Prospective observational study estimating willingness-to-pay for breast cancer treatments through contingent valuation method in Japanese breast cancer patients (JCOG1709A)

Tsuguo Iwatani, Fumikata Hara, Tadahiko Shien, Keita Sasaki, Hiroshi Katayama, Haruhiko Fukuda, Takeru Shiroiwa, Hiroji Iwata

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In April 2016, the Japanese government introduced health technology assessment as a response to rising medical expenses due to 'medical innovation'. This study investigates how Japanese breast cancer patients who received treatment in Japan consider the financial value (willingness-to-pay; WTP) for their life and health by using the contingent valuation method (CVM) prospectively. First, 168 patients (84 primary breast cancer patients and 84 metastatic breast cancer patients) were pre-examined their WTP with dichotomous-choice method survey form. Next, 1,596 patients (798 primary breast cancer patients and 798 metastatic breast cancer patients) will be surveyed to their WTP for hypothetical scenarios in CVM. Based on our results, we will construct an evaluation axis from the patients' viewpoint for the cost-effectiveness of clinical trials to establish standard treatments for breast cancer. We believe this research can contribute to create a meaningful healthcare system for patients, clinicians, industries, and healthcare policymakers.

Original languageEnglish
Pages (from-to)498-503
Number of pages6
JournalJapanese journal of clinical oncology
Volume51
Issue number3
DOIs
Publication statusPublished - Mar 1 2021

Keywords

  • Japanese
  • breast cancer treatment
  • contingent valuation method
  • willingness-to-pay

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

Fingerprint

Dive into the research topics of 'Prospective observational study estimating willingness-to-pay for breast cancer treatments through contingent valuation method in Japanese breast cancer patients (JCOG1709A)'. Together they form a unique fingerprint.

Cite this