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Record W3165675611 · doi:10.5770/cgj.24.483

Management of Agitation in Dementia and Effects on Inpatient Length of Stay

2021· article· en· W3165675611 on OpenAlexafffundvenueabout
Isabelle Silverstone-Simard, Joyce Wu, Marouane Nassim, Ruby Friedman, Johanne Moette, Soham Rej

Bibliographic record

VenueCanadian Geriatrics Journal · 2021
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsMcGill UniversityJewish General Hospital
FundersCanadian Frailty NetworkGovernment of Canada
KeywordsMedicineOlanzapineQuetiapineDementiaRisperidoneBenzodiazepineEmergency medicineIntensive care medicineInternal medicinePsychiatrySchizophrenia (object-oriented programming)Disease

Abstract

fetched live from OpenAlex

Background 
 Agitation associated with dementia impacts delivery of medical care and is a major reason for institutionalization in dementia patients. This study examines the association of medication use and other clinical factors with patients’ ‘dischargeability’ (i.e., amount of time until a patient is considered dischargeable from an inpatient unit).
 Methods 
 This study was a retrospective chart review examining 200 patients with dementia and agitation, hospitalized at a Canadian acute care geriatric ward between November 2007 and November 2018. The main outcome measure was time until a patient was deemed dischargeable. Univariate linear regression analyses, followed by multiple linear regression analyses, were used.
 Results 
 Risperidone and quetiapine were the most commonly prescribed medications, but were not associated with time until dischargeable. Olanzapine (40.9 vs. 16.2 days until dischargeable, β = 0.23, p = .001), regular benzodiazepine (32.7 vs. 16.5 days until dischargeable, β = 0.15, p = .027), and as-needed (‘PRN’) benzodiazepine use (31.7 vs. 15.9 days until dischargeable, β =0.19, p = .006) were independently associated with prolonging time until dischargeable.
 Conclusions 
 Olanzapine, benzodiazepine, and PRN benzodiazepine use were associated with longer time until patients with dementia and agitation were considered ready for discharge. This raises the question as to whether the risks of these medications outweigh the benefits in a hospital setting.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.961
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.313
Teacher spread0.295 · 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 teacher head, 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

Citations3
Published2021
Admission routes4
Has abstractyes

Explore more

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