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

Autor: Galina Velikova, Alan S. Pickard, Peter Fayers, R. O. C. Norman, S. Peacock, MT King, Georg Kemmler, Peter Grimison, Richard Norman, N. Aaronson, David Cella, D. Cella, Rosalie Viney, Monika Janda, A.S. Pickard, JE Brazier, H. McTaggart-Cowan, Daniel S.J. Costa, Donna Rowen, Deborah J. Street, M. Janda, R. Mercieca-Bebber, Fabiola Müller, R. Viney, D.S.J. Costa, Rebecca Mercieca-Bebber, Stuart Peacock, Madeleine King, T. Young, Helen McTaggart-Cowan
Rok vydání: 2021
Předmět:
Zdroj: Value in Health. 24:862-873
ISSN: 1098-3015
DOI: 10.1016/j.jval.2021.01.007
Popis: Objectives To develop a cancer-specific multi-attribute utility instrument derived from the Functional Assessment of Cancer Therapy - General (FACT-G) health-related quality of life (HRQL) questionnaire. Methods We derived a descriptive system based on a subset of the 27-item FACT-G. Item selection was informed by psychometric analyses of existing FACT-G data (n = 6912) and by patient input (n = 82). We then conducted an online valuation survey, with participants recruited via an Australian general population online panel. A discrete choice experiment (DCE) was used, with attributes being the HRQL dimensions of the descriptive system and survival duration, and 16 choice-pairs per participant. Utility decrements were estimated with conditional logit and mixed logit modeling. Results Eight HRQL dimensions were included in the descriptive system: pain, fatigue, nausea, sleep, work, social support, sadness, and future health worry; each with 5 levels. Of 1737 panel members who accessed the valuation survey, 1644 (95%) completed 1 or more DCE choice-pairs and were included in analyses. Utility decrements were generally monotonic; within each dimension, poorer HRQL levels generally had larger utility decrements. The largest utility decrements were for the highest levels of pain (-0.40) and nausea (-0.28). The worst health state had a utility of -0.54, considerably worse than dead. Conclusions A descriptive system and preference-based scoring approach were developed for the FACT-8D, a new cancer-specific multi-attribute utility instrument derived from the FACT-G. The Australian value set is the first of a series of country-specific value sets planned that can facilitate cost-utility analyses based on items from the FACT-G and related FACIT questionnaires containing FACT-G items.
Databáze: OpenAIRE