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Record W3023634158 · doi:10.1155/2020/3025456

Final Year Students’ Knowledge on Basic Manual Wheelchair Provision: The State of Occupational Therapy Programs in Colombia

2020· article· en· W3023634158 on OpenAlexaff
María Luisa Toro-Hernández, Liliana Alvarez, María C. Vargas-Chaparro, Mary Goldberg

Bibliographic record

VenueOccupational Therapy International · 2020
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsWestern University
FundersUniversity of PittsburghUnited States Agency for International Development
KeywordsWheelchairOccupational therapyTest (biology)Service (business)Medical educationManual wheelchairMedicinePsychologyNursingBusinessPhysical therapyComputer scienceMarketing

Abstract

fetched live from OpenAlex

Access to personal mobility is a human right and as such, it implies the provision of wheelchair services for those with mobility impairments that need one. Lack of appropriately trained personnel is a major contributor to the gap in access to wheelchairs. Assistive technology provision is one of the core competencies of occupational therapists. The goal of this study was to assess the current wheelchair provision knowledge of final year occupational therapy students in Colombia as measured by the International Society of Wheelchair Professionals Basic Wheelchair Service Knowledge Test. A total of 83 students from 7 universities took the test. None of the students met the 70% passing threshold. The highest scores were in the assessment domain while the lowest in the fitting and user training domains. These results suggest that the current wheelchair provision education received in these programs do not meet the World Health Organization guidelines on appropriate wheelchair provision. The implementation of strategies to improve current wheelchair provision education in Colombian occupational therapy programs is granted.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.194
Threshold uncertainty score0.386

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.300
GPT teacher head0.509
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2020
Admission routes1
Has abstractyes

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