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Gepubliceerd in:

03-09-2024

Assessing the reliability of a novel cancer-specific multi-attribute utility instrument (FACT-8D) and comparing its validity to EQ-5D-5L in colorectal cancer patients

Auteurs: Yiyin Cao, Huan Zhang, Nan Luo, Haofei Li, Ling Jie Cheng, Weidong Huang

Gepubliceerd in: Quality of Life Research | Uitgave 12/2024

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Abstract

Objective

To examine the test-retest reliability of the Functional Assessment of Cancer Therapy − 8 Dimension (FACT-8D) for the first time, and to conduct a head-to-head comparison of the distribution properties and validity between the FACT-8D and EQ-5D-5L in Colorectal Cancer (CRC) Patients.

Methods

We conducted a longitudinal study on Chinese CRC patients, employing Functional Assessment of Cancer Therapy-General (FACT-G) and EQ-5D-5L at baseline, and FACT-G during follow-up (2–7 days from baseline). Utility scores for FACT-8D were derived from all available value sets (Australia, Canada and USA), while EQ-5D-5L scores were obtained from corresponding value sets for various countries. We assessed convergent validity using pairwise polychoric correlations between the FACT-8D and EQ-5D-5L; known-groups validity by discriminating participants’ clinical characteristics, and effect size (ES) was tested; test-retest reliability for FACT-8D using kappa and weighted Kappa for choice consistency, and intraclass correlation coefficient (ICC) and Bland-Altman method for utility consistency.

Results

Among the 287 patients with CRC at baseline, 131 were included in the retest analysis. The utility scores of FACT-8D were highly positively correlated with EQ-5D-5L across various country value sets (r = 0.65–0.77), and most of the dimensions of FACT-8D and EQ-5D-5L were positively correlated. EQ-5D-5L failed to discriminate known-groups in cancer stage across all value sets, whereas both were significant in FACT-8D (ES = 0.35–0.48, ES = 0.38–0.52). FACT-8D showed good test–retest reliability (Cohen’s weighted Kappa = 0.494–0.722, ICC = 0.748–0.786).

