STAYING ENGAGED: A TAILORED COMMUNITY PROGRAM FOR PEOPLE LIVING WITH DEMENTIA AND THEIR FAMILY CAREGIVERS
Bibliographic record
Abstract
Abstract Tailored care strategies have potential to address declines in physical and cognitive functioning for people living with dementia (PLWD) while making a positive difference in their daily lives; however, these services are not commonplace. As dementia progresses, PLWD become more dependent upon caregivers, increasing caregiving strain and negatively affecting their ability to provide support. The purpose of this study is to examine the feasibility of a tailored community dementia program (TCDP) prescribed for individual abilities of PLWD and measure the impact on the caregiving dyad. A mixed method design was used for a 12-week TCDP with 8 dyads living in the community. Recreational therapy and exercise physiology specialists led the cognitive and physical components of the program. PLWD and caregivers completed assessments at baseline, 6, 12 and 18 weeks. Daily activity was measured in PLWD with no decline observed during the assessment period. Measurements for family caregivers included caregiver strain, satisfaction and assessment of the PLWD’s abilities. Although quantitative findings were not significant, caregivers praised the program in the follow-up focus group with one commenting that “it is important for the mental health of the family and for the patient to keep them active…and (for) socialization”. Another caregiver wrote in their journal “I feel he has really benefited from this program. It keeps him engaged with people and I do think he is more fit”. Overall the TCPD shows promise as a meaningful intervention. Cohort 2 begins in summer 2019 and will implement changes suggested by the caregiving dyads.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".