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Record W2064217431 · doi:10.1080/j003v17n03_05

The Effect of Wheelchair Use on the Quality of Life of Persons with Multiple Sclerosis

2004· article· en· W2064217431 on OpenAlexaff
Rachel Devitt, Betty Chau, Jeffrey W. Jutai

Bibliographic record

VenueOccupational Therapy In Health Care · 2004
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsWestern UniversityNorth York General HospitalBridgepoint Active Healthcare
Fundersnot available
KeywordsWheelchairQuality of life (healthcare)Physical medicine and rehabilitationMultiple sclerosisPsychologyMedicinePhysical therapyPsychotherapistComputer sciencePsychiatryWorld Wide Web

Abstract

fetched live from OpenAlex

SUMMARY This pilot study describes the effect of wheelchair use on the quality of life of persons with multiple sclerosis (MS), and examines the clinical utility of the Psychosocial Impact of Assistive Devices Scale (PIADS) as an outcome measure for use by occupational therapists. Sixteen hospitalized adults with MS were interviewed using the PIADS. Descriptive comparisons of PIADS subscale scores (competence, adaptability, self-esteem) were conducted for participants using different types of wheelchairs, daily versus non-daily wheelchair users, and participants who required different levels of assistance to propel their wheelchairs. Results suggest that using a wheelchair has a positive impact on the quality of life of persons with MS. The PIADS was found to be clinically useful for exploring person-environment interactions and appears to be well suited to the goals and values of occupational therapy. Recommendations for future research and for incorporating the PIADS into occupational therapy practice are discussed.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.089
GPT teacher head0.358
Teacher spread0.270 · 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

Citations68
Published2004
Admission routes1
Has abstractyes

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