Exploring the usability and perceived benefits of Brain Health PRO: An online educational program for healthy brain aging
Bibliographic record
Abstract
Background: Brain Health PRO (BHPro) is a 45-week online educational program designed to promote healthy lifestyle behaviors and reduce dementia risk. Available in both English and French, it provides information and guidance on seven modifiable dementia risk factors: physical activity, cognitive engagement, nutrition, sleep, social and psychological health, vascular health, and vision and hearing. Upon completing a short intake questionnaire, users receive a personalized risk profile to guide their priorities and goals, with ongoing feedback throughout the program. Objective: This study aimed to explore the usability and perceived benefits of BHPro over a 12-week period. Methods: Eight community-dwelling older adults across Canada (ages 68-83; four male, four female) pilot-tested the program. Virtual focus groups were conducted at two time points: after 6 weeks and after 12 weeks of participation. Transcripts were analyzed using thematic analysis, organizing codes into sub-themes and themes. Results: Three main themes emerged: (1) Content-participants appreciated the likability, accessibility, and informativeness of the program; (2) Mechanics-comfort with technology, the usefulness of program features, and enjoyment of narration and graphics; (3) Engagement and Learning-participants reported increased motivation, new knowledge, behavioral changes, and desire for continuous feedback. Conclusion: Participants shared positive experiences with the online content and interface, benefitting on new knowledge gained while highlighting behavioral changes. The need for greater personalization in future iterations was emphasized. The BHPro pilot was well received by older adults, who found the platform usable, engaging, and beneficial. Findings offer insights into using online platforms to support brain health.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".