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Assistive devices for children with functional impairments: impact on child and caregiver function

2008· review· en· W2042711456 on OpenAlexaff
S. Henderson, Heather Skelton, Peter Rosenbaum

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2008
Typereview
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcMaster UniversityHamilton Health SciencesHamilton General Hospital
Fundersnot available
KeywordsInternational Classification of Functioning, Disability and HealthActivities of daily livingAssistive devicePsychologyQuality of life (healthcare)Assistive technologyDevelopmental psychologyGerontologyMedicinePhysical medicine and rehabilitationRehabilitationPsychiatryComputer sciencePsychotherapist

Abstract

fetched live from OpenAlex

Functional impairments can limit a child's ability to participate in the experiences of childhood. This'deprivation'can, in turn, have a negative effect on such children's development, academic performance, and quality of life, as well as on the lives of their caregivers and families. Many adults use assistive devices to overcome functional impairments and enable them to participate in daily activities; however, such devices may be underutilized by children. Each of the 54 studies reviewed in this report identified one or more functional impairments towards which an assistive device was targeted: accessing a computer (n=3 [studies]), activity assistance (n=2), behaviour changes (n=3), communication (n=30), independent feeding (n=1), living skills (n=1), mobility (n=9), modifying the environment (n=1), nutrition (n=4), and postural stability (n=2). The aim of this review was to determine the impact of assistive devices on the components of functioning defined by the World Health Organization's International Classification of Functioning, Disability and Health. The impact of these devices was found to be overwhelmingly positive. Study outcomes reported were mainly child-focused and could be classified as influencing activity, participation, and personal contextual factors, with relatively little attention paid to caregiver-focused outcomes. Few studies provided either qualitative evidence or experimentally-based quantitative research evidence using controls.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.022
GPT teacher head0.285
Teacher spread0.263 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations138
Published2008
Admission routes1
Has abstractyes

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