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The working practices and clinical experiences of paediatric speech and language therapists: a national UK survey

2012· article· en· W1899825848 on OpenAlexaboutno aff
Tim Pring, Emma Flood, Barbara Dodd, Victoria L. Joffe

Bibliographic record

VenueInternational Journal of Language & Communication Disorders · 2012
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PsychologySpeech TherapistSpeech-Language PathologyService (business)Medical educationComputer-assisted web interviewingMedicineNursingSpeech therapyPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: The majority of speech and language therapists (SLTs) work with children who have speech, language and communication needs. There is limited information about their working practices and clinical experience and their views of how changes to healthcare may impact upon their practice. AIMS: To investigate the working practices and professional experiences of paediatric SLTs working in the UK through an online survey. METHODS & PROCEDURES: The survey was conducted online using Survey Monkey. Therapists were alerted to the survey through the Bulletin of the Royal College of Speech and Language Therapists and by e-mails to national special interest groups. OUTCOMES & RESULTS: A total of 516 clinicians completed the survey. A large majority worked in the National Health Service (NHS). A varied pattern of working was revealed. Most worked in several settings and saw a range of clients. A typical clinician spends less than one-quarter of their time giving direct therapy and more than one-quarter training parents and other professionals. Nearly half of respondents felt that their time could be better used. Too little time for direct therapy and the time required for administration emerged as their principal concerns. Most clinicians have specialist knowledge of particular client groups and spend more time with them than do non-specialists. Nevertheless, clients are more likely to be treated by a therapist who does not claim to have specialist knowledge of their condition than by one who does. The only clients for whom this is not the case are those with dysphagia. Eighty per cent of respondents felt that proposed changes to the NHS would not benefit the children they treat and there was widespread concern about cuts and the effects of general practitioner commissioning. Despite this, a large majority expected to remain speech and language therapists 5 years from now. CONCLUSIONS & IMPLICATIONS: This survey provides an overview of the working practices of paediatric speech and language therapists. Its findings have significant implications for training and workforce development in the profession.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.085
GPT teacher head0.504
Teacher spread0.418 · 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 source (direct Gemma or distilled Codex), 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

Citations44
Published2012
Admission routes1
Has abstractyes

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