P.028 Exploring young adult stroke patients’ lived experience, healthy lifestyle habits, and recommendations for designing innovative brain care-related initiatives
Bibliographic record
Abstract
Background: Over the past decade, worldwide stroke incidence has been increasing among young adults (≤65years), which has implications during the most dynamic period of their life. There is a dearth of research exploring young adults stroke patients’ experiences, healthy lifestyle habits, preferences, and recommendations for brain care-related initiatives. The study aimed to gain knowledge and a deeper understanding of young adult stroke patients’ experiences, lifestyle habits, and support needs for brain care-related education and interventions. Methods: A descriptive qualitative study was used. Participants who took part in the quantitative phase of a larger mixed methods study (n=103 that expressed an interest in the qualitative phase, were invited to take part in semi-structured focus groups. Simultaneous data collection and analysis are being conducted. Data are being analyzed using inductive thematic analysis outlined by Braun and Clarke (2006). Results: Findings will be available by May 20, 2024. Conclusions: Study findings will be essential to 1) mobilize an understanding of young adult stroke patients’ lived experience; 2) reconceptualize the current model of stroke care and services that is traditionally geared towards older adults; and 3) inform the development of brain care-related education and interventions to meet the unique needs, priorities, and preferences of young adult stroke patients.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".