Conclusion

The FACT-8D can be used as a valid and reliable instrument for clinical evaluation of patients with CRC, outperforming EQ-5D-5L in differentiating clinical subgroups and showing promise for cancer practice and research.
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Literatuur
1.
go back to reference Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021). Global Cancer statistics 2020: GLOBOCAN estimates of incidence and Mortality Worldwide for 36 cancers in 185 countries. C Ca: A Cancer Journal for Clinicians, 71(3), 209–249. https://doi.org/10.3322/caac.21660CrossRef Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021). Global Cancer statistics 2020: GLOBOCAN estimates of incidence and Mortality Worldwide for 36 cancers in 185 countries. C Ca: A Cancer Journal for Clinicians, 71(3), 209–249. https://​doi.​org/​10.​3322/​caac.​21660CrossRef
5.
go back to reference Heintz, E., Gerber-Grote, A., Ghabri, S., Hamers, F. F., Rupel, V. P., Slabe-Erker, R., & Davidson, T. (2016). Is there a European view on Health economic evaluations? Results from a synopsis of methodological guidelines used in the EUnetHTA Partner Countries. Pharmacoeconomics, 34(1), 59–76. https://doi.org/10.1007/s40273-015-0328-1CrossRefPubMed Heintz, E., Gerber-Grote, A., Ghabri, S., Hamers, F. F., Rupel, V. P., Slabe-Erker, R., & Davidson, T. (2016). Is there a European view on Health economic evaluations? Results from a synopsis of methodological guidelines used in the EUnetHTA Partner Countries. Pharmacoeconomics, 34(1), 59–76. https://​doi.​org/​10.​1007/​s40273-015-0328-1CrossRefPubMed
8.
go back to reference National Institute for, H., &, & Care, E. (2013). NICE process and methods Guides. Guide to the methods of Technology Appraisal 2013. National Institute for Health and Care Excellence (NICE). National Institute for, H., &, & Care, E. (2013). NICE process and methods Guides. Guide to the methods of Technology Appraisal 2013. National Institute for Health and Care Excellence (NICE).
9.
go back to reference Copyright ©. (2013). National Institute for Health and Clinical Excellence, unless otherwise stated. All rights reserved. Copyright ©. (2013). National Institute for Health and Clinical Excellence, unless otherwise stated. All rights reserved.
11.
go back to reference Sahakyan, Y., Li, Q., Alibhai, S. M. H., Puts, M., Yeretzian, S. T., Anwar, M. R., Brennenstuhl, S., McLean, B., Strohschein, F., Tomlinson, G., Wills, A., & Abrahamyan, L. (2024). Cost-Utility Analysis of Geriatric Assessment and Management in older adults with Cancer: Economic evaluation within 5 C trial. Journal of Clinical Oncology, 42(1), 59–69. https://doi.org/10.1200/jco.23.00930CrossRefPubMed Sahakyan, Y., Li, Q., Alibhai, S. M. H., Puts, M., Yeretzian, S. T., Anwar, M. R., Brennenstuhl, S., McLean, B., Strohschein, F., Tomlinson, G., Wills, A., & Abrahamyan, L. (2024). Cost-Utility Analysis of Geriatric Assessment and Management in older adults with Cancer: Economic evaluation within 5 C trial. Journal of Clinical Oncology, 42(1), 59–69. https://​doi.​org/​10.​1200/​jco.​23.​00930CrossRefPubMed
12.
go back to reference Mirzayeh Fashami, F., Levine, M., Xie, F., Blackhouse, G., & Tarride, J. E. (2023). Olaparib versus Placebo in maintenance treatment of germline BRCA-Mutated metastatic pancreatic Cancer: A cost-utility analysis from the Canadian Public Payer’s perspective. Current Oncology (Toronto, Ont.), 30(5), 4688–4699. https://doi.org/10.3390/curroncol30050354CrossRefPubMed Mirzayeh Fashami, F., Levine, M., Xie, F., Blackhouse, G., & Tarride, J. E. (2023). Olaparib versus Placebo in maintenance treatment of germline BRCA-Mutated metastatic pancreatic Cancer: A cost-utility analysis from the Canadian Public Payer’s perspective. Current Oncology (Toronto, Ont.), 30(5), 4688–4699. https://​doi.​org/​10.​3390/​curroncol3005035​4CrossRefPubMed
14.
go back to reference Kennedy-Martin, M., Slaap, B., Herdman, M., van Reenen, M., Kennedy-Martin, T., Greiner, W., Busschbach, J., & Boye, K. S. (2020). Which multi-attribute utility instruments are recommended for use in cost-utility analysis? A review of national health technology assessment (HTA) guidelines. The European Journal of Health Economics, 21(8), 1245–1257. https://doi.org/10.1007/s10198-020-01195-8CrossRefPubMedPubMedCentral Kennedy-Martin, M., Slaap, B., Herdman, M., van Reenen, M., Kennedy-Martin, T., Greiner, W., Busschbach, J., & Boye, K. S. (2020). Which multi-attribute utility instruments are recommended for use in cost-utility analysis? A review of national health technology assessment (HTA) guidelines. The European Journal of Health Economics, 21(8), 1245–1257. https://​doi.​org/​10.​1007/​s10198-020-01195-8CrossRefPubMedPubMedCentral
