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Record W2166248129 · doi:10.1177/1533317509337936

Older Adult’s Acceptability Ratings of Treatments for Verbal Agitation in Persons With Dementia

2009· article· en· W2166248129 on OpenAlexaff
Philippe Landreville, Valérie Leblanc

Bibliographic record

VenueAmerican Journal of Alzheimer s Disease & Other Dementias® · 2009
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPsychological interventionIntervention (counseling)PsychologyRisperidoneClinical psychologyDifferential reinforcementDementiaMedicinePsychiatryReinforcementSocial psychologySchizophrenia (object-oriented programming)DiseaseInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND/RATIONALE: Various interventions are available to manage verbal agitation (VA), but our understanding regarding their acceptability is limited. The purpose of this study is to compare the acceptability of 3 interventions from the point of view of elderly individuals: direct interaction (DI), differential reinforcement of incompatible behaviors (DRI), and risperidone (RIS). METHODS: Participants (N = 69) evaluated the acceptability of each treatment according to the description of a fictional person who demonstrated aggressive or nonaggressive VA. RESULTS: There is an interaction between the type of intervention and the severity of VA. For nonaggressive VA, DI is the most acceptable intervention followed by DRI and RIS. For aggressive VA, DI and DRI are more acceptable than RIS, but there is not a significant difference between them. The acceptability of each intervention is not associated with the participants' characteristics. CONCLUSION: The results of this study highlight the acceptability of DI for managing VA.

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)0.006
metaresearch head score (Gemma)0.020
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 score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.023
GPT teacher head0.360
Teacher spread0.337 · 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

Citations6
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Alzheimer s Disease & Other Dementias®Same topicHealthcare Decision-Making and RestraintsFrench-language works237,207