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

Abstract

Objectives: To develop a value set reflecting the United States (US) general population’s preferences for health states described by the Functional Assessment of Cancer Therapy (FACT) eight-dimensions preference-based multi-attribute utility instrument (FACT-8D), derived from the FACT-General cancer-specific health-related quality-of-life (HRQL) questionnaire.

Methods: A US online panel was quota-sampled to achieve a general population sample representative by sex, age (≥ 18 years), race and ethnicity. A discrete choice experiment (DCE) was used to value health states. The valuation task involved choosing between pairs of health states (choice-sets) described by varying levels of the FACT-8D HRQL dimensions and survival (life-years). The DCE included 100 choice-sets; each respondent was randomly allocated 16 choice-sets. Data were analysed using conditional logit regression parameterized to fit the quality-adjusted life-year framework, weighted for sociodemographic variables that were non-representative of the US general population. Preference weights were calculated as the ratio of HRQL-level coefficients to the survival coefficient.

Results: 2562 panel members opted in, 2462 (96%) completed at least one choice-set and 2357 (92%) completed 16 choice-sets. Pain and nausea were associated with the largest utility weights, work and sleep had more moderate utility weights, and sadness, worry and support had the smallest utility weights. Within dimensions, more severe HRQL levels were generally associated with larger weights. A preference-weighting algorithm to estimate US utilities from responses to the FACT-General questionnaire was generated. The worst health state’s value was −0.33.

Conclusions: This value set provides US population utilities for health states defined by the FACT-8D for use in evaluating oncology treatments.

Metadata

Item Type:	Article
Authors/Creators:	King, M.T. https://orcid.org/0000-0001-7192-2887 Revicki, D.A. https://orcid.org/0000-0001-6780-0019 Norman, R. https://orcid.org/0000-0002-3112-3893 Müller, F. https://orcid.org/0000-0002-0412-7469 Viney, R.C. https://orcid.org/0000-0002-0039-9635 Pickard, A.S. https://orcid.org/0000-0001-5645-7091 Cella, D. https://orcid.org/0000-0002-9881-4541 Shaw, J.W. Aaronson, N. Brazier, J. Cella, D. Costa, D. Fayers, P. Grimison, P. Janda, M. Kemmler, G. King, M.T. Luo, N. McTaggart-Cowan, H. Mercieca-Bebber, R. Norman, R. Revicki, D. Peacock, S. Pickard, S. Rowen, D. Velikova, G. https://orcid.org/0000-0003-1899-5942 Viney, R. Street, D. Young, T. Tait, M.-A.
Copyright, Publisher and Additional Information:	© The Author(s) 2023. This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
Dates:	Published: January 2024 Published (online): 7 December 2023 Accepted: 11 October 2023
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Research (LIMR) > Division of Oncology
Depositing User:	Symplectic Publications
Date Deposited:	16 Feb 2024 13:20
Last Modified:	16 Feb 2024 13:20
Published Version:	https://link.springer.com/article/10.1007/s41669-0...
Status:	Published
Publisher:	Springer
Identification Number:	10.1007/s41669-023-00448-5
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:209230

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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

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