A meta-regression analysis of utility weights for breast cancer: The power of patients’ experience

Ji Ryoun Gong, Juhee Han, Donghwan Lee, Seungjin Bae

Research output: Contribution to journalArticlepeer-review


To summarize utility estimates of breast cancer and to assess the relative impacts of study characteristics on predicting breast cancer utilities. We searched Medline, Embase, RISS, and KoreaMed from January 1996 to April 2019 to find literature reporting utilities for breast cancer. Thirty-five articles were identified, reporting 224 utilities. A hierarchical linear model was used to conduct a meta-regression that included disease stages, assessment methods, respondent type, age of the respondents, and scale bounds as explanatory variables. The utility for early and late-stage breast cancer, as estimated by using the time-tradeoff with the scales anchored by death to perfect health with non-patients, were 0.742 and 0.525, respectively. The severity of breast cancer, assessment method, and respondent type were significant predictors of utilities, but the age of the respondents and bounds of the scale were not. Patients who experienced the health states valued 0.142 higher than did non-patients (P <0.001). Besides the disease stage, the respondent type had the highest impact on breast cancer utility.

Original languageEnglish
Article number9412
Pages (from-to)1-17
Number of pages17
JournalInternational Journal of Environmental Research and Public Health
Issue number24
StatePublished - 2 Dec 2020

Bibliographical note

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.


  • Breast cancer
  • Meta-regression
  • Preferences
  • Quality of life
  • Utility


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