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Record W2981846467 · doi:10.1186/s12913-019-4533-z

Stroke survivors’ experiences of team support along their recovery continuum

2019· article· en· W2981846467 on OpenAlexaff
Wendy Hartford, Scott A. Lear, Laura Nimmon

Bibliographic record

VenueBMC Health Services Research · 2019
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia HospitalVancouver Hospital and Health Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsRehabilitationStroke (engine)MedicineEmpowermentSocial supportHealth careStroke recoveryPerspective (graphical)NursingPhysical therapyPsychologyPsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND: A coordinated stroke rehabilitation care team is considered optimal for supporting stroke survivors from diagnosis to recovery. Despite this recognition, many stroke survivors cannot access essential rehabilitation services. Furthermore, there is a lack of understanding of stroke patients' and their caregivers' rehabilitation needs and wishes. We sought to gain insight into healthcare and social structures from the perspective of patients and caregivers that can better support long-term stroke recovery. METHODS: We conducted individual interviews with 24 participants comprised of stroke survivors, spousal caregivers, stroke support group coordinators, and speech pathologist. Participants were recruited through three stroke survivor support groups. An empowerment lens was integrated into data analysis and data interpretation. RESULTS: Two dominant themes captured participants' experiences through stroke survivors' trajectory of care. 1) Experiences of managing stroke. This theme identified stroke survivors and spousal caregivers' experiences with stroke recovery, rehabilitation, and fulfilling unmet needs. 2) Resources of support. This theme described the social and financial support structures drawn upon to assist with stroke rehabilitation. CONCLUSIONS: The study highlighted a lack of teamwork between stroke survivors, spousal caregivers, and health professionals. This fragmented care was compounded by inequities in rehabilitation programs and health services resulting in what appeared to be a disempowering rehabilitation process. Although stroke recovery groups were a significant source of support for stroke survivors and spousal caregivers, participants perceived they were overlooked, by stroke recovery healthcare providers, as a site for stroke recovery healthcare services. An empowerment approach to stroke rehabilitation involves collaboration between stroke survivors, caregivers, healthcare providers, health services, and existing community stroke support structures. Framing stroke based care through an empowerment lens may serve to address stroke rehabilitation inadequacies and inequities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0040.003
Open science0.0010.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.039
GPT teacher head0.393
Teacher spread0.354 · 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 source (direct Gemma or distilled Codex), 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

Citations65
Published2019
Admission routes1
Has abstractyes

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