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Record W4386245280 · doi:10.1080/17483107.2023.2252004

Wheelchair Skills Test in simulated versus community settings: a mixed-methods crossover study of experienced motorized mobility scooter users

2023· article· en· W4386245280 on OpenAlexafffund
Sharon Jang, R. Lee Kirby, Laura Hurd Clarke, Sandra Hobson, Richelle Emery, W. Ben Mortenson

Bibliographic record

VenueDisability and Rehabilitation Assistive Technology · 2023
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsVancouver Coastal HealthWestern UniversityDalhousie UniversityUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsWheelchairManual wheelchairTest (biology)Crossover studyCrossoverPsychologyPhysical medicine and rehabilitationMedicinePhysical therapySimulationEngineeringComputer scienceAlternative medicine

Abstract

fetched live from OpenAlex

PURPOSE: The Wheelchair Skills Test (WST) is commonly conducted in a simulated setting. Although the WST can be done in the community setting, its usefulness in this setting has not been systematically evaluated. The purpose of this study was to compare the WST in the simulated versus community settings, and to explore participants' perceptions of performing in each environment. METHODS: For this mixed-methods study, we studied 20 motorized mobility scooter users who had used their devices for ≥ 3 months. Each participant completed the WST Version 4.3 twice in random order - once in a simulated setting and once in their community within a two-week period. Semi-structured interviews were conducted after completion of the WST in both environments. A self-report version of the WST (WST-Q) was also completed that measured perceived capacity, frequency of skill performance, and confidence. RESULTS: = 0.190). Community-setting WST scores were moderately correlated with WST-Q confidence scores. Simulated-setting scores were moderately correlated with WST-Q frequency scores. Although most participants preferred performing the WST in their communities due to convenience and familiarity, they perceived the simulated setting to be reflective of their community settings. CONCLUSION: Despite challenges, community-based testing may provide a better reflection of everyday performance for scooter users than testing in a simulated environment.

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)0.007
metaresearch head score (Gemma)0.041
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.040
GPT teacher head0.469
Teacher spread0.429 · 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.

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

Citations1
Published2023
Admission routes2
Has abstractyes

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