Younger adult women who had a stroke or at high stroke risk: Exploration of their experiences and needs
Bibliographic record
Abstract
Background: Worldwide, women, particularly younger and middle-aged (≤65 years), are disproportionately affected by stroke. Although the adoption of healthy lifestyle habits is integral for stroke risk factor modification, little is known about younger adult women who had a stroke or are at high risk of stroke-their lifestyle-related knowledge, behaviors, associated and influencing facilitators, and barriers to support brain health, which this study aimed to address. Methods: A qualitative interpretivist design was employed that was part of a larger quality improvement mixed-methods study. Data was collected through virtual, semi-structured focus groups. Inductive thematic analysis was performed and analyzed using the intersectionality framework. Results: A total of 11 women comprised the study sample who were of high stroke risk or had a stroke (mean age 53 years, 54.5 % stroke). A total of six themes emerged from the analysis: (1) lifestyle habits supporting holistic post-stroke recovery, (2) parenting-not being the same mother as before, (3) professional expectations-having to leave career behind and pressures to return, (4) societal expectations of women and permission to self-care, (5) psychological safety and comfort from women-centered interventions, and (6) experience in the healthcare system-not feeling seen, heard, or considered as a woman. Conclusions: , through the incorporation of case management and psychosocial support in the current model of stroke care.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".