MétaCan
Menu
Back to cohort

Experiences of nurses working in a stroke rehabilitation unit

2008· article· en· W2104135175 on OpenAlexaffabout
Susan Barreca, Seanne Wilkins

Bibliographic record

VenueJournal of Advanced Nursing · 2008
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsRehabilitationUnit (ring theory)Stroke (engine)Physical medicine and rehabilitationNursingPsychologyMedicinePhysical therapyEngineering

Abstract

fetched live from OpenAlex

AIM: This paper is a report of a study to explore the perceptions, beliefs and feelings of a group of nurses who provided care to individuals admitted to a stroke rehabilitation unit. BACKGROUND: Following a stroke, survivors should ideally be referred to multidisciplinary inpatient rehabilitation programmes, which attain better outcomes compared to the care provided on general medical wards. However, to achieve these outcomes, team members must work closely together. Communication problems have been reported in these teams, and other members may consider that nurses do not practise functional activities with patients. METHODS: An interpretive phenomenological approach was adopted. Eight nurses in one Canadian stroke rehabilitation unit were interviewed during 2004-2005 about their experiences of providing care to stroke survivors. FINDINGS: The nurses enjoyed giving this type of care, feeling that their role was pivotal to the rehabilitation process. At times, they found it difficult to let patients struggle to complete their activities of daily living. The nurses felt that lack of resources, including time, contributed to stroke survivors being short-changed in their rehabilitation nursing care. Despite holding strong views that others devalued their role within the stroke team, the nurses retained positive attitudes. CONCLUSION: Stroke teams need to recognize the constraints nurses experience in fulfilling their stroke rehabilitation role in order to foster the collegial support that could contribute to a more interactive and respectful work environment. They also need to consider ways to increase the job satisfaction of nurses working in stroke rehabilitation settings.

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)0.001
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 score0.276
Threshold uncertainty score0.236

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.023
GPT teacher head0.333
Teacher spread0.310 · 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

Citations48
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Advanced NursingSame topicStroke Rehabilitation and RecoveryFrench-language works237,207