19.
go back to reference Garau, M., Shah, K. K., Mason, A. R., Wang, Q., Towse, A., & Drummond, M. F. (2011). Using QALYs in cancer: A review of the methodological limitations. Pharmacoeconomics, 29, 673–685.CrossRefPubMed Garau, M., Shah, K. K., Mason, A. R., Wang, Q., Towse, A., & Drummond, M. F. (2011). Using QALYs in cancer: A review of the methodological limitations. Pharmacoeconomics, 29, 673–685.CrossRefPubMed
22.
24.
go back to reference Longworth, L., Yang, Y., Young, T., Mulhern, B., Hernández Alava, M., Mukuria, C., Rowen, D., Tosh, J., Tsuchiya, A., Evans, P., Devianee Keetharuth, A., & Brazier, J. (2014). Use of generic and condition-specific measures of health-related quality of life in NICE decision-making: A systematic review, statistical modelling and survey. Health Technology Assessment, 18(9), 1–224. https://doi.org/10.3310/hta18090CrossRefPubMed Longworth, L., Yang, Y., Young, T., Mulhern, B., Hernández Alava, M., Mukuria, C., Rowen, D., Tosh, J., Tsuchiya, A., Evans, P., Devianee Keetharuth, A., & Brazier, J. (2014). Use of generic and condition-specific measures of health-related quality of life in NICE decision-making: A systematic review, statistical modelling and survey. Health Technology Assessment, 18(9), 1–224. https://​doi.​org/​10.​3310/​hta18090CrossRefPubMed
25.
go back to reference King, M. T., Norman, R., Mercieca-Bebber, R., Costa, D. S. J., McTaggart-Cowan, H., Peacock, S., Janda, M., Müller, F., Viney, R., Pickard, A. S., & Cella, D. (2021). The Functional Assessment of Cancer Therapy eight dimension (FACT-8D), a Multi-attribute Utility Instrument Derived from the Cancer-Specific FACT-General (FACT-G) quality of Life Questionnaire: Development and Australian Value Set. Value In Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research, 24(6), 862–873. https://doi.org/10.1016/j.jval.2021.01.007CrossRefPubMed King, M. T., Norman, R., Mercieca-Bebber, R., Costa, D. S. J., McTaggart-Cowan, H., Peacock, S., Janda, M., Müller, F., Viney, R., Pickard, A. S., & Cella, D. (2021). The Functional Assessment of Cancer Therapy eight dimension (FACT-8D), a Multi-attribute Utility Instrument Derived from the Cancer-Specific FACT-General (FACT-G) quality of Life Questionnaire: Development and Australian Value Set. Value In Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research, 24(6), 862–873. https://​doi.​org/​10.​1016/​j.​jval.​2021.​01.​007CrossRefPubMed
28.
go back to reference King, M. T., Revicki, D. A., Norman, R., Müller, F., Viney, R. C., Pickard, A. S., Cella, D., & Shaw, J. W. (2024). United States Value Set for the Functional Assessment of Cancer Therapy-General eight dimensions (FACT-8D), a Cancer-specific preference-based quality of Life Instrument. Pharmacoecon Open, 8(1), 49–63. https://doi.org/10.1007/s41669-023-00448-5CrossRefPubMed King, M. T., Revicki, D. A., Norman, R., Müller, F., Viney, R. C., Pickard, A. S., Cella, D., & Shaw, J. W. (2024). United States Value Set for the Functional Assessment of Cancer Therapy-General eight dimensions (FACT-8D), a Cancer-specific preference-based quality of Life Instrument. Pharmacoecon Open, 8(1), 49–63. https://​doi.​org/​10.​1007/​s41669-023-00448-5CrossRefPubMed
30.
go back to reference Pilz, M. J., Seyringer, S., Hallsson, L. R., Bottomley, A., Jansen, F., King, M. T., Norman, R., Rutten, M. J., Leeuw, I. M. V., Siersema, P. D., & Gamper, E. M. (2024). The EORTC QLU-C10D is a valid cancer-specific preference-based measure for cost-utility and health technology assessment in the Netherlands. The European Journal of Health Economics. https://doi.org/10.1007/s10198-024-01670-6CrossRefPubMedPubMedCentral Pilz, M. J., Seyringer, S., Hallsson, L. R., Bottomley, A., Jansen, F., King, M. T., Norman, R., Rutten, M. J., Leeuw, I. M. V., Siersema, P. D., & Gamper, E. M. (2024). The EORTC QLU-C10D is a valid cancer-specific preference-based measure for cost-utility and health technology assessment in the Netherlands. The European Journal of Health Economics. https://​doi.​org/​10.​1007/​s10198-024-01670-6CrossRefPubMedPubMedCentral
32.
go back to reference Oken, M. M., Creech, R. H., Tormey, D. C., Horton, J., Davis, T. E., McFadden, E. T., & Carbone, P. P. (1982). Toxicity and response criteria of the Eastern Cooperative Oncology Group. American Journal of Clinical Oncology, 5(6), 649–655.CrossRefPubMed Oken, M. M., Creech, R. H., Tormey, D. C., Horton, J., Davis, T. E., McFadden, E. T., & Carbone, P. P. (1982). Toxicity and response criteria of the Eastern Cooperative Oncology Group. American Journal of Clinical Oncology, 5(6), 649–655.CrossRefPubMed
