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Record W4200602408 · doi:10.1177/00084174211064497

Art Activities in Long-Term Care: A Scoping Review

2021· review· en· W4200602408 on OpenAlexaffvenue
Evelyne Durocher, Janet Njelesani, Emily Crosby

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2021
Typereview
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsMcMaster UniversityQueen's UniversityMcMaster University Medical Centre
Fundersnot available
KeywordsOccupational therapyInclusion (mineral)Art therapyMoodPsychologyLong-term careMedicineNursingPsychotherapistClinical psychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Background: Outcomes of using art in therapy overlap with goals of occupational therapy with older adults in long-term care, which include improving and maintaining health and well-being through engagement in occupations. There is a lack of evidence about how art activities could complement or inform occupational therapy. Purpose: The purpose of this scoping review is to map existing literature about how art activities are used in long-term care. Methods: Six electronic databases were searched. Fourteen studies met inclusion criteria and were analyzed to identify patterns and discrepancies. Findings: The analysis suggests art activities can contribute to well-being by improving mood, promoting communication and reminiscence, and supporting the development and deepening of social relationships. Implications: Occupational therapists should consider incorporating art activities as these offer therapeutic benefits and can be adapted to individual strengths and preferred type and level of participation.

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)0.008
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0150.018
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.273
GPT teacher head0.445
Teacher spread0.172 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations6
Published2021
Admission routes2
Has abstractyes

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