The feasibility of the virtually delivered dementia lifestyle intervention for getting healthy together (DELIGHT) program for people living with dementia and their family/friend care partners
Bibliographic record
Abstract
BACKGROUND: Improving supports to enhance quality of life for people living with dementia is a priority of research and practice. The DEmentia Lifestyle Intervention Program for Getting Healthy Together (DELIGHT) was co-designed by people with dementia, care partners, community stakeholders, and researchers with the goal of promoting 'living well' with dementia. OBJECTIVE: A mixed methods study design was used to assess the feasibility of the 8-week virtual DELIGHT program, which incorporates group exercise and shared learning on topics related to health and wellbeing. METHODS: Feasibility was evaluated through recruitment rate, attendance, and retention, along with semi-structured interviews that probed the program impact and recommended changes. Interviews were transcribed and analyzed using thematic analysis. Quality of life, physical activity, balance confidence, exercise self-efficacy, nutrition risk, social connection, balance, and strength were also assessed pre- and post-program. RESULTS: A total of 19 participants were recruited to the two virtual program offerings (average of 4.75 participants/month). Of these, 17 (89.5%) completed the pre- and post-program evaluations. Average attendance was 78% demonstrating feasibility of the program. Four themes related to the impact of and satisfaction with the DELIGHT program were identified: Creating and Strengthening Connections described the sense of community felt among participants and study leaders, Sharing Knowledge and Learning described participants enjoyment in learning from one another and sharing their own valuable knowledge, Motivation to Improve Health and Wellbeing described improvements in participants' functional abilities and motivation to continue healthy habits beyond the program, and Providing Hope and Challenging Stigma described a mindset shift to believing in the possibility of living well with dementia and challenging stigma. CONCLUSION: DELIGHT is a feasible lifestyle intervention for people living with dementia and their care partners. Further research to evaluate the feasibility of the in-person DELIGHT program and the effectiveness of both in-person and virtual offerings is warranted.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".