Skip to main content
Top
Published in: Supportive Care in Cancer 12/2014

01-12-2014 | Original Article

Which quality of life instruments are preferred by cancer patients in Japan? Comparison of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30 and the Functional Assessment of Cancer Therapy-General

Authors: Kazuki Sato, Megumi Shimizu, Mitsunori Miyashita

Published in: Supportive Care in Cancer | Issue 12/2014

Login to get access

Abstract

Purpose

We compared two health-related quality of life (HRQOL) instruments used for cancer patients [the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30 (EORTC QLQ-C30) and the Functional Assessment of Cancer Therapy-General (FACT-G)] to identify which instrument cancer patients most preferred.

Methods

Adult cancer patients who had received cancer treatments within the previous 2 years (n = 395) completed both surveys; participants assessed the importance, necessity, and appropriateness of each as an indicator of their quality of life.

Results

The patients significantly preferred the FACT-G over the EORTC QLQ-C30 as a more important (effect size (ES) = 0.37, P < 0.001), necessary (ES = 0.18, P < 0.001), and appropriate questionnaire (ES = 0.14, P = 0.005). The subgroups of patients with good performance status, and those who reported low levels of work disruption, significantly preferred the FACT-G more than the other. The corresponding correlation coefficients were the following: physical functioning and well-being subscale, r = 0.65; emotional functioning and well-being subscale, r = 0.60; social functioning and social/family well-being subscale, r = 0.00; and role functioning and functional well-being subscale, r = 0.41.

