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Record W2085953577 · doi:10.1310/tsr1304-97

Stroke Care in Long-Term Care Facilities in Southwestern Ontario

2006· article· en· W2085953577 on OpenAlexaffabout
Paul Stolee, Loretta M. Hillier, Fiona Webster, Christina O’Callaghan

Bibliographic record

VenueTopics in Stroke Rehabilitation · 2006
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsOntario Stroke NetworkSt Joseph's Health CareLondon Health Sciences CentreUniversity of WaterlooLawson Health Research Institute
Fundersnot available
KeywordsRehabilitationStroke (engine)Long-term careMedicineOccupational therapyMedical emergencyNursingGerontologyPhysical therapy

Abstract

fetched live from OpenAlex

PURPOSE: This study describes the current state of stroke care and rehabilitation in facility-based long-term care (LTC). METHOD: LTC representatives, community partners (including physiotherapists and occupational therapists), stroke survivors, and family members were interviewed about stroke care provided in LTC facilities. RESULTS: Limitations of the current system were identified including inadequate provision of therapy, unequal access to specialized rehabilitation, lack of staff training to care for the specialized needs of residents with stroke, and the lack of coordinated and consistent care. CONCLUSION: This study identified challenges and barriers to providing optimal stroke care in LTC facilities. Recommendations for enhancing stroke care are suggested.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.010
GPT teacher head0.265
Teacher spread0.255 · 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.

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

Citations9
Published2006
Admission routes2
Has abstractyes

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