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Record W3127002906 · doi:10.12968/bjmh.2020.0013

Cognitive stimulation therapy for people with mild to moderate dementia in a day hospital setting: a service evaluation

2021· article· en· W3127002906 on OpenAlexaboutno aff
Nicola Sadlier, Paul Bickerstaffe

Bibliographic record

VenueBritish Journal of Mental Health Nursing · 2021
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsMoodCognitionDementiaMedicineClinical psychologyDepression (economics)PsychologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Background/Aims The National Institute for Health and Care Excellence guidelines for dementia recommend the use of cognitive stimulation therapy as a non-pharmacological treatment for people with mild to moderate dementia. Research evidence indicates that it can have a positive impact on cognition, quality of life and mood. Methods Cognitive stimulation therapy groups have recently been delivered as part of a therapeutic programme at a day hospital and a service evaluation was conducted to ascertain the impact of cognitive stimulation therapy on the patients attending these groups. The cognitive functioning and mood of patients was assessed before and immediately after a course of 14 cognitive stimulation therapy group sessions using the Montreal Cognitive Assessment and the Geriatric Depression Scale. Results The results indicated a stabilisation or improvement in cognition in eight of the nine patients and an improvement in mood in five of the nine patients. Conclusions These findings are in line with current research and support the continued use of cognitive stimulation therapy in the day hospital.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.032
GPT teacher head0.394
Teacher spread0.362 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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