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Record W2142183672 · doi:10.1017/s0790966700010375

A needs analysis for the provision of a speech and language therapy service to adults with mental health disorders

2007· article· en· W2142183672 on OpenAlexaff
Irene Walsh, Julie Regan, Rebecca Sowman, Brian Parsons, AJ McKay

Bibliographic record

VenueIrish Journal of Psychological Medicine · 2007
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsTrinity College
Fundersnot available
KeywordsSwallowingTest (biology)MedicineMental healthSpeech-Language PathologySample (material)PopulationPsychiatryService (business)PsychologyAudiologyPhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVES: To examine a sample of adults with mental health disorders attending at an area psychiatric service, for the presence of impairments in language, communication and swallowing, using a test battery administered by speech and language therapists. METHOD: The study surveyed a randomly selected sample (n = 60) of patients from an acute psychiatric inpatient unit and associated community services, using several standardised measures of language, communication and swallowing. RESULTS: On this test battery, over 80% (50/60) of subjects studied demonstrated impairment in language; while over 60% (37/60) presented with impairment in communication and discourse. Over 30% (18/58) of subjects assessed showed some impairment in swallowing. CONCLUSION: Use of this test battery confirmed the presence of language, communication and swallowing impairments in many patients in this sample of attenders at a general psychiatry service. We suggest that this study provides evidence for a (currently unmet) need for specialist speech and language therapy assessment and support among this patient population.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score0.186

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.045
GPT teacher head0.421
Teacher spread0.376 · 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

Citations12
Published2007
Admission routes1
Has abstractyes

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