Validation of the simplified Chinese version of the FACT-B for measuring quality of life for patients with breast cancer

  • Chonghua Wan
  • Dongmei Zhang
  • Zheng Yang
  • Xin Tu
  • Wan Tang
  • Changyong Feng
  • Hongyue Wang
  • Xueliang Tang
Clinical Trial

DOI: 10.1007/s10549-007-9511-1

Cite this article as:
Wan, C., Zhang, D., Yang, Z. et al. Breast Cancer Res Treat (2007) 106: 413. doi:10.1007/s10549-007-9511-1
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Abstract

The simplified Chinese version of the FACT-B was evaluated by QOL data measured from 376 patients with breast cancer. The results showed that test–retest reliability for five domains: physical well-being, social/family well-being, emotional well-being, functional well-being, additional concerns, and the overall scales and trial outcome index were 0.82, 0.85, 0.91, 0.86, 0.90, 0.84 and 0.91, 0.89 respectively. The internal consistency α for the five domains mentioned above were 0.85, 0.82, 0.84, 0.84 and 0.59 respectively. Correlation analysis, factor analysis and structural equation model showed good construct validity. Criterion-related validity was also confirmed using QLICP-BR as a criterion. The instrument can find the change of QOL for cancer patients after treatment. It’s concluded that the simplified Chinese version of FACT-B can be used to measure QOL for Chinese patients with breast cancer with good validity, reliability and responsiveness.

Keywords

Breast cancerFACT-BQLICP-BRQuality of lifeInstrumentStructural equation model

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Chonghua Wan
    • 1
    • 5
  • Dongmei Zhang
    • 2
  • Zheng Yang
    • 1
  • Xin Tu
    • 3
  • Wan Tang
    • 3
  • Changyong Feng
    • 3
  • Hongyue Wang
    • 3
  • Xueliang Tang
    • 4
  1. 1.Faculty of Public HealthKunming Medical CollegeKunmingChina
  2. 2.Department of ManagementGuangdong Pharmacy CollegeGuangzhouChina
  3. 3.Department of Biostatistics and Computational BiologyUniversity of RochesterRochesterUSA
  4. 4.Oncological Hospital of Yunnan ProvinceKunmingChina
  5. 5.Dept. of Biostatistics and Computational BiologyUniversity of RochesterRochesterUSA