Brain Health PRO: An Interactive, Online, Educational Program for Dementia
Bibliographic record
Abstract
Abstract Background The Intervention mapping framework was used to plan and develop Brain Health PRO (BHPro), a 45‐week, theory‐ and evidence‐based online educational program co‐created with users in English and French. The goal of the program is to improve dementia literacy, self‐efficacy, and attitude toward dementia and ultimately have a positive impact on the dementia risk profile. A pilot study evaluated usability and acceptability using a shorter version of the online program, which informed changes for a full efficacy trial. Method A group of over 100 researchers contributed expert content targeting seven modifiable risk factors (physical activity, nutrition, cognitive engagement, sleep, social and psychological health, vascular health, vision and audition). 181, ten minute chapters were created in total. All chapters were reviewed and edited by the Citizen’s Advisory group, consisting of older adults in the community. Information and recommendations for lifestyle improvement are delivered incrementally through weekly email interactions, and the platform is designed based on e‐learning principles. Participants complete online questionnaires to assess usability (eg: ease of use, ease of navigation, access, complexity), acceptability (eg: whether the program is interesting, whether they would use it again or recommend it) and level of risk at baseline for each of the seven modifiable risk factors. Result A pilot study of Brain Health PRO was conducted, including 20 older adults, 13 women and 7 men. They had 16.75 years of education on average and their mean score on Logical Memory Scale II was 10.90. Two focus groups were conducted with a randomly selected group of participants to inform about the usability and acceptability of the program. The focus groups along with user experience questionnaires indicated excellent usability, with all dimensions rated in the positive range. Feedback from the end users were incorporated into the program prior to the main efficacy study. Conclusion BHPro was designed out of necessity to pivot in the changing environment brought by COVID‐19. Early data indicate that the BHPro program meets the needs and abilities of older adults in a virtual setting. The platform is easy for older adults to learn and use and is considered relevant.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".