Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
One of the signal failures in health technology assessment is the absence of consideration given, not only to the standards of normal science, but to those of fundamental measurement. A recent evidence report by the Institute for Clinical and Economic Review (ICER) is emblematic of this failure. Based on a simple linear regression model that translates aggregate scores from the ordinal Menopause-specific Quality of Life Questionnaire (MENQOL) to the ordinal EuroQol EQ-5D-5L, ICER has applied these scores to an assumption driven model simulation to produce preferences, QALYs and incremental cost-per-QALY claims for fezolinetant for moderate to severe symptoms associated with menopause. Unfortunately, the attempt to crosswalk multidimensional or multiattribute ordinal scores is mathematically impossible. The 'created' EQ-5D-5L preferences are, as a result, of no interest. The overall result is that the ICER modelled claims for cost-effectiveness fail the required standards for normal science and fundamental measurement. fundamental are impossible. This is unfortunate, although it might be possible to assess certain domains of the MENQOL for their approximation to an interval score with the application of the Rasch Rating Scale Model, this will not support quality of life claims. A preferred approach would be to consider an alternative latent trait for quality of life in menopause, applying Rasch Measurement Theory (RMT), to develop a polytomous instrument that has the required measurement properties. The purpose of this commentary is to point out, as a number of previous commentaries have done, that this framework for creating assumption driven simulated modelled claims has no role in decisions for product assessment, access to formulary and pricing. This commentary expands upon these previous commentaries in placing RMT is the context of a needed paradigm shift to support the evolution of objective knowledge. This is critical if we are to understand, from the individual's perspective, not only an accurate assessment of the burden of menopause but to see this as part of an on-going research program that has to rely on fundamental measurement.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686681 | PMC |
http://dx.doi.org/10.24926/iip.v14i1.5118 | DOI Listing |
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