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Record W4281718991 · doi:10.51731/cjht.2022.356

Utilization of Old- Versus New-Generation Biologics for Plaque Psoriasis for Public and Private Payers in Canada

2022· article· en· W4281718991 on OpenAlexaffabout
Peter Dyrda, Christopher Vannabouathong, Kevin J. Peter, Nick Bansback, Mina Tadrous

Bibliographic record

VenueCanadian Journal of Health Technologies · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsCanadian Institute for Health Information
Fundersnot available
KeywordsBiosimilarMedicineFormularyUstekinumabGeneric drugOrphan drugFamily medicineInfliximabPharmacologyDrugInternal medicine

Abstract

fetched live from OpenAlex


 Issue: Recent health technology reviews by CADTH, including a national Environmental Scan of biologics for PsO across public drug plans and a review of the clinical evidence on the comparative effectiveness of biologics for PsO, have suggested that the appropriate use of biologics for the treatment of plaque psoriasis (PsO) may favour new-generation biologics (i.e., anti-interleukin [IL]-17 and anti-IL-23 inhibitors) over old-generation biologics (i.e., anti–tumour necrosis factor and anti-IL-12/23 biologics). Specifically, these reviews found:
 
 New-generation biologics for PsO consistently demonstrated greater efficacy compared to old-generation biologics in recent head-to-head trials (e.g., AMAGINE-2 and AMAGINE−3, FIXTURE, IMMvent, NAVIGATE, UltIMMA-1 and UltIMMA−2, UNCOVER-2 and UNCOVER-3, and VOYAGE-1 and VOYAGE−2).
 Formulary listings of the old-generation biologics mostly predate any pan-Canadian Pharmaceutical Alliance (pCPA) agreements, which increases the likelihood of fewer product listing agreements (PLAs) with public payers for these drugs, whereas all new-generation biologics have all undergone pCPA negotiations. For private payer formulary listings, PLAs are not publicly disclosed although, according to the Canadian Life and Health Insurance Association (CLHIA), they are likely to occur.
 Old-generation biologics have reached the expiration of their exclusivity periods (i.e., time when an originator biologic is protected from biosimilar competition), whereas all new-generation biologics currently have active exclusivity status.
 
 
 
 
 Approach: A national utilization study was conducted to assess the utilization patterns of old- versus new-generation biologics in PsO for both public payers (using Canadian Institute for Health Information [CIHI] data) and private payers (using Reformulary and CLHIA data), prescribing patterns (market share and average costs) for old- versus new-generation biologics for both public and private insurance among new and existing users, and expenditures (excluding PLAs) on biologics for PsO after LoE by public and private payers.
 Findings:
 
 Although new-generation biologics in PsO are associated with greater efficacy, approximately 44% of patients newly initiating a biologic across public and private drug plans in Canada were prescribed an old-generation biologic in 2020.
 Average annual cost per new patient was typically higher for old-generation originator biologics (range = $11,645 to $16,047) versus new-generation biologics (range = $8,303 to $15,229) across public payers. Ustekinumab is associated with the highest cost estimate among new patients within public drug plans and, despite having expired exclusivity status, does not have a marketed biosimilar option available.
 Canadian taxpayers (i.e., public and private drug spending) have spent up to $9 billion (gross expenditures) on all claims for originator biologics indicated for PsO that have lost exclusivity between 2016 and 2020. To put this in perspective, analyses of data from the National Prescription Drug Utilization Information System (NPDUIS) revealed that, in Canada, spending on oncology drugs in the latest reported year (2019) was $3.9 billion and spending on the top 50 drugs in the 2019–2020 fiscal year was $4.3 billion.
 
 
 Implications for policy-makers: Given the potential for improved efficacy and lower costs of new-generation biologics, the promotion of the appropriate use of biologics in PsO should be considered by payers.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.950
Threshold uncertainty score0.821

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)0.0000.000

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 head0.133
GPT teacher head0.317
Teacher spread0.184 · 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 designNot applicable
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

Citations1
Published2022
Admission routes2
Has abstractyes

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