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King MT, Norman R, Mercieca-Bebber R, et al. 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 Health. 2021;24(6):862-873doi: 10.1016/j.jval.2021.01.007.
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.2021.01.007
King, Madeleine T, et al. "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 vol. 24,6 (2021): 862-873. doi: https://doi.org/10.1016/j.jval.2021.01.007
King MT, Norman R, Mercieca-Bebber R, Costa DSJ, McTaggart-Cowan H, Peacock S, Janda M, Müller F, Viney R, Pickard AS, Cella D. 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 Health. 2021 Jun;24(6):862-873. doi: 10.1016/j.jval.2021.01.007. Epub 2021 May 07. PMID: 34119085.
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Value Health. 2021 Jun;24(6):862-873. doi: 10.1016/j.jval.2021.01.007. Epub 2021 May 07.

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

Madeleine T King, Richard Norman, Rebecca Mercieca-Bebber, Daniel S J Costa, Helen McTaggart-Cowan, Stuart Peacock, Monika Janda, Fabiola Müller, Rosalie Viney, Alan Simon Pickard, David Cella,

Affiliations

  1. The University of Sydney, Faculty of Science, School of Psychology, Sydney, NSW, Australia. Electronic address: [email protected].
  2. Curtin University - Perth City Campus, and Department of Health Policy and Management, Bentley Campus, Perth, ACT, Australia.
  3. The University of Sydney, Faculty of Science, School of Psychology, Sydney, NSW, Australia; The University of Sydney, Faculty of Medicine and Health, NHMRC Clinical Trials Centre, Sydney, NSW, Australia.
  4. The University of Sydney, Faculty of Science, School of Psychology, Sydney, NSW, Australia; Pain Management Research Institute, Saint Leonards, NSW, Australia and The University of Sydney, Sydney Medical School, Sydney, NSW, Australia.
  5. Canadian Centre for Applied Research in Cancer Control, Vancouver, BC, Canada and British Columbia Cancer Agency, Vancouver, BC, Canada; Simon Fraser University, Faculty of Health Sciences, Burnaby, BC, Canada.
  6. Canadian Centre for Applied Research in Cancer Control, Vancouver, BC, Canada and British Columbia Cancer Agency, Vancouver, BC, Canada.
  7. Queensland University of Technology, School of Public Health, Institute of Health and Biomedical Innovation, Brisbane, QLD, Australia.
  8. The University of Sydney, Faculty of Science, School of Psychology, Sydney, NSW, Australia; Amsterdam University Medical Centres, Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam, Noord-Holland, NL.
  9. University of Technology Sydney, Centre for Health Economics Research and Evaluation, Sydney, NSW, Australia.
  10. University of Illinois at Chicago, Department of Pharmacy Systems, Outcomes and Policy, Chicago, IL, USA.
  11. Northwestern University Feinberg School of Medicine, Department of Medical Social Sciences, Chicago, IL, USA.

PMID: 34119085 DOI: 10.1016/j.jval.2021.01.007

Abstract

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.

Copyright © 2021 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.

Keywords: QALY; condition-specific; health-related quality of life; multi-attribute utility; preference-based; quality of life; quality-adjusted life-year; utility; value set

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