Skip to main content

Advertisement

Log in

Development and validation of the system of quality of life instruments for cancer patients: breast cancer (QLICP-BR)

  • Original Article
  • Published:
Supportive Care in Cancer Aims and scope Submit manuscript

Abstract

Goals

To develop and validate a quality of life (QOL) instrument for patients with breast cancer, QLICP-BR, which is one of the system of QOL instruments for cancer patients in China.

Methods

Using the programmed decision methods of instrument development, the quality of life instrument for cancer patients-breast cancer (QLICP-BR) with considering Chinese cultural background was developed, and evaluated on the data from 186 inpatients with breast cancer. The statistical methods used in this research included statistical description, Pearson correlation, factor analysis, and paired t test.

Results

The test–retest reliability for the overall scale and five domains are all above 0.75. Internal consistency α for each domain is higher than 0.65 except social domain (0.58). Most correlation coefficients between each item and it’s domain are above 0.60. The scores differences between pretreatment and post-treatment for overall scale, general module, physical domain, psychological domain and social domain have statistical significance.

Conclusions

The QLICP-BR is of good validity, reliability, and reasonable responsiveness, and can be used to assess quality of life for patients with breast cancer in China.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Aaronson NK, Ahmedzai S, Bergman B, Bullinger M, Cull A, Duez NJ, Filiberti A, Flechtner H, Fleishman SB, de Haes JC, Kaasa S, Klee M (1993) The European Organization for Research and Treatment of Cancer QLQ-C30: a quality of life instrument for use in international clinical trials in oncology. J Natl Cancer Inst 85:365–376

    Article  PubMed  CAS  Google Scholar 

  2. Anderson JJ, Chernoff MC (1993) Sensitivity to change of rheumatoid arthritis clinical trial outcome measures. J Rheumatol 20:535–537

    PubMed  CAS  Google Scholar 

  3. Brady MJ, Cella DF, Mo F, Bonomi AE, Tulsky DS, Lloyd SR, Deasy S, Cobleigh M, Shiomoto G (1997) Reliability and validity of the functional assessment of cancer therapy-breast quality-of-life instrument. J Clin Oncol 15(3):974–986

    PubMed  CAS  Google Scholar 

  4. Cella DF, Tulsky DS, Gray G, Sarafian B, Linn E, Bonomi A, Silberman M, Yellen SB, Winicour P, Brannon J (1993) The functional assessment of cancer therapy scale: development and validation of the general measure. J Clin Oncol 11(3):570–579

    PubMed  CAS  Google Scholar 

  5. Hunt SM, Mckznna SP, Mcewen J, Williams J, Papp E (1981) The Nottingham Health Profile: subjective health status and medical consultations. Soc Sci Med 15:221–229

    CAS  Google Scholar 

  6. Husted JA, Cook RJ, Farewell VT, Gladman DD (2000) Methods for assessing responsiveness: a critical review and recommendations. J Clin Epidemiol 53:459–468

    Article  PubMed  CAS  Google Scholar 

  7. McGraw KO, Wong SP (1996) Forming inferences about some intraclass correlation coefficients. Psychol Methods 1(1):30–46

    Article  Google Scholar 

  8. Norman GR, Stratford P, Regehr G (1997) Methodological problems in the retrospective computation of responsiveness to change: the lesson of Cronbach. J Clin Epidemiol 50:869–879

    Article  PubMed  CAS  Google Scholar 

  9. Selby PJ, Champon JA, Etazadi-Amoli J, Dalley D, Boyd NF (1984) The development of a method for assessing the quality of life of cancer patients. Br J Cancer 50(1):13–22

    PubMed  CAS  Google Scholar 

  10. Schuck P (2004) Assessing reproducibility for interval data in health-related quality of life questionnaires: which coefficient should be used? Qual Life Res 13:571–586

