ArticleInnovations in pharmacy2020
The Impossible QALY and the Denial of Fundamental Measurement: Rejecting the University of Washington Value Assessment of Targeted Immune Modulators (TIMS) in Ulcerative Colitis for the Institute for Clinical and Economic Review (ICER).
Article in Innovations in pharmacy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 6 citations in OpenAlex.
- Let a Thousand Models Bloom: ICER Analytics Opens the Floodgates to Cloud Pseudoscience.Innovations in pharmacy · 2021Article
- Medicaid Formulary Decisions and the Institute for Clinical and Economic Review: Abandoning Pseudoscience in Imaginary Pharmaceutical Pricing Claims.Innovations in pharmacy · 2021Article
- Supping with the Devil: Belief and the Imaginary World of Multiple Myeloma Therapies Invented by the Institute for Clinical and Economic Review.Innovations in pharmacy · 2021Article
- Value Assessment, Real World Evidence and Fundamental Measurement: Version 3.0 of the Minnesota Formulary Submission Guidelines.Innovations in pharmacy · 2020Article
- To Dream the Impossible Dream: The Commitment by the Institute for Clinical and Economic Review to Rewrite the Axioms of Fundamental Measurement for Hemophilia A and Bladder Cancer Value Claims.Innovations in pharmacy · 2020Article
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
All too often organizations embrace standards for health technology assessment that fail to meet the standards of normal science. A continuing puzzle is why the axioms of fundamental measurement are ignored by researchers such as the University of Washington Model Group in constructing lifetime cost-per-QALY claims. The University of Washington Model Group is not alone; it is an accepted article of faith that multiattribute utility scales can be manipulated as if they had ratio scale properties, which they do not. This commitment to pseudoscientific claims, embracing intelligent design rather than natural selection, is endorsed by professional groups such as ISPOR as well as by self-appointed arbiters of value assessment such as ICER. Perhaps the answer is peer pressure rather than ignorance of the axioms of fundamental measurement. More to the point, if you have been an advocate of imaginary simulations a Damascene epiphany creates both psychological and professional challenges. After all, if cost-per-QALY constructs are rejected, then it is difficult to see what options there are for those attempting to model cost-effectiveness claims. If it is just ignorance of the axioms of fundamental measurement then a reasonable question is why these axioms, readily available on any number of internet sites, are ignored in health technology assessment programs. The purpose of this commentary is to review the ICER September 11
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.