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Record W4280633905 · doi:10.5430/jnep.v12n9p33

Effect of doll therapy on wandering symptoms in patients with dementia: A preliminary clinical observation

2022· article· en· W4280633905 on OpenAlexvenueno aff
Lijuan Wang, Song Qin, Yaping Pan, Zongli Zhang, Cuicui Zhai, Zhongwei Guo

Bibliographic record

VenueJournal of Nursing Education and Practice · 2022
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaIntervention (counseling)Adverse effectMedicinePsychologyPsychiatryClinical psychologyInternal medicineDisease

Abstract

fetched live from OpenAlex

Wandering is a neuropsychiatric symptom of dementia, and it is associated with adverse consequences. Doll therapy (DT) is a non-drug intervention for reducing distressing behaviors among people with dementia. The current study was conducted to determine the effects of DT on wandering in patients with dementia. A one-group including 40 patients with severe dementia was included to measure the impact of DT. The Chinese Revised Algase Wandering Scale-Community Version (CRAWS-CV) was used to evaluate patients each weekend. Results revealed that patients exhibited a clear improvement in CRAWS-CV scores over 4 weeks, especially eloping behavior, meal time walking, pacing, random pattern and aimless pattern scores. The current findings indicate that DT is beneficial for dementia patients with wandering.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0010.000

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 head0.115
GPT teacher head0.450
Teacher spread0.335 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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