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Record W2014167336 · doi:10.1192/pb.30.11.406

Clinic assessment for methylphenidate maintenance therapy in secondary care: are parental questionnaires useful?

2006· article· en· W2014167336 on OpenAlexaff
David Foreman, Alexis Beedie, Ranjit Kapuge

Bibliographic record

VenuePsychiatric Bulletin · 2006
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsSunny Hill Health Centre for ChildrenSKiN Health
Fundersnot available
KeywordsMethylphenidateHyperkinesisMedicineStrengths and Difficulties QuestionnaireClinical psychologyTest (biology)PsychiatryPsychologyPediatricsAttention deficit hyperactivity disorderMental health

Abstract

fetched live from OpenAlex

Aims and Method There is poorer control of hyperactivity symptoms in community clinics than research settings, and difficulty in detecting such symptoms without standardised measures. Hyperkinetic children (n=29) were evaluated at follow-up using the parental version of the Strengths and Difficulties Questionnaire (SDQ) and, independently, routine clinic reports to test the value of a parental questionnaire. Results The parental SDQ identified symptoms in more patients (25, 86% v. 13, 45%), but high levels of symptoms did not necessarily imply impairment. Even clinically identified hyperactivity provoked no change in treatment. Clinical Implications Parental questionnaires alone are unlikely to improve clinic practice. Research is needed into what factors influence clinical decisions regarding treatment maintenance for hyperkinesis, and the adaptation of structured protocols from major research trials should be considered.

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)0.010
metaresearch head score (Gemma)0.033
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 score0.010
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.021
GPT teacher head0.330
Teacher spread0.309 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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