Abstract
Purpose
To examine the responsiveness of Functional Assessment of Cancer Therapy-Prostate (FACT-P) and Short Form-12 Health Survey version 2 (SF-12 v2) in prostate cancer patients because there is a lack of evidence to support their responsiveness in this patient population.
Methods
One hundred sixty-eight subjects with prostate cancer were surveyed at baseline and at 6 months using the SF-12 v2 and FACT-P version 4. Internal responsiveness was assessed using paired t test and generalized estimating equation. External responsiveness was evaluated using receiver operating characteristic curve analysis.
Results
The internal responsiveness of the FACT-P and SF-12 v2 to detect positive change was satisfactory. The FACT-P and SF-12 v2 could not detect negative change. The FACT-P and the SF-12 v2 performed the best in distinguishing between improved general health and worsened general health. The FACT-P performed better in distinguishing between unchanged general health and worsened general health. The SF-12 v2 performed better in distinguishing between unchanged general health and improved general health.
Conclusions
Positive change detected by these measures should be interpreted with caution as they might be too responsive to detect “noise,” which is not clinically significant. The ability of the FACT-P and the SF-12 v2 to detect negative change was disappointing. The internal and external responsiveness of the social well-being of the FACT-P cannot be supported, suggesting that it is not suitable to longitudinally monitor the social component of HRQOL in prostate cancer patients. The study suggested that generic and disease-specific measures should be used together to complement each other.
Similar content being viewed by others
Abbreviations
- HRQOL:
-
Health-related quality of life
- FACT-P:
-
Functional Assessment of Cancer Therapy-Prostate
- PWB:
-
Physical well-being
- SWB:
-
Social well-being
- EWB:
-
Emotional well-being
- FWB:
-
Functional well-being
- TOI:
-
Trial Outcome Index
- PF:
-
Physical functioning
- RP:
-
Role physical
- BP:
-
Bodily pain
- GH:
-
General health
- VT:
-
Vitality
- SF:
-
Social functioning
- RE:
-
Role emotional
- MH:
-
Mental health
- PCS-12:
-
Physical composite summary
- MCS-12:
-
Mental composite summary
- SES:
-
Standardized effect size
- SRM:
-
Standardized response mean
- RS:
-
Responsiveness statistic
- GRS:
-
Global Rating on Change Scale
- SF-12 v2:
-
Short Form-12 Health Survey version 2
- ROC:
-
Receiver operating characteristic
- AUC:
-
Area under the receiver operating characteristic curve
- PSA:
-
Prostate-specific antigen
- GEE:
-
Generalized estimating equation
References
Ferlay, J., et al. (2010). Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. International Journal of Cancer, 127(12), 2893–2917.
Pu, Y. S., et al. (2004). Changing trends of prostate cancer in Asia. Aging Male, 7(2), 120–132.
Siegel, R., et al. (2014). Cancer statistics, 2014. CA: A Cancer Journal for Clinicians, 64(1), 9–29.
Sanda, M. G., et al. (2008). Quality of life and satisfaction with outcome among prostate-cancer survivors. New England Journal of Medicine, 358(12), 1250–1261.
Miller, D. C., et al. (2005). Long-term outcomes among localized prostate cancer survivors: Health-related quality-of-life changes after radical prostatectomy, external radiation, and brachytherapy. Journal of Clinical Oncology, 23(12), 2772–2780.
Litwin, M. S., et al. (1995). Quality-of-life outcomes in men treated for localized prostate cancer. JAMA, 273(2), 129–135.
Smith, D. P., et al. (2009). Quality of life three years after diagnosis of localised prostate cancer: population based cohort study. BMJ, 339, b4817.
Choi, E. P., et al. (2016). Health-related quality of life of Chinese patients with prostate cancer in comparison to general population and other cancer populations. Support Care Cancer. doi:10.1007/s00520-015-2980-6.
Sommers, S. D., & Ramsey, S. D. (1999). A review of quality-of-life evaluations in prostate cancer. Pharmacoeconomics, 16(2), 127–140.