    Article  PubMed  Google Scholar 

  11. Sprangers MA (1996) The European Organization for Research and Treatment of Cancer breast cancer-specific quality-of-life questionnaire module: first results from a three-country field study. J Clin Oncol 14(10):2756–2768

    PubMed  CAS  Google Scholar 

  12. Stewart AL, Hays RD, Ware JE Jr (1988) The MOS short-form general health survey. Reliability and validity in a patient population. Med Care 26:724–735

    Article  PubMed  CAS  Google Scholar 

  13. Terwee CB, Dekker FW, Wiersinga WM, Prummel MF, Bossuyt PM (2003) On assessing responsiveness of health-related quality of life instruments: guidelines for instrument evaluation. Qual Life Res 12:349–363

    Article  PubMed  CAS  Google Scholar 

  14. The WHOQOL Group (1998) The Word Health Organization Quality of Life assessment (WHOQOL): devolvement and psychometric properties. Soc Sci Med 46(12):1569–1585

    Article  Google Scholar 

  15. Wan C, Luo J, Yang Z, Meng Q, Zhang X, Lu Y, Tang X, Zhang C (2007) Development of the general module of the system of quality of life instruments for cancer patients: responsiveness analysis (in Chinese). Chin J Cancer 26(4):337–340

    Google Scholar 

  16. Wan C, Luo J, Zhang C, Tang X, Chen M, Song Y (2003) Study on the system of quality of life instruments for cancer patients (QLICP) (in Chinese). Chin J Behav Med Sci 12(3):341–342

    Google Scholar 

  17. Wan C, Meng Q, Luo J, Tang X, Zhang C, Lu Y, Yang Z, Zhang X (2007) Development of the general module of the system of quality of life instruments for cancer patients: items selection and structure of the general module (in Chinese). Chin J Cancer 26(2):113–117

    Google Scholar 

  18. Wan C, Meng Q, Tang X, Zhang C, Lu Y, Luo J, Yang Z, Zhang X (2007) Development of the general module of the system of quality of life instruments for cancer patients: reliability and validity analysis (in Chinese). Chin J Cancer 26(3):225–229

    Google Scholar 

  19. Wan C, Tang X, Tu X, Feng C, Messing S, Meng Q, Zhang X (2007) Psychometric properties of the simplified Chinese version of the EORTC QLQ-BR53 for measuring quality of life for breast cancer patients. Breast Cancer Res Treat 105(2):187–193

    Article  PubMed  Google Scholar 

  20. Wan C, Yang Z, Meng Q, Feng C, Wang H, Tang X, Zhang C, Lu Y, Luo J, Zhang X (2008) Development and validation of the general module of the system of quality of life instruments for cancer patients (QLICP-GM). Int J Cancer 122(1):190–196

    Article  PubMed  CAS  Google Scholar 

  21. Wan C, Zhang D, Yang Z, Tu X, Tang W, Feng C, Wang H, Tang X (2007) Validation of the simplified Chinese version of the FACT-B for measuring quality of life for patients with breast cancer. Breast Cancer Res Treat 106(3):413–418

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

In carrying out this research project, we have received substantial assistance from Neil Aaronson, Mirjam Sprangers, Christiane van Pottelsberghethe, Karen West and Linda Dewolf at EORTC, from David Cella, Sonya Eremenco, Benjamin J. Arnold and Hiramatsu Toshiko at CORE, Evanston–Northwestern Healthcare, and also from staffs of the Yunnan Tumor Hospital, and Keith J Bourgeois and Xin Tu at the University of Rochester. We sincerely appreciate their kind help.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chonghua Wan.

Additional information

Supported by the National Natural Science Foundation of China (30360092) and the Natural Sciences Funds of Yunnan Province (99C0016G).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wan, C., Yang, Z., Tang, X. et al. Development and validation of the system of quality of life instruments for cancer patients: breast cancer (QLICP-BR). Support Care Cancer 17, 359–366 (2009). https://doi.org/10.1007/s00520-008-0478-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00520-008-0478-1

Keywords

Navigation