MétaCan
Menu
Back to cohort
Record W4414928677 · doi:10.1080/10749357.2025.2571570

Who’s in the driver seat?: raising the voices of younger women stroke survivors

2025· article· en· W4414928677 on OpenAlexaff
April Vander Veen, Jeffrey D. Holmes, Patricia Tucker, Liliana Alvarez

Bibliographic record

VenueTopics in Stroke Rehabilitation · 2025
Typearticle
Languageen
FieldHealth Professions
TopicOlder Adults Driving Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsRaising (metalworking)Stroke (engine)Human factors and ergonomicsRehabilitationStroke riskPoison control

Abstract

fetched live from OpenAlex

BACKGROUND: Driving restriction has far reaching negative impacts for people who have experienced a stroke. However, current understandings of driving restriction and community mobility after stroke are informed by experiences and perspectives of older men. Younger women (aged 55 years and younger) are facing increased risks for stroke and have unique needs related to life stage and socio-cultural gender roles. Despite these unique risks and needs, women are underrepresented in stroke and driving research, and health organizations are calling for more representation of women in cardiovascular research. OBJECTIVES: To understand the experiences and perspectives of younger women related to driving restriction and their subsequent participation in valued activities and roles after a stroke. METHODS: We conducted a qualitative descriptive interview study with eight younger women (aged 55 years and younger) who had experienced a stroke. We used reflexive thematic analysis to identify themes in the data. RESULTS: Driving restriction after stroke among younger women is a significant disruption as driving is instrumental in enabling participation in valued activities, social interaction, and supportive roles. Women experienced significant psychological pain from driving restriction, compounded by the sudden and unexpected onset at their age. The women sought out social support, advocated for driver policy changes, and enacted agency to navigate driving restriction through the pursuit of self-determination and adaptation. CONCLUSIONS: Women have unique needs related to driving after stroke. More research is needed to develop richer understandings of this underrepresented group in stroke and driving research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.744

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.386
Teacher spread0.359 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueTopics in Stroke RehabilitationSame topicOlder Adults Driving StudiesFrench-language works237,207