Hamoen, E. H., et al. (2015). Measuring health-related quality of life in men with prostate cancer: A systematic review of the most used questionnaires and their validity. Urology and Oncology, 33(2), 69 e19–28.
Rnic, K., et al. (2013). Measuring symptoms in localized prostate cancer: a systematic review of assessment instruments. Prostate Cancer and Prostatic Diseases, 16(2), 111–122.
Revicki, D. A., et al. (2000). Recommendations on health-related quality of life research to support labeling and promotional claims in the United States. Quality of Life Research, 9(8), 887–900.
Revicki, D. A., et al. (2006). Responsiveness and minimal important differences for patient reported outcomes. Health Qual Life Outcomes, 4, 70.
Testa, M. A., & Nackley, J. F. (1994). Methods for quality-of-life studies. Annual Review of Public Health, 15, 535–559.
Revicki, D., et al. (2008). Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes. Journal of Clinical Epidemiology, 61(2), 102–109.
Guyatt, G., Walter, S., & Norman, G. (1987). Measuring change over time: Assessing the usefulness of evaluative instruments. J Chronic Dis, 40(2), 171–178.
Husted, J. A., et al. (2000). Methods for assessing responsiveness: A critical review and recommendations. Journal of Clinical Epidemiology, 53(5), 459–468.
Choi, E. P., Lam, C. L., & Chin, W.-Y. (2014). The Incontinence Impact Questionnaire-7 (IIQ-7) can be applicable to Chinese males and females with lower urinary tract symptoms. The Patient-Patient-Centered Outcomes Research, 7(4), 403–411.
Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42(9), 851–859.
Ware, J. E, Jr, Kosinski, M., & Keller, S. D. (1996). A 12-item short-form Health Survey: Construction of scales and preliminary tests of reliability and validity. Medical Care, 34(3), 220–233.
Lam, E. T., et al. (2013). Is the SF-12 version 2 Health Survey a valid and equivalent substitute for the SF-36 version 2 Health Survey for the Chinese? Journal of evaluation in clinical practice, 19(1), 200–208.
Esper, P., et al. (1997). Measuring quality of life in men with prostate cancer using the Functional Assessment Of Cancer Therapy-Prostate instrument. Urology, 50(6), 920–928.
Wong, C. K., et al. (2015). Psychometric properties of Functional Assessment of Cancer Therapy-Prostate (FACT-P) in Chinese patients with prostate cancer. Quality of Life Research, 24(10), 2397–2402.
Kamper, S. J., Maher, C. G., & Mackay, G. (2009). Global rating of change scales: A review of strengths and weaknesses and considerations for design. Journal of Manual & Manipulative Therapy, 17(3), 163–170.
Wong, C. K., et al. (2013). Condition-specific measure was more responsive than generic measure in colorectal cancer: All but social domains. Journal of Clinical Epidemiology, 66(5), 557–565.
Beaton, D. E., Hogg-Johnson, S., & Bombardier, C. (1997). Evaluating changes in health status: Reliability and responsiveness of five generic health status measures in workers with musculoskeletal disorders. Journal of Clinical Epidemiology, 50(1), 79–93.
Wong, C. K., et al. (2014). Responsiveness was similar between direct and mapped SF-6D in colorectal cancer patients who declined. Journal of Clinical Epidemiology, 67(2), 219–227.
Juniper, E. F., et al. (1994). Determining a minimal important change in a disease-specific Quality of Life Questionnaire. Journal of Clinical Epidemiology, 47(1), 81–87.
Wright, J. G., & Young, N. L. (1997). A comparison of different indices of responsiveness. Journal of Clinical Epidemiology, 50(3), 239–246.
Stavem, K., Frøland, S. S., & Hellum, K. B. (2005). Comparison of preference-based utilities of the 15D, EQ-5D and SF-6D in patients with HIV/AIDS. Quality of Life Research, 14(4), 971–980.
Marra, C. A., et al. (2005). Are indirect utility measures reliable and responsive in rheumatoid arthritis patients? Quality of Life Research, 14(5), 1333–1344.
