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Record W2153769961 · doi:10.1185/030079904125003250

Generic replacement of clozapine: a simple decision model from a Canadian perspective

2004· article· en· W2153769961 on OpenAlexaffabout
Stephen Layton, M Barbeau

Bibliographic record

VenueCurrent Medical Research and Opinion · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsNovartis (Canada)Royal Ottawa Mental Health Centre
Fundersnot available
KeywordsClozapineMedicineSchizophrenia (object-oriented programming)Incidence (geometry)Psychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: Increased incidence of relapse has been differences in relapse incidence. The difference at reported upon switching patients with schizophrenia from brand name to generic clozapine. The cost of treating relapsed patients could offset the reduced drug acquisition cost associated with switching. A decision model was designed to predict the relapse incidence at which switching to generic clozapine is cost-neutral. RESEARCH DESIGN AND METHODS: A hypothetical cohort of 100 patients with schizophrenia stabilized on brand name clozapine was considered either to remain on the brand name product, or to switch to the generic version. Medication effectiveness data were taken from two reports following patients who underwent generic replacement of clozapine. Direct costs associated with each treatment were projected from a Canadian Ministry of Health perspective, considering drug acquisition and treatment of relapse. Unit costs were derived from published sources. MAIN OUTCOME MEASURES: Direct costs of the two treatment regimens were compared based on which switching to generic clozapine would result in no direct cost saving was determined. RESULTS: Switching a patient to generic clozapine would save 1241 Canadian dollars annually if the patient did not relapse, and would cost 9823 Canadian dollars if the patient relapsed. Assuming an 11% difference in relapse for patients taking brand name and generic clozapine, respectively, switching 100 patients to generic clozapine would save 24 Canadian dollars per patient. If the relapse difference for patients taking generic clozapine is 28%, the switch to the generic medication would cost 1857 Canadian dollars per patient. Switching patients from brand name clozapine to generic clozapine was predicted to be neutral to direct costs when the absolute difference in relapse incidence was 11.2%. CONCLUSIONS: Switching to a generic medication may not always reduce direct costs. Physicians, patients and third party payers should consider the potential consequences before instituting generic replacement of clozapine for economic reasons.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.951

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.222
GPT teacher head0.446
Teacher spread0.224 · 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 designTheoretical or conceptual
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

Citations8
Published2004
Admission routes2
Has abstractyes

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