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Record W4407554197 · doi:10.1177/10519815241311175

“Until the day I die, this will be with me”: Qualitative study to identify coping strategies used during post-stroke return-to-work

2025· article· en· W4407554197 on OpenAlexaff
Kalya M. Kee, Miho Asano

Bibliographic record

VenueWork · 2025
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCoping (psychology)Qualitative researchExploratory researchPsychologyGrounded theoryClinical psychologyStroke (engine)Interquartile rangeMedicine

Abstract

fetched live from OpenAlex

BackgroundAlthough work is reported to positively affect wellbeing and life satisfaction post-stroke, returning to work can be challenging.ObjectiveThe study objective was to identify the strategies used to cope by adults who had stroke during return-to-work processes.MethodThis was an exploratory qualitative study grounded in interpretative approaches. Individuals who have had stroke were recruited. Semi-structured interviews were conducted to understand the coping strategies that participants used. Transcripts were analyzed deductively.ResultsTwenty-seven participants completed the face-to-face interviews. The median age of participants was 61 years (interquartile range = 55-64). A majority were male (n = 19, 70.4%), Chinese (n = 20, 74.1%), and married (n = 21, 78.8%). All participants were employed before their stroke. Twenty participants (74.1%) reported that they had returned to work. The findings indicated that participants utilized a mix of problem- and emotion-focused coping strategies during their return-to-work process. While both types of coping strategies were used, participants who returned to work predominantly utilized problem-focused coping strategies.ConclusionsIndividuals returned to work by utilizing a combination of coping strategies to manage the effects of stroke. This suggests that comprehensive services are important to address personal and occupational challenges to assist stroke victims in resuming work.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.351
Teacher spread0.332 · 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 designQualitative
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

Citations2
Published2025
Admission routes1
Has abstractyes

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