Gerhards, S. A., et al. (2011). The responsiveness of quality of life utilities to change in depression: a comparison of instruments (SF-6D, EQ-5D, and DFD). Value in Health, 14(5), 732–739.
Choi, E. P., et al. (2015). The responsiveness of the International Prostate Symptom Score, Incontinence Impact Questionnaire-7 and Depression, Anxiety and Stress Scale-21 in patients with lower urinary tract symptoms. Journal of Advanced Nursing, 71(8), 1857–1870.
Liang, M. H., Fossel, A. H., & Larson, M. G. (1990). Comparisons of five health status instruments for orthopedic evaluation. Medical Care, 28(7), 632–642.
Terwee, C. B., et al. (2003). On assessing responsiveness of health-related quality of life instruments: Guidelines for instrument evaluation. Quality of Life Research, 12(4), 349–362.
Guyatt, G., Walter, S., & Norman, G. (1987). Measuring change over time: Assessing the usefulness of evaluative instruments. Journal of Chronic Diseases, 40(2), 171–178.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: Lawrence Erlbaum Associates.
Norman, G. R., Stratford, P., & Regehr, G. (1997). Methodological problems in the retrospective computation of responsiveness to change: The lesson of Cronbach. Journal of Clinical Epidemiology, 50(8), 869–879.
Efron, B. (1987). Better bootstrap confidence intervals. Journal of the American Statistical Association, 82(397), 171–185.
Rubin, D. B. (2004). Multiple imputation for nonresponse in surveys (Vol. 81). New Jersey: Wiley.
Deyo, R. A., & Centor, R. M. (1986). Assessing the responsiveness of functional scales to clinical change: An analogy to diagnostic test performance. Journal of chronic diseases, 39(11), 897–906.
Terwee, C. B., et al. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34–42.
Rotonda, C., et al. (2008). Validation of the French version of the colorectal-specific quality-of-life questionnaires EORTC QLQ-CR38 and FACT-C. Quality of Life Research, 17(3), 437–445.
Wong, C. K., et al. (2012). Validity and reliability study on traditional Chinese FACT-C in Chinese patients with colorectal neoplasm. J Eval Clin Pract, 18(6), 1186–1195.
Acknowledgments
The authors wish to express their gratitude to Professor Cindy L.K Lam for design and planning of this study and Charles Wong for his assistance in data collection.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
All authors declare that he/she has no conflict of interest.
Ethics approval
The study protocol was approved by the institutional review boards: HKWC (Ref No.: UW13-239). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent
Informed consent was obtained from all individual participants included in the study.
Appendix
Appendix
-
The SES was determined by dividing the differences between baseline and follow-up scores by the standard deviation of all subjects at baseline:
$${\text{SES}} = \left( {{\text{Mean}}_{\text{Follow up}} - {\text{Mean}}_{\text{Baseline}} } \right)/{\text{Standard deviation}}_{\text{Baseline}}$$ -
The SRM was determined by dividing the differences between baseline and follow-up scores by standard deviation of observed difference:
$${\text{SRM}} = \left( {{\text{Mean}}_{\text{Follow up}} - {\text{Mean}}_{\text{Baseline}} } \right)/{\text{Standard deviation}}_{{\left( {{\text{Follow up}} - {\text{Baseline}}} \right)}}$$ -
The RS was determined by dividing the differences between baseline and follow-up scores by the standard deviation of observed differences among “unchanged” group:
$${\text{RS}} = \left( {{\text{Mean}}_{\text{Follow up}} - {\text{Mean}}_{\text{Baseline}} } \right)/{\text{Standard deviation}}_{{\left( {{\text{Follow up}} - {\text{Baseline}}} \right){\text{ no change}}}}$$
Rights and permissions
About this article
Cite this article
Choi, E.P.H., Wong, C.K.H., Wan, E.Y.F. et al. The internal and external responsiveness of Functional Assessment of Cancer Therapy-Prostate (FACT-P) and Short Form-12 Health Survey version 2 (SF-12 v2) in patients with prostate cancer. Qual Life Res 25, 2379–2393 (2016). https://doi.org/10.1007/s11136-016-1254-1
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11136-016-1254-1