36.
go back to reference Yost, K. J., Thompson, C. A., Eton, D. T., Allmer, C., Ehlers, S. L., Habermann, T. M., Shanafelt, T. D., Maurer, M. J., Slager, S. L., Link, B. K., & Cerhan, J. R. (2013). The Functional Assessment of Cancer Therapy - General (FACT-G) is valid for monitoring quality of life in patients with non-hodgkin lymphoma. Leukaemia & Lymphoma, 54(2), 290–297. https://doi.org/10.3109/10428194.2012.711830CrossRef Yost, K. J., Thompson, C. A., Eton, D. T., Allmer, C., Ehlers, S. L., Habermann, T. M., Shanafelt, T. D., Maurer, M. J., Slager, S. L., Link, B. K., & Cerhan, J. R. (2013). The Functional Assessment of Cancer Therapy - General (FACT-G) is valid for monitoring quality of life in patients with non-hodgkin lymphoma. Leukaemia & Lymphoma, 54(2), 290–297. https://​doi.​org/​10.​3109/​10428194.​2012.​711830CrossRef
37.
go back to reference Yu, C. L., Fielding, R., Chan, C. L., Tse, V. K., Choi, P. H., Lau, W. H., Choy, D. T., Lee, O. S. K., A. W., & Sham, J. S. (2000). Measuring quality of life of Chinese cancer patients: A validation of the Chinese version of the Functional Assessment of Cancer Therapy-General (FACT-G) scale. Cancer, 88(7), 1715–1727.CrossRefPubMed Yu, C. L., Fielding, R., Chan, C. L., Tse, V. K., Choi, P. H., Lau, W. H., Choy, D. T., Lee, O. S. K., A. W., & Sham, J. S. (2000). Measuring quality of life of Chinese cancer patients: A validation of the Chinese version of the Functional Assessment of Cancer Therapy-General (FACT-G) scale. Cancer, 88(7), 1715–1727.CrossRefPubMed
40.
go back to reference Pickard, A. S., Law, E. H., Jiang, R., Pullenayegum, E., Shaw, J. W., Xie, F., Oppe, M., Boye, K. S., Chapman, R. H., Gong, C. L., Balch, A., & Busschbach, J. J. V. (2019). United States Valuation of EQ-5D-5L Health States using an International Protocol. Value In Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research, 22(8), 931–941. https://doi.org/10.1016/j.jval.2019.02.009CrossRefPubMed Pickard, A. S., Law, E. H., Jiang, R., Pullenayegum, E., Shaw, J. W., Xie, F., Oppe, M., Boye, K. S., Chapman, R. H., Gong, C. L., Balch, A., & Busschbach, J. J. V. (2019). United States Valuation of EQ-5D-5L Health States using an International Protocol. Value In Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research, 22(8), 931–941. https://​doi.​org/​10.​1016/​j.​jval.​2019.​02.​009CrossRefPubMed
42.
go back to reference Statistical power analysis for the behavioral sciences (1990). Computers Environment and Urban Systems, 14(1), 71. Statistical power analysis for the behavioral sciences (1990). Computers Environment and Urban Systems, 14(1), 71.
47.
go back to reference Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174.CrossRefPubMed Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174.CrossRefPubMed
48.
go back to reference Bland, J. M., & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 1(8476), 307–310.CrossRefPubMed Bland, J. M., & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 1(8476), 307–310.CrossRefPubMed
51.
go back to reference Gamper, E. M., Cottone, F., Sommer, K., Norman, R., King, M., Breccia, M., Caocci, G., Patriarca, A., Palumbo, G. A., Stauder, R., Niscola, P., Platzbecker, U., Caers, J., Vignetti, M., & Efficace, F. (2021). The EORTC QLU-C10D was more efficient in detecting clinical known group differences in myelodysplastic syndromes than the EQ-5D-3L. Journal of Clinical Epidemiology, 137, 31–44. https://doi.org/10.1016/j.jclinepi.2021.03.015CrossRefPubMed Gamper, E. M., Cottone, F., Sommer, K., Norman, R., King, M., Breccia, M., Caocci, G., Patriarca, A., Palumbo, G. A., Stauder, R., Niscola, P., Platzbecker, U., Caers, J., Vignetti, M., & Efficace, F. (2021). The EORTC QLU-C10D was more efficient in detecting clinical known group differences in myelodysplastic syndromes than the EQ-5D-3L. Journal of Clinical Epidemiology, 137, 31–44. https://​doi.​org/​10.​1016/​j.​jclinepi.​2021.​03.​015CrossRefPubMed
53.
54.
56.
