ArticleInnovations in pharmacy2018
CVS Health and the Imaginary Worlds of the Institute for Clinical and Economic Review (ICER).
Article in Innovations in pharmacy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- Medicaid Formulary Decisions and the Institute for Clinical and Economic Review: Abandoning Pseudoscience in Imaginary Pharmaceutical Pricing Claims.Innovations in pharmacy · 2021Article
- Nonsense on Stilts - Part 1: The ICER 2020-2023 Value Assessment Framework for Constructing Imaginary Worlds.Innovations in pharmacy · 2020Article
- ICER, ISPOR AND QALYs: Tales of Imaginary Worlds.Innovations in pharmacy · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In August 2018, CVS Health released a position paper detailing policies in place and those being implemented to help reduce the costs of drugs. This paper introduced three new strategies for reducing costs. These are (i) zero out of pocket costs for chronic disease through a preventive drug list; (ii) reducing the launch price through adoption of modeled cost-per-QALY outcomes by the Institute for Clinical and Economic Review (ICER) to guide clients to exclude drugs launched at a price of greater than $100,000 per QALY; and (iii) introducing tools to be used by doctors, pharmacists and consumers to create greater transparency in understanding the real cost of drugs. The purpose of this commentary is to consider the second of these strategies, the application of a willingness to pay threshold as a viable strategy for impacting launch costs. The arguments presented here are that while modeled cost-per-QALY claims are a staple of formulary committee deliberations in many single payer health systems, their adoption by CVS Health fails to take into account not only the imaginary nature of the modeled construct utilized to generate the cost-per-QALY estimate and its shortcomings but the fact that alternative model structures may render invalid the application of willingness-to-pay thresholds. The case is made that CVS Health could adopt a more rigorous process of formulary assessment to support both preliminary assessments of new products and also an ongoing process of formulary review that challenge manufacturers to justify pricing over product patent life. This process should capitalize on the development of formulary evaluation platforms, potentially involving blockchain technology and smart contracting, for therapy interventions in targeted patient populations. Introducing a more rigorous formulary process, in particular the requirement for claims evaluation protocols, will not only assist CVS Health in restraining price increases over the life of the product but, for the first time in the US, put manufacturers on notice that patently unreasonable pricing policies and claims for product performance can be systematically and effectively challenged.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.