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Record W1995620910 · doi:10.1177/0008417415573076

Screening for sensory impairment in older adults: Training and practice of occupational therapists in Quebec

2015· article· en· W1995620910 on OpenAlexvenueaboutno aff
Walter Wittich, Elizabeth A. Barstow, Jonathan Jarry, Aliki Thomas

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2015
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyDescriptive statisticsGraduation (instrument)CurriculumCognitionMedicinePsychologyClinical psychologyGerontologyPhysical therapyPsychiatryPedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: The goal of occupational therapy education is to train generalists who can refine their knowledge after graduation according to the requirements of the professional environment. However, it is currently unclear to what extent sensory screening should be included in the educational curricula. PURPOSE: The purpose of this study was to examine the sensory screening education for and practice by occupational therapists working with older adults. METHOD: A cross-sectional survey was used to collect data from members of the Quebec Order of Occupational Therapists. Descriptive statistics were used in the analysis. FINDINGS: Data from 102 respondents indicated that training on sensory impairment-related topics was minimal and in stark contrast to the proportion who reported serving clients with a visual (92%), hearing (84%), or combined impairment (53%). IMPLICATIONS: Occupational therapy considers numerous aspects of physical, cognitive, and emotional well-being. The question remains as to what extent vision and hearing health should take their place among these priorities.

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)0.005
metaresearch head score (Gemma)0.002
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 score0.113
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.405
GPT teacher head0.527
Teacher spread0.122 · 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

Citations18
Published2015
Admission routes2
Has abstractyes

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