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Drug Cost-Effectiveness Assessments Require Standards for Rigor and Inclusion.

Tia Goss SawhneyNeil Thakur
Published in: Journal of health economics and outcomes research (2023)
The Institute for Clinical and Economic Review (ICER), a nonprofit, nongovernmental organization, is the predominant independent price assessor in the United States. ICER's cost effectiveness assessments are increasingly being used to support health insurance coverage and healthcare policy decisions. ICER often does not apply rigorous data quality and inclusion criteria to either the assumptions embedded within their cost-effectiveness models or the data inputted into the models. Poor quality assumptions and data can lead to poor quality assessments. ICER should re-evaluate their reliance on quality adjusted life-years and equal value of life years gained as measures of drug effectiveness, establish data quality and inclusiveness minimum standards, produce cost-effectiveness assessments only when the minimum data is available, and prominently report data quality and inclusion limitations. These changes will increase the rigor and inclusiveness of drug price assessments and support sustainable access to high-value care for all Americans.
Keyphrases
  • healthcare
  • electronic health record
  • health insurance
  • big data
  • quality improvement
  • public health
  • mental health
  • adverse drug
  • machine learning
  • drug induced
  • deep learning
  • social media