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

 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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".