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A Meta-Regression Analysis of Utility Weights for Breast Cancer: The Power of Patients' Experience
- Title
- A Meta-Regression Analysis of Utility Weights for Breast Cancer: The Power of Patients' Experience
- Authors
- Gong, Jiryoun; Han, Juhee; Lee, Donghwan; Bae, Seungjin
- Ewha Authors
- 배승진; 이동환
- SCOPUS Author ID
- 배승진; 이동환
- Issue Date
- 2020
- Journal Title
- INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
- ISSN
- 1660-4601
- Citation
- INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH vol. 17, no. 24
- Keywords
- breast cancer; utility; preferences; quality of life; meta-regression
- Publisher
- MDPI
- Indexed
- SCIE; SSCI; SCOPUS
- Document Type
- Article
- Abstract
- 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.
- DOI
- 10.3390/ijerph17249412
- Appears in Collections:
- 약학대학 > 약학과 > Journal papers
- Files in This Item:
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ijerph-17-09412-v3.pdf(5.31 MB)
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