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Record W4406057168 · doi:10.1080/17483107.2024.2448724

Exploring the challenges in manual wheelchair operation for new users

2025· article· en· W4406057168 on OpenAlexaff
Suhantee Sathananthan, Émilie Blackburn, Dahlia Kairy, Dany H. Gagnon, William C. Miller, Kristin E. Musselman, François Routhier, Philippe S. Archambault

Bibliographic record

VenueDisability and Rehabilitation Assistive Technology · 2025
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsToronto Rehabilitation InstituteUniversity of TorontoUniversity Health NetworkUniversity of British ColumbiaMcGill UniversityUniversité LavalUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsWheelchairFocus groupManual wheelchairFocus (optics)Qualitative researchPhysical medicine and rehabilitationPsychologyMedicineApplied psychologyComputer scienceBusinessWorld Wide WebSociology

Abstract

fetched live from OpenAlex

PURPOSE: This exploratory qualitative study examines the challenges faced by manual wheelchair (MWC) users and their clinicians, with a focus on mobility difficulties in both outdoor and indoor environments, as well as training priorities. METHODS: The study involved semi-structured interviews with 18 clinicians and 25 MWC users from various rehabilitation centres. The interviews, lasting between 30 and 60 minutes, explored specific aspects of MWC use, including mobility challenges, training needs, and psychological factors. RESULTS: Thematic analysis of the data revealed key patterns, such as indoor and outdoor navigation issues, had difficulty with basic propulsion skills, and the psychological impact of using an MWC. Participants emphasized the need for comprehensive training programs, addressing safety concerns, and ensuring proper MWC adjustments to improve mobility and comfort. CONCLUSION: The study highlights the importance of psychological support and public awareness campaigns to reduce stigma and promote inclusivity. The findings are crucial for developing a tailored training program for new MWC users, addressing both physical and psychological challenges to enhance their overall quality of life and independence.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.290
Threshold uncertainty score0.643

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
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 head0.160
GPT teacher head0.439
Teacher spread0.279 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

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Same venueDisability and Rehabilitation Assistive TechnologySame topicAssistive Technology in Communication and MobilityFrench-language works237,207