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Record W2033466897 · doi:10.1258/135763303769211256

Feasibility and outcome evaluation of a telemedicine application in speech–language pathology

2003· article· en· W2033466897 on OpenAlex
Claude Sicotte, Pascale Lehoux, Julie Fortier-Blanc, Yves Leblanc

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.

Bibliographic record

VenueJournal of Telemedicine and Telecare · 2003
Typearticle
Languageen
FieldPsychology
TopicStuttering Research and Treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsStutteringTelemedicineFluencyAttendanceMedicineIntervention (counseling)CohortAudiologyOutcome (game theory)Physical therapyPsychologyHealth careNursingPathology

Abstract

fetched live from OpenAlex

This evaluative study assessed the feasibility and outcome of delivering speech-language services from a distance to children and adolescents who stutter. All six patients who formed the first cohort seen in the telespeech programme were included in the study. The results demonstrated that interactive videoconferencing can provide a feasible and effective care delivery model. Patient attendance was maintained throughout the intervention. All participants showed improved fluency. Stuttering ranged from 13% to 36% before treatment and 2% to 26% after treatment. All participants maintained at least part of their improved fluency during the six-month follow-up, when stuttering ranged from 4% to 32%. The study demonstrates that full assessment and treatment of stuttering in children and adolescents can be accomplished successfully via telemedicine.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.151
Threshold uncertainty score0.329

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.063
GPT teacher head0.426
Teacher spread0.363 · 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