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Dyadic Recreation Interventions for Older Adults with Dementia and Their Family Caregivers: Two Case Reports

2025· article· en· W4414689585 on OpenAlex
Pei-Chun Hsieh, Li-Jung Lin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTherapeutic Recreation Journal · 2025
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsBrock University
Fundersnot available
KeywordsDyadDementiaRecreationRecreational therapyIntervention (counseling)Psychological interventionFamily caregiversQuality of life (healthcare)

Abstract

fetched live from OpenAlex

Therapeutic dyads offer an innovative recreational therapy approach to support community-dwelling individuals with dementia and their caregivers. This report presents two case studies from Taiwan, demonstrating a dyadic recreational therapy intervention tailored to individual family units. Each unit included one older adult with mild to moderate cognitive impairment and their primary family caregiver. Over six months, both members of each dyad participated in 16 two-hour home-based sessions designed around their shared leisure interests. Data were collected from each participant—care recipient and caregiver—before and after the intervention using accelerometers, standardized assessments, and qualitative interviews. Observations suggested potential improvements in physical activity, functional fitness, and sleep quality for individuals with dementia, while caregivers reported a reduced sense of caregiver burden. Qualitative findings highlighted enhanced social interaction, positive shifts in leisure attitudes, and increased joint participation in meaningful activities. These case studies underscore the potential of dyadic recreational therapy as a culturally sensitive, family-centered approach to dementia care in Taiwan.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.845

Codex and Gemma teacher scores by category

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

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 head0.046
GPT teacher head0.394
Teacher spread0.348 · 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