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Record W2183097705 · doi:10.2340/16501977-1854

Stroke survivors’, caregivers’, and health care professionals’ perspectives on the weekend pass to facilitate transition home

2014· article· en· W2183097705 on OpenAlexafffund
Jill I. Cameron, Marina Bastawrous, Amanda Marsella, Sheila Forde, Leroy E. Smale, Judith Friedland, Denyse Richardson, Gary Naglie

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2014
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsBaycrest HospitalToronto Rehabilitation InstituteUniversity of Toronto
FundersCanadian Institutes of Health ResearchOntario Stroke NetworkUniversity of Toronto
KeywordsFocus groupRehabilitationPerceptionHealth professionalsQualitative researchStroke (engine)MedicineNursingHealth carePsychologyFamily medicinePhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore stroke survivors', caregivers', and health care professionals' perceptions of weekend passes offered during inpatient rehabilitation and its role in facilitating the transition home. DESIGN: Qualitative descriptive. SUBJECTS: Sixteen stroke survivors, 15 caregivers, and 20 health care professionals' from a rehabilitation hospital. METHODS: Participants discussed their perceptions of the purpose of the weekend pass, experiences with the weekend pass including supports needed, and weekend pass administration. Focus group and interview data were audio recorded, professionally transcribed, checked for accuracy, and analyzed using conventional content analysis. RESULTS: We identified 3 key themes: i) preparing for patients to be safe at home; ii) gaining insight through the weekend pass; and iii) the emotional context of the weekend pass. These themes varied by participant group. CONCLUSIONS: When offering weekend passes, stroke care systems should carefully consider patients' and caregivers' readiness, emotional state, and preparation for weekend passes. The weekend pass experience can inform in-patient therapy, provide patients and caregivers with insight into life after stroke, and help prepare patients and families for the ultimate transition home.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.027
GPT teacher head0.310
Teacher spread0.283 · 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

Citations28
Published2014
Admission routes2
Has abstractyes

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