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Record W2949167879 · doi:10.1177/0008417419834456

Feasibility RCT protocol evaluating a powered-wheelchair training program for older adults

2019· article· en· W2949167879 on OpenAlexafffundvenue
Emma Smith, William C. Miller, W. Ben Mortenson, Alex Mihailidis

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2019
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsVancouver Coastal Health Research InstituteUniversity of British ColumbiaInternational Collaboration On Repair DiscoveriesGF Strong Rehabilitation CentreUniversity of TorontoUniversity of British Columbia Hospital
FundersAlzheimer SocietyCanadian Occupational Therapy FoundationCanadian Institutes of Health ResearchStiftelsen Promobilia
KeywordsWheelchairRandomized controlled trialPhysical medicine and rehabilitationPsychologyCognitive trainingCognitionIntervention (counseling)Physical therapyMedicineComputer science

Abstract

fetched live from OpenAlex

BACKGROUND.: Powered-wheelchair use improves participation for people with mobility limitations; however, many individuals do not receive powered-wheelchair skills training that meets their learning needs. PURPOSE.: The aim of this work is to evaluate the feasibility of a powered-wheelchair training program for older adults with cognitive impairment, using errorless learning strategies facilitated by shared control technology. METHOD.: A feasibility 2 × 2 factorial randomized controlled trial will recruit 32 older adults in residential care with mild to moderate cognitive impairment who are new powered-wheelchair use. The intervention consists of six or 12 training sessions, facilitated by shared control technology, using errorless learning techniques. Control participants will receive six or 12 training sessions using trial-and-error methods. Feasibility and clinical outcomes data (primary outcome: powered-wheelchair skills) will be collected. IMPLICATIONS.: Errorless learning facilitated by shared control technology may be an alternative to meet the powered-wheelchair learning needs of older adults with cognitive impairments.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.405
GPT teacher head0.584
Teacher spread0.179 · 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

Citations4
Published2019
Admission routes3
Has abstractyes

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