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Record W3000703710 · doi:10.1101/2020.01.05.19015099

Pushing the limits of recovery in chronic stroke survivors: User perceptions of the Queen Square Upper Limb Neurorehabilitation Programme

2020· preprint· en· W3000703710 on OpenAlexfundno aff
Kate Kelly, Fran Brander, Amanda Strawson, Nick Ward, Kathryn S. Hayward

Bibliographic record

VenuemedRxiv · 2020
Typepreprint
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
FundersMedical Research CouncilUniversity College London Hospitals NHS Foundation TrustMichael Smith Health Research BCNational Health and Medical Research CouncilNational Brain Appeal
KeywordsNeurorehabilitationPsychosocialThematic analysisFocus groupRehabilitationMedicineStroke (engine)Occupational therapyIntervention (counseling)Qualitative researchPhysical therapyPsychologyNursingPsychiatry

Abstract

fetched live from OpenAlex

Abstract Introduction The Queen Square Upper Limb (QSUL) Neurorehabilitation Programme is a clinical service within the National Health Service in the United Kingdom that provides 90 hours of therapy over three weeks to stroke survivors with persistent upper limb impairment. This study aimed to explore the perceptions of participants of this programme, including clinicians, stroke survivors and carers. Design Descriptive qualitative. Setting Clinical outpatient neurorehabilitation service. Participants Clinicians (physiotherapists, occupational therapists, rehabilitation assistants) involved in the delivery of the QSUL Programme, as well as stroke survivors and carers who had participated in the programme were purposively sampled. Each focus group followed a series of semi-structured, open questions that were tailored to the clinical or stroke group. One independent researcher facilitated all focus groups, which were audio-recorded, transcribed verbatim and analysed by four researchers using a thematic approach to identify main themes. Results Four focus groups were completed: three including stroke survivors (n = 16) and carers (n =2), and one including clinicians (n = 11). The main stroke survivor themes related to psychosocial aspects of the programme (“you feel valued as an individual”), as well as the behavioural training provided (“gruelling, yet rewarding”). The main clinician themes also included psychosocial aspects of the programme (“patient driven ethos – no barriers, no rules”), and knowledge, skills and resources of clinicians (“it is more than intensity, it is complex”). Conclusions As an intervention, the QSUL Programme is both comprehensive and complex. The impact of participation in the programme spans psychosocial and behavioural domains from the perspectives of both the stroke survivor and clinician. Strengths and limitations Descriptive qualitative study of the perception of users (stroke survivor, carer, clinician) engaged in the delivery of the Queen Square Upper Limb Neurorehabilitation Programme, which is run at a single centre in the United Kingdom. Focus groups were completed by a researcher independent of the programme, without the involvement of senior management to facilitate open discussion and critical reflection of the programme. This study involved a sample of users that were involved in the programme in the previous 12-months. Data coding was performed by four researchers enhancing the validity of the results. As only two carers were included in the focus groups, their experience has limited representation in the results.

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)0.007
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 score0.007
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.032
GPT teacher head0.297
Teacher spread0.265 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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