Health economic modelling in Cystic Fibrosis: A systematic review

Bishal Mohindru1, David Turner1, Tracey Sach1

  • 1Norwich Medical School, Norwich Research Park, University of East Anglia, Norwich, Norfolk NR4 7TJ, UK.

Insights

Health economic models for Cystic Fibrosis (CF) treatment are crucial for decision-making. This review highlights gaps in current CF modeling practices, particularly regarding significant health events and guideline adherence, to inform future research.

Area of Science:

  • Health Economics
  • Pharmacoeconomics
  • Biostatistics

Background:

  • Cystic Fibrosis (CF) is a genetic, chronic condition with significant treatment costs in the UK, averaging €49,000-€76,000 annually per patient.
  • A comprehensive understanding of health economic modeling practices in CF is needed for effective decision-making and research guidance.

Purpose of the Study:

  • To review and analyze health economic modeling studies for Cystic Fibrosis (CF) management.
  • To identify current modeling practices, their strengths, and limitations.

Main Methods:

  • A systematic online search of five databases was conducted.
  • Studies included were model-based economic evaluations for CF management, restricted to English language publications.

Main Results:

  • Nine studies were reviewed, predominantly using Markov cohort models to evaluate pharmaceutical interventions and drug adherence.
  • Most models shared consistent structures but varied in data sources and utility elicitation methods.
  • A significant limitation identified was the failure of most models to incorporate major health events impacting cost and disease progression.

Conclusions:

  • Current CF economic models often lack adherence to European Medicines Agency (EMA) guidelines for clinical trial endpoints and justification for model structures.
  • There is a need for improved utility data related to significant health events.
  • Future research should focus on conceptualizing CF progression, valuing key health events, and aligning with EMA reporting guidelines.
Abstract

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