Patient Preferences in Targeted Pharmacotherapy for Cancers: A Systematic Review of Discrete Choice Experiments

Shan Jiang1, Ru Ren2,3,4,5, Yuanyuan Gu6

  • 1School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.

Pharmacoeconomics
|November 13, 2022
PubMed
Abstract

Insights

Patients prioritize outcomes and cost over process in targeted cancer therapy. They are willing to pay for increased progression-free and overall survival, highlighting key preferences for treatment decisions.

Area of Science:

  • Oncology
  • Health Economics
  • Patient-Reported Outcomes

Background:

  • Targeted pharmacotherapy offers breakthroughs in cancer treatment, yet patient preferences regarding cost, efficacy, and adverse events remain under-explored.
  • Investigating patient choices is crucial to address unmet needs in cancer care.
  • Discrete Choice Experiments (DCEs) are valuable tools for eliciting patient preferences in healthcare.

Approach:

  • A systematic review of DCE studies on targeted cancer therapy was conducted, searching major databases up to August 2022.
  • Attributes were categorized into outcomes, costs, and process, with relative importance and willingness-to-pay (WTP) for survival synthesized.
  • Study quality was assessed using the PREFS checklist, and the impact of non-responses was examined.

Key Points:

  • 34 eligible DCE studies from 13 countries covering 14 cancer types were identified, with a notable increase in publications after 2018.
  • Patients consistently weighted outcomes (e.g., overall survival) and costs higher than process attributes.
  • Average willingness-to-pay was $561 for a 1-month increase in progression-free survival and $716 for overall survival.

Conclusions:

  • This is the first systematic review synthesizing patient preferences for targeted cancer therapy using DCEs.
  • Evidence synthesis of attribute relative importance and WTP provides insights for stakeholders.
  • Further high-quality studies are needed to enhance decision-making in targeted cancer therapy.

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