Conclusions

We recommend using the FACT-G if the performance status of the subject is good, e.g., in outpatient or cancer survivor surveys, based on the observed patient preferences. When performance status is not good, an instrument should be chosen after considering the differences between their scale structures and social domains and based on the availability of disease-specific modules.
Literature
1.
go back to reference Aaronson NK, Ahmedzai S, Bergman B, Bullinger M, Cull A, Duez NJ, Filiberti A, Flechtner H, Fleishman SB, de Haes JC et al (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 85:365–376PubMedCrossRef Aaronson NK, Ahmedzai S, Bergman B, Bullinger M, Cull A, Duez NJ, Filiberti A, Flechtner H, Fleishman SB, de Haes JC et al (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 85:365–376PubMedCrossRef
2.
go back to reference Cella DF, Tulsky DS, Gray G, Sarafian B, Linn E, Bonomi A, Silberman M, Yellen SB, Winicour P, Brannon J et al (1993) The Functional Assessment of Cancer Therapy scale: development and validation of the general measure. J Clin Oncol 11:570–579PubMed Cella DF, Tulsky DS, Gray G, Sarafian B, Linn E, Bonomi A, Silberman M, Yellen SB, Winicour P, Brannon J et al (1993) The Functional Assessment of Cancer Therapy scale: development and validation of the general measure. J Clin Oncol 11:570–579PubMed
3.
go back to reference Cocks K, King MT, Velikova G, Martyn St-James M, Fayers PM, Brown JM (2011) Evidence-based guidelines for determination of sample size and interpretation of the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire Core 30. J Clin Oncol 29:89–96PubMedCrossRef Cocks K, King MT, Velikova G, Martyn St-James M, Fayers PM, Brown JM (2011) Evidence-based guidelines for determination of sample size and interpretation of the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire Core 30. J Clin Oncol 29:89–96PubMedCrossRef
4.
go back to reference Cohen J (1988) Statistical power analysis for the behavioral sciences. L. Erlbaum Associates, Hillsdale Cohen J (1988) Statistical power analysis for the behavioral sciences. L. Erlbaum Associates, Hillsdale
5.
go back to reference EORTC QLQ-C30 Quality of Life group. EORTC QLQ-C30. [cited 2013 Nov 1]; Available from: http://groups.eortc.be/qol/eortc-qlq-c30 EORTC QLQ-C30 Quality of Life group. EORTC QLQ-C30. [cited 2013 Nov 1]; Available from: http://​groups.​eortc.​be/​qol/​eortc-qlq-c30
6.
go back to reference FACIT.org. Overview. [cited 2013 NOV 1]; Available from: http://www.facit.org/FACITOrg/Overview FACIT.org. Overview. [cited 2013 NOV 1]; Available from: http://​www.​facit.​org/​FACITOrg/​Overview
7.
go back to reference Fumimoto H, Kobayashi K, Chang CH, Eremenco S, Fujiki Y, Uemura S, Ohashi Y, Kudoh S (2001) Cross-cultural validation of an international questionnaire, the General Measure of the Functional Assessment of Cancer Therapy scale (FACT-G), for Japanese. Qual Life Res 10:701–709PubMedCrossRef Fumimoto H, Kobayashi K, Chang CH, Eremenco S, Fujiki Y, Uemura S, Ohashi Y, Kudoh S (2001) Cross-cultural validation of an international questionnaire, the General Measure of the Functional Assessment of Cancer Therapy scale (FACT-G), for Japanese. Qual Life Res 10:701–709PubMedCrossRef
8.
go back to reference Groenvold M, Petersen MA, Aaronson NK, Arraras JI, Blazeby JM, Bottomley A, Fayers PM, de Graeff A, Hammerlid E, Kaasa S, Sprangers MA, Bjorner JB (2006) The development of the EORTC QLQ-C15-PAL: a shortened questionnaire for cancer patients in palliative care. Eur J Cancer 42:55–64PubMedCrossRef Groenvold M, Petersen MA, Aaronson NK, Arraras JI, Blazeby JM, Bottomley A, Fayers PM, de Graeff A, Hammerlid E, Kaasa S, Sprangers MA, Bjorner JB (2006) The development of the EORTC QLQ-C15-PAL: a shortened questionnaire for cancer patients in palliative care. Eur J Cancer 42:55–64PubMedCrossRef
9.
go back to reference Hedges LV, Olkin I (1985) Statistical methods for meta-analysis. Academic, Orlando Hedges LV, Olkin I (1985) Statistical methods for meta-analysis. Academic, Orlando
10.
go back to reference King MT, Stockler MR, Cella DF, Osoba D, Eton DT, Thompson J, Eisenstein AR (2010) Meta-analysis provides evidence-based effect sizes for a cancer-specific quality-of-life questionnaire, the FACT-G. J Clin Epidemiol 63:270–281PubMedCrossRef King MT, Stockler MR, Cella DF, Osoba D, Eton DT, Thompson J, Eisenstein AR (2010) Meta-analysis provides evidence-based effect sizes for a cancer-specific quality-of-life questionnaire, the FACT-G. J Clin Epidemiol 63:270–281PubMedCrossRef
11.
