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Record W2151095506 · doi:10.1017/s0714980800002099

Programme d'intervention visant à réduire l'utilisation des contentions physiques dans des unités de soins de longue durée — mise en oeuvre et effets sur le personnel soignant

2002· article· en· W2151095506 on OpenAlexaff
Pierre Durand, Jean-Paul Ouellet, Line Beauchesne, André Tourigny, René Verreault, Louise Dicaire, Louise Lévesque, Sylvie Lauzon, Robin Gagnon, Louis Rochette

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2002
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversité de MontréalCegep regional de LanaudiereCentre des Aînés Côte-des-NeigesUniversité Laval
Fundersnot available
KeywordsIntervention (counseling)NursingMedicineNursing staffPsychology

Abstract

fetched live from OpenAlex

ABSTRACT This study aimed at (a) developing a restraint reduction program, (b) describing its implementation in long-term care units, and (c) examining its effects on care staff's perceptions of and knowledge about the use of restraints. The program was composed of three parts: consciousness-raising meetings, staff education, and clinical follow-up. The study was a randomized, controlled clinical trial with eight intervention care units (five nursing homes) and 11 controls (five additional nursing homes). Care staff was surveyed at two time intervals over a 7-month period (pre- and post-test intervention; intervention care units:N= 171 [T0] andN= 158 [T1]; controls:N= 181 [T0] andN= 166 [T1]). The implementation of the program was successful and results showed significant changes in care staff perceptions of and knowledge about the use of restraints.

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)0.002
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.991
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.055
GPT teacher head0.302
Teacher spread0.247 · 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

Citations4
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicHealthcare Decision-Making and RestraintsFrench-language works237,207