Unique Needs and Challenges Experienced by Young People With Stroke
Bibliographic record
Abstract
Background and Objectives: Stroke in young adults has a lifelong impact on activities of daily life, including driving, leisure, and community-based activities; social participation; and reduced productivity. The needs of young people with stroke (YPwS) are likely to vary across different countries, and the development of age-adapted information and interventions is therefore critical in addressing those needs. This study aims to (1) identify the unmet needs of people with stroke aged 18 to 55 years across countries with varied income levels and cultural backgrounds and (2) determine their preferred means to access knowledge and information about stroke in the young. Methods: This international needs analysis used a phenomenologic qualitative design to gain in-depth perspectives about the experiences of YPwS. Participants were recruited from 9 countries of varied socioeconomic status. We interviewed 44 participants with stroke (men: 22; women: 21; transman: 1; mean age: 44.2 ± 8.5 years) living in the community (range of time since stroke: 0.5-10 years). The semistructured interview focused on lived stroke experience, unmet needs, helpful strategies to meet individual needs, hopes, and dreams. The interview was recorded, conducted in the participants' native language, and transcribed verbatim. Data were analyzed using inductive thematic analysis. Results: Four main themes emerged from the interviews: (1) heterogeneity of unmet needs specific to YPwS, (2) invisible disability, (3) lack of age-specific stroke information, and (4) call for accessible information resources available in different formats. The results highlighted the need to provide long-term and contextually tailored support to YPwS, aligned with their recovery goals and age-specific needs. Initiatives such as peer-support groups, self-management or peer-mentoring programs, information resources in various formats, and participation in research projects could help address the unique needs of this population. Discussion: Our results emphasize the importance of raising awareness of stroke in the young and the unique challenges of this population. Future research could focus on the development of stroke care pathways specific to YPwS.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| 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".