go back to reference Kobayashi K, Takeda F, Teramukai S, Gotoh I, Sakai H, Yoneda S, Noguchi Y, Ogasawara H, Yoshida K (1998) A cross-validation of the European Organization for Research and Treatment of Cancer QLQ-C30 (EORTC QLQ-C30) for Japanese with lung cancer. Eur J Cancer 34:810–815PubMedCrossRef Kobayashi K, Takeda F, Teramukai S, Gotoh I, Sakai H, Yoneda S, Noguchi Y, Ogasawara H, Yoshida K (1998) A cross-validation of the European Organization for Research and Treatment of Cancer QLQ-C30 (EORTC QLQ-C30) for Japanese with lung cancer. Eur J Cancer 34:810–815PubMedCrossRef
12.
go back to reference Luckett T, King MT, Butow PN, Oguchi M, Rankin N, Price MA, Hackl NA, Heading G (2011) Choosing between the EORTC QLQ-C30 and FACT-G for measuring health-related quality of life in cancer clinical research: issues, evidence and recommendations. Ann Oncol 22:2179–2190PubMedCrossRef Luckett T, King MT, Butow PN, Oguchi M, Rankin N, Price MA, Hackl NA, Heading G (2011) Choosing between the EORTC QLQ-C30 and FACT-G for measuring health-related quality of life in cancer clinical research: issues, evidence and recommendations. Ann Oncol 22:2179–2190PubMedCrossRef
13.
go back to reference Lunney JR, Lynn J, Foley DJ, Lipson S, Guralnik JM (2003) Patterns of functional decline at the end of life. JAMA 289:2387–2392PubMedCrossRef Lunney JR, Lynn J, Foley DJ, Lipson S, Guralnik JM (2003) Patterns of functional decline at the end of life. JAMA 289:2387–2392PubMedCrossRef
14.
go back to reference Seow H, Barbera L, Sutradhar R, Howell D, Dudgeon D, Atzema C, Liu Y, Husain A, Sussman J, Earle C (2011) Trajectory of performance status and symptom scores for patients with cancer during the last six months of life. J Clin Oncol 29:1151–1158PubMedCrossRef Seow H, Barbera L, Sutradhar R, Howell D, Dudgeon D, Atzema C, Liu Y, Husain A, Sussman J, Earle C (2011) Trajectory of performance status and symptom scores for patients with cancer during the last six months of life. J Clin Oncol 29:1151–1158PubMedCrossRef
15.
go back to reference Snyder CF, Dy SM, Hendricks DE, Brahmer JR, Carducci MA, Wolff AC, Wu AW (2007) Asking the right questions: investigating needs assessments and health-related quality-of-life questionnaires for use in oncology clinical practice. Support Care Cancer 15:1075–1085PubMedCrossRef Snyder CF, Dy SM, Hendricks DE, Brahmer JR, Carducci MA, Wolff AC, Wu AW (2007) Asking the right questions: investigating needs assessments and health-related quality-of-life questionnaires for use in oncology clinical practice. Support Care Cancer 15:1075–1085PubMedCrossRef
16.
go back to reference van den Beuken-van Everdingen MH, de Rijke JM, Kessels AG, Schouten HC, van Kleef M, Patijn J (2007) Prevalence of pain in patients with cancer: a systematic review of the past 40 years. Ann Oncol 18:1437–1449PubMedCrossRef van den Beuken-van Everdingen MH, de Rijke JM, Kessels AG, Schouten HC, van Kleef M, Patijn J (2007) Prevalence of pain in patients with cancer: a systematic review of the past 40 years. Ann Oncol 18:1437–1449PubMedCrossRef
17.
go back to reference Yanez B, Pearman T, Lis CG, Beaumont JL, Cella D (2013) The FACT-G7: a rapid version of the functional assessment of cancer therapy-general (FACT-G) for monitoring symptoms and concerns in oncology practice and research. Ann Oncol 24:1073–1078PubMedCrossRef Yanez B, Pearman T, Lis CG, Beaumont JL, Cella D (2013) The FACT-G7: a rapid version of the functional assessment of cancer therapy-general (FACT-G) for monitoring symptoms and concerns in oncology practice and research. Ann Oncol 24:1073–1078PubMedCrossRef
18.
go back to reference Zeng L, Bedard G, Cella D, Thavarajah N, Chen E, Zhang L, Bennett M, Peckham K, De Costa S, Beaumont JL, Tsao M, Danjoux C, Barnes E, Sahgal A, Chow E (2013) Preliminary results of the generation of a shortened quality-of-life assessment for patients with advanced cancer: the FACIT-Pal-14. J Palliat Med 16:509–515PubMedCrossRef Zeng L, Bedard G, Cella D, Thavarajah N, Chen E, Zhang L, Bennett M, Peckham K, De Costa S, Beaumont JL, Tsao M, Danjoux C, Barnes E, Sahgal A, Chow E (2013) Preliminary results of the generation of a shortened quality-of-life assessment for patients with advanced cancer: the FACIT-Pal-14. J Palliat Med 16:509–515PubMedCrossRef
Metadata
Title
Which quality of life instruments are preferred by cancer patients in Japan? Comparison of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30 and the Functional Assessment of Cancer Therapy-General
Authors
Kazuki Sato
Megumi Shimizu
Mitsunori Miyashita
Publication date
01-12-2014
Publisher
Springer Berlin Heidelberg
Published in
Supportive Care in Cancer / Issue 12/2014
Print ISSN: 0941-4355
Electronic ISSN: 1433-7339
DOI
https://doi.org/10.1007/s00520-014-2287-z

Other articles of this Issue 12/2014

Supportive Care in Cancer 12/2014 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine