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Record W1963855584 · doi:10.1177/000841740807500205

Giving Youth a Voice (GYV): A Measure of Youths' Perceptions of the Client-Centredness of Rehabilitation Services

2008· article· en· W1963855584 on OpenAlexaffvenue
Caron Gan, Andrea Snider, Susan D. Cohen, J. Simner E. Hubbard

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2008
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsHolland Bloorview Kids Rehabilitation Hospital
Fundersnot available
KeywordsRehabilitationPsychologyPerceptionReliability (semiconductor)Measure (data warehouse)Perspective (graphical)Health careFocus groupApplied psychologyNursingMedicineComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Although client-centred care is regarded as the optimum way of delivering health care, there is currently no method to measure the client-centredness of services for youth with disabilities. PURPOSE: To develop a measure of youths' perceptions of the client-centredness of health care services in rehabilitation. METHODS: The Giving Youth a Voice (GYV) questionnaire was adapted from the Measure of Processes of Care, a measure of caregiving from the perspective of parents. Items for a youth version of the questionnaire were generated from focus groups with youths who had received rehabilitation services. Content analysis of the groups yielded four themes, which became the subscales for the new measure. FINDINGS: GYV, a 56-item measure, has good internal reliability and test-retest reliability. Convergent validity was estimated through correlations with the Client Satisfaction Questionnaire. IMPLICATIONS: GYV provides an opportunity for youth with disabilities to have a voice about the rehabilitation services they receive.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.048
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.184
GPT teacher head0.419
Teacher spread0.235 · 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

Citations22
Published2008
Admission routes2
Has abstractyes

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