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Record W4220932839 · doi:10.1080/10790268.2022.2039855

Using activity-based therapy for individuals with spinal cord injury or disease: Interviews with physical and occupational therapists in rehabilitation hospitals

2022· article· en· W4220932839 on OpenAlexafffundabout
Hope Jervis-Rademeyer, Cindy Gauthier, José Zariffa, Kristen Walden, Tara Jeji, Shane McCullum, Kristin E. Musselman

Bibliographic record

VenueJournal of Spinal Cord Medicine · 2022
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsStan Cassidy FoundationPraxis Spinal Cord InstituteOntario Neurotrauma FoundationToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
FundersInstitut pour la Recherche sur la Moelle épinière et l’EncéphaleGovernment of Ontario
KeywordsMedicineSpinal cord injuryRehabilitationPhysical therapyOccupational therapyParaplegiaPhysical medicine and rehabilitationDiseaseSpinal cordPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To understand if and how physical therapists (PTs) and occupational therapists (OTs) use activity-based therapy (ABT) and its associated technologies for the rehabilitation of individuals living with spinal cord injury or disease (SCI/D) in Canadian rehabilitation hospital settings. DESIGN: Qualitative study. SETTING: Through rehabilitation hospitals participating in the Rick Hansen Spinal Cord Injury Registry, we recruited licensed OTs and PTs to participate in focus groups. PARTICIPANTS: Twelve PTs and ten OTs from nine sites across eight provinces participated. OUTCOME MEASURES: To inform the development of a semi-structured interview guide, we used the Theoretical Domains Framework. To analyze the data, we used interpretive description. RESULTS: mourning period, tolerance) the likelihood that ABT was introduced by therapists. (3) ABT and equipment access. Technology was used for ABT in a variety of ways. Access was affected by visible (e.g. equipment cost) and invisible barriers (e.g. departmental relations). CONCLUSIONS: The use of ABT and its associated technologies in Canadian rehabilitation hospitals is variable. Ongoing education could be offered, and site-specific implementation strategies could be developed, to promote ABT use.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.447

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.187
GPT teacher head0.547
Teacher spread0.359 · 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

Citations14
Published2022
Admission routes3
Has abstractyes

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