go back to reference Crowder, S. L., Li, X., Himbert, C., Viskochil, R., Hoogland, A. I., Gudenkauf, L. M., Oswald, L. B., Gonzalez, B. D., Small, B. J., Ulrich, C. M., Ose, J., Peoples, A. R., Li, C. I., Shibata, D., Toriola, A. T., Gigic, B., Playdon, M. C., Hardikar, S., Bower, J., Siegel, E. M., Figueiredo, J. C., & Jim, H. S. L. (2024). Relationships among Physical Activity, Sleep, and Cancer-related fatigue: Results from the International ColoCare Study. Annals of Behavioral Medicine, 58(3), 156–166. https://doi.org/10.1093/abm/kaad068CrossRefPubMed Crowder, S. L., Li, X., Himbert, C., Viskochil, R., Hoogland, A. I., Gudenkauf, L. M., Oswald, L. B., Gonzalez, B. D., Small, B. J., Ulrich, C. M., Ose, J., Peoples, A. R., Li, C. I., Shibata, D., Toriola, A. T., Gigic, B., Playdon, M. C., Hardikar, S., Bower, J., Siegel, E. M., Figueiredo, J. C., & Jim, H. S. L. (2024). Relationships among Physical Activity, Sleep, and Cancer-related fatigue: Results from the International ColoCare Study. Annals of Behavioral Medicine, 58(3), 156–166. https://​doi.​org/​10.​1093/​abm/​kaad068CrossRefPubMed
57.
59.
go back to reference van Dongen-Leunis, A., Redekop, W. K., & Uyl-de Groot, C. A. (2016). Which Questionnaire should be used to measure quality-of-life utilities in patients with Acute Leukemia? An evaluation of the validity and interpretability of the EQ-5D-5L and preference-based questionnaires derived from the EORTC QLQ-C30. Value In Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research, 19(6), 834–843. https://doi.org/10.1016/j.jval.2016.05.008CrossRefPubMed van Dongen-Leunis, A., Redekop, W. K., & Uyl-de Groot, C. A. (2016). Which Questionnaire should be used to measure quality-of-life utilities in patients with Acute Leukemia? An evaluation of the validity and interpretability of the EQ-5D-5L and preference-based questionnaires derived from the EORTC QLQ-C30. Value In Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research, 19(6), 834–843. https://​doi.​org/​10.​1016/​j.​jval.​2016.​05.​008CrossRefPubMed
60.
go back to reference King, M. T., Costa, D. S., Aaronson, N. K., Brazier, J. E., Cella, D. F., Fayers, P. M., Grimison, P., Janda, M., Kemmler, G., Norman, R., Pickard, A. S., Rowen, D., Velikova, G., Young, T. A., & Viney, R. (2016). QLU-C10D: A health state classification system for a multi-attribute utility measure based on the EORTC QLQ-C30. Quality of Life Research, 25(3), 625–636. https://doi.org/10.1007/s11136-015-1217-yCrossRefPubMed King, M. T., Costa, D. S., Aaronson, N. K., Brazier, J. E., Cella, D. F., Fayers, P. M., Grimison, P., Janda, M., Kemmler, G., Norman, R., Pickard, A. S., Rowen, D., Velikova, G., Young, T. A., & Viney, R. (2016). QLU-C10D: A health state classification system for a multi-attribute utility measure based on the EORTC QLQ-C30. Quality of Life Research, 25(3), 625–636. https://​doi.​org/​10.​1007/​s11136-015-1217-yCrossRefPubMed
61.
go back to reference Rowen, D., Brazier, J., Young, T., Gaugris, S., Craig, B. M., King, M. T., & Velikova, G. (2011). Deriving a preference-based measure for cancer using the EORTC QLQ-C30. Value in Health, 14(5), 721–731.CrossRefPubMed Rowen, D., Brazier, J., Young, T., Gaugris, S., Craig, B. M., King, M. T., & Velikova, G. (2011). Deriving a preference-based measure for cancer using the EORTC QLQ-C30. Value in Health, 14(5), 721–731.CrossRefPubMed
65.
go back to reference Shaw, J. W., Bennett, B., Trigg, A., DeRosa, M., Taylor, F., Kiff, C., Ntais, D., Noon, K., King, M. T., & Cocks, K. (2021). EQ-5D-3L, Mapping to the EQ-5D-5L, and European Organisation for Research and Treatment of Cancer Quality of Life Utility Measure-Core 10 Dimensions. Value In Health: The Journal Of The International Society For Pharmacoeconomics And Outcomes Research, 24(11), 1651–1659. https://doi.org/10.1016/j.jval.2021.05.022. A Comparison of Generic and Condition-Specific Preference-Based Measures Using Data From Nivolumab Trials. Shaw, J. W., Bennett, B., Trigg, A., DeRosa, M., Taylor, F., Kiff, C., Ntais, D., Noon, K., King, M. T., & Cocks, K. (2021). EQ-5D-3L, Mapping to the EQ-5D-5L, and European Organisation for Research and Treatment of Cancer Quality of Life Utility Measure-Core 10 Dimensions. Value In Health: The Journal Of The International Society For Pharmacoeconomics And Outcomes Research, 24(11), 1651–1659. https://​doi.​org/​10.​1016/​j.​jval.​2021.​05.​022. A Comparison of Generic and Condition-Specific Preference-Based Measures Using Data From Nivolumab Trials.
Metagegevens
Titel
Assessing the reliability of a novel cancer-specific multi-attribute utility instrument (FACT-8D) and comparing its validity to EQ-5D-5L in colorectal cancer patients
Auteurs
Yiyin Cao
Huan Zhang
Nan Luo
Haofei Li
Ling Jie Cheng
Weidong Huang
Publicatiedatum
03-09-2024
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 12/2024
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-024-03774-1