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The Ultimate Outlier: Transitional Care for Persons with Dementia and BPSD

2017· article· en· W2615651367 on OpenAlexaff
Jiska Cohen‐Mansfield, Colleen A. Ray, Tasmia Hai, Cristina Marcu, Brandy L. Callahan, Morris Freedman

Bibliographic record

VenueCurrent Alzheimer Research · 2017
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsBaycrest Hospital
Fundersnot available
KeywordsDementiaTransitional careOutlierPsychologyGerontologyPsychiatryMedicineHealth careComputer sciencePolitical scienceArtificial intelligence

Abstract

fetched live from OpenAlex

BACKGROUND: Transitional care units aim to assist caregivers who cannot manage the care for persons with dementia who manifest behavioral and psychological symptoms of dementia (BPSD). However, there is a dearth of research on such care units. OBJECTIVE: The current study reviewed one specialized transitional unit to better understand the characteristics of the persons with dementia and behavioral symptoms entering such unit. The study also looked at the change in terms of (a) BPSD, (b) use of psychotropic medications and (c) function of the patients in this unit. METHOD: A retrospective chart review of 73 residents of a transitional care unit was conducted. Background and outcome information were collected on electronic data entry sheets. RESULTS: Patients had an average age of 75.0 years, 74.0% were men. Mean Cognitive Performance Scale score was 4.7. Comparing admission to discharge, there was a significant decrease in BPSD, and a significant increase in number of central nervous system medications. There were no significant changes in cognition or ability to perform activities of daily living. CONCLUSION: Patient characteristics differed from those of other long term care settings. This unique population requires further study to optimize the outcomes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
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 head0.147
GPT teacher head0.463
Teacher spread0.317 · 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.

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
Published2017
Admission routes1
Has abstractyes

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