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Record W2107842992 · doi:10.1192/bjp.195.52.s37

Antipsychotic long-acting injections: Prescribing practice in the UK

2009· article· en· W2107842992 on OpenAlexaboutno aff
Thomas R. E. Barnes, Amber Shingleton‐Smith, Carol Paton

Bibliographic record

VenueThe British Journal of Psychiatry · 2009
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
FundersServierJohnson and JohnsonImperial College London
KeywordsRisperidoneAntipsychoticMedicineSchizophrenia (object-oriented programming)PsychiatryQuarter (Canadian coin)Ethnic groupAuditMental healthHaloperidolPediatricsInternal medicineDopamine

Abstract

fetched live from OpenAlex

BACKGROUND: Data from the USA, Australia and Europe suggest that the proportion of patients with schizophrenia prescribed an antipsychotic long-acting injection (LAI) varies from around a quarter to a third. Use of LAIs has been associated with male gender and younger age. AIMS: To characterise the use of LAIs in people with schizophrenia in three clinical settings in the UK. METHOD: The study used audit data from quality improvement programmes conducted by the Prescribing Observatory for Mental Health. RESULTS: Long-acting injections were found to be prescribed for between a quarter and a third of patients, depending on the clinical setting. Flupentixol, risperidone and zuclopenthixol were most commonly prescribed and were combined with an oral antipsychotic in half of cases, frequently constituting high-dose prescribing. The use of LAIs was not consistently associated with age, gender or ethnicity. CONCLUSIONS: Antipsychotic LAIs are commonly prescribed. We did not replicate previous findings with respect to demographic variables associated with their use.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.778
Threshold uncertainty score0.412

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.022
GPT teacher head0.327
Teacher spread0.305 · 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

Citations115
Published2009
Admission routes1
Has abstractyes

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