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Record W2059765642 · doi:10.1002/gps.1594

The contribution of neuropsychiatric symptoms to the cost of dementia care

2006· article· en· W2059765642 on OpenAlexaff
Nathan Herrmann, Krista L. Lanctôt, R Sambrook, Nadia Lesnikova, Réjean Hébert, Peter McCracken, Alain Robillard, Elizabeth Nguyen

Bibliographic record

VenueInternational Journal of Geriatric Psychiatry · 2006
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversité de MontréalUniversité de SherbrookeHealth Sciences CentreUniversity of TorontoGlenrose Rehabilitation HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsDementiaPsychological interventionIndirect costsMedicineTotal costPsychiatryGerontologySevere dementiaDiseaseBusiness

Abstract

fetched live from OpenAlex

OBJECTIVE: To estimate the contribution of behavioral and psychological symptoms of dementia (BPSD) to the costs of care. METHOD: A one-year prospective study of resource utilization recorded monthly by 500 caregivers of community dwelling patients with dementia. The effect of behavior on total, direct and indirect costs of care was examined. RESULTS: The total cost of care was $1,298 per month and there was a significant independent relationship between costs and BPSD. The incremental cost of a one point increase in Neuropsychiatric Inventory score was $30 per month (95% CI: $19-$41). CONCLUSION: BPSD contribute significantly to the overall costs of dementia care. Interventions targeted at BPSD may help to reduce the staggering societal costs of this illness.

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)0.001
metaresearch head score (Gemma)0.010
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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.285
Teacher spread0.281 · 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

Citations231
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Geriatric PsychiatrySame topicDementia and Cognitive Impairment ResearchFrench-language works237,207