Co‐design of the DELIGHT (Dementia Lifestyle Interventions for Growing Healthy Together) program for persons living with dementia and care partners
Bibliographic record
Abstract
Abstract Background Persons living with dementia (PLWD) and family care partners (CPs) want to improve their health, maintain independence, and enhance well‐being. Multi‐domain interventions towards this goal are needed, but few are available and fewer were co‐created with PLWD, CPs, and program providers. The objective of the DELIGHT project is to use a participatory approach to co‐design a feasible, effective multi‐domain intervention (the DELIGHT program) that meets the health and well‐being goals of PLWD and CPs. Method Using a participatory approach, the DELIGHT project is guided by a core team of researchers, PLWD, CPs, and an Alzheimer Society representative. The co‐design team included the core team and additional PLWD/CPs, exercise professionals, dietitians, health care professionals, and community service providers (n=29). Due to COVID‐19, research team meetings have been virtual since May 2020. The co‐design was planned for four in‐person, half‐day sessions but was transitioned to six online, 1.5‐hour sessions, using small breakout rooms for discussion. The co‐design meetings focused on identifying target population, key outcomes of the program and developing program components and structure. During co‐design meetings, two or three guiding questions were set to focus discussion on a specific topic (e.g., exercise). The final co‐design session focused on the overall structure of the DELIGHT program. The core team then reflected on co‐design discussions and decisions and made final decisions on program structure. Program resources were iteratively designed with the core team, co‐design team, and other external stakeholders (including an illustrator). Result The DELIGHT program is designed to promote well‐being among PLWD and CP. Engagement soon after diagnosis is a goal. The program will meet twice per week for one hour of exercise and thirty minutes of facilitated discussion/education with a healthy snack and social engagement. Education will focus on healthy eating, sleeping well, mental well‐being, social connection, and physical activity. Program resources and manual are in development. Conclusion The DELIGHT program was co‐created by PLWD, CPs, researchers, and community stakeholders to meet the health and well‐being goals of PLWD and CPs. The on‐line and in‐person program options will be piloted and evaluated in fall 2021.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".