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Record W3012594047 · doi:10.1080/17483107.2020.1741703

Assistive technology use and unmet need in Canada

2020· article· en· W3012594047 on OpenAlex
Anna Berardi, Emma Smith, William C. Miller

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDisability and Rehabilitation Assistive Technology · 2020
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsUniversity of British ColumbiaGF Strong Rehabilitation Centre
Fundersnot available
KeywordsContext (archaeology)LegislationPopulationGovernment (linguistics)PaceSample (material)Needs assessmentPsychologyEnvironmental healthMedicineGerontologyGeographyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Around the world, variations and inequities in access to assistive technology (AT) are evident. Development of legislation, policies, and programmes has not kept pace with the increasing demand for AT. Therefore, context-specific needs assessment is required, which can assist in anticipating the accessibility and human support needs of individuals with impairments, and in turn, inform resource allocation and prioritisation of services. The purpose of this cross-sectional study was to describe the current use and unmet needs of AT use in community-dwelling Canadians experiencing activity limitation or participation restriction (disability). DATA AND METHODS: Bootstrapping was used to estimate the prevalence of AT use and unmet needs using data from the 2012 Canadian Survey on Disability (CSD). The total sample size for the CSD was 45,443 individuals. RESULTS: Among the estimated 3,775,920 Canadians with a disability (13.7% of the Canadian population), 3,579,580 used some form of AT. Among these individuals, 3,050,750 use glasses or contact lenses and 1,109,060 use bathroom aids. The results of the study showed that the most common unmet need was for hearing aids (0.86% of the total population), followed by bathroom aids (0.36%). INTERPRETATIONS: This study comes at a time when global attention is focussed on research on access to AT. This study using data from the CSD will serve disability and social policy analysts at all levels of government, as well as associations for persons with disabilities and researchers working in the field of disability policy and programmes.Implication for RehabilitationThe current initiatives on assistive technology, including the World Health Organization's Global Cooperation on Assistive Technology (GATE) project, recognize the substantial gap between the need for and provision of assistive devices. In Canada, for example, as well as in other countries, despite rapid growth in innovation, unmet needs for assistive devices persist and multiple barriers have been reported by individuals in accessing needed assistive devices. A better understanding of the met and unmet needs of assistive technology users can assist in anticipating accessibility and human support needs of individuals with disabilities, and in turn, inform resource allocation and prioritization of services. • The study estimates the prevalence of assistive device use in community dwelling Canadians and describes the unmet needs for assistive devices of Canadians with activity limitation (disability).• This study provides evidence on the use and unmet assistive technology needs for disability and social policy analysts at all levels of government, as well as associations for persons with disabilities and researchers working in the field of disability policy and programmes.• The results of this study can be used for planning and evaluating services, programmes and policies for Canadian adults with disabilities to help enable their full participation in society.

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.

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)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.002
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 head0.042
GPT teacher head0.356
Teacher spread0.315 · 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