IMPROVING COGNITIVE DECLINE FOR PERSONS LIVING WITH DEMENTIA: A RCT ART THERAPY BASED ON THE ETC FRAMEWORK
Bibliographic record
Abstract
Abstract Abstract This randomized controlled trial explored the impact of Expressive Therapies Continuum (ETC)-based art therapy interventions for older adults with dementia living in a complex care home. The trial examined the efficacy of 10 art therapy intervention sessions over 4 months, comparing results with an active control group that participated in 10 art sessions. Pre- and post-assessments, including the Mini-Mental State Examination (MMSE), Clock Drawing Test (CDT), and the Older People’s Quality of Life (OPQOL-Brief) questionnaires, were conducted. Results demonstrated that participants displayed similar visual expression elements, shared preferences for specific media types, and equivalent ETC-based intervention entry levels. In addition, participants in the experimental group showed significant increases in OPQOL-Brief scores. Finally, MMSE-Language scores demonstrated statistically significant increases in the experimental group and a decrease in the control group. The current study aligns with previous research demonstrating that art therapy can improve cognitive functioning and enhance the quality of life in older adults living with dementia. It expands on previous research by providing new insights into expressive and stylistic elements, ETC entry-level, and media preferences for engaging in artmaking. Keywords: Art therapy, dementia, older adults, Expressive Therapies Continuum, cognitive functioning, quality of life
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".