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Record W2978112734 · doi:10.1080/10790268.2019.1647935

The use of aquatic therapy among rehabilitation professionals for individuals with spinal cord injury or disorder

2019· article· en· W2978112734 on OpenAlexaffabout
Andresa R. Marinho-Buzelli, Alexandra J. Zaluski, Avril Mansfield, Alison M. Bonnyman, Kristin E. Musselman

Bibliographic record

VenueJournal of Spinal Cord Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsSunnybrook Health Science CentreUniversity of SaskatchewanUniversity of TorontoToronto Rehabilitation InstituteUniversity Health Network
Fundersnot available
KeywordsThematic analysisMedicineContext (archaeology)RehabilitationSpinal cord injuryNext of kinNursingQualitative researchPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

Context/Objective: Aquatic therapy (AT) has been used to enhance balance and mobility in people with disabilities; however, AT is reported to be underused among people with spinal cord injury or disorder (SCI/D). We aimed to understand the perceptions of AT use by physical therapists (PT), PT assistants (PTA) and kinesiologists (KIN) across Canada for clients with SCI/D.Design/Methods: Individual semi-structured interviews were completed with PT, PTA and KIN (phone or in-person). PT, PTA and KIN who had used AT with at least one client with SCI/D in the past year were eligible. Interview questions queried each participant’s AT setting, AT approaches, and perceived facilitators and barriers to AT implementation for clients with SCI/D. Interviews were audio recorded and transcribed verbatim. Thematic analysis was used to identify themes and subthemes.Results: Six PT (2 male, 4 female), three PTA (female) and 1 KIN (female) participated. The following four themes were identified: (1) multi-system benefits from AT (e.g. from impairment to function, confidence and enjoyment); (2) application of AT (e.g. based on principles of the water); (3) perceived barriers to implementing AT (e.g. pool accessibility, client comorbidities); and (4) water as an enabler to function on land.Conclusions: The participants reported AT was a unique and versatile approach that benefits the multi-dimensional aspects of the health of individuals with SCI/D. They successfully integrated AT into their clinical practice despite the barriers faced by professionals and clients.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.569

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.100
GPT teacher head0.449
Teacher spread0.349 · 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 designRandomized trial
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

Citations16
Published2019
Admission routes2
Has abstractyes

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