efficiency of the approach. RESULTS: A significant decrease was observed between the pre- and post-intervention period in the number of seclusion and restraint sequences, the number of patients experiencing seclusion and restraint, and the duration of seclusion and restraint sequences. The efficiency of the approach was confirmed by the health care professionals and was attributed to leadership focused on limiting coercive measures, better adherence to legal obligations, team cohesion, and the implementation of alternative tools and methods. DISCUSSION: Reducing the use of coercive measures with adults with neurodevelopmental disorders is possible. Further studies are needed to confirm the effectiveness of alternative strategies to seclusion and restraint.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0010.002

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 head0.293
GPT teacher head0.475
Teacher spread0.183 · 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
Published2023
Admission routes1
Has abstractyes

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