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

Madeleine T. King (), D. A. Revicki, R. Norman, F. Müller, R.C. Viney, A. S. Pickard, D. Cella and J. W. Shaw
Additional contact information
Madeleine T. King: University of Sydney
D. A. Revicki: Revicki Outcomes Research Consulting
R. Norman: Curtin University
F. Müller: Amsterdam UMC Location University of Amsterdam
R.C. Viney: University of Technology Sydney
A. S. Pickard: University of Illinois at Chicago
D. Cella: Northwestern University Feinberg School of Medicine
J. W. Shaw: Global Health Economics and Outcomes Research

PharmacoEconomics - Open, 2024, vol. 8, issue 1, No 5, 49-63

Abstract: 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.

Date: 2024
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DOI: 10.1007/s41669-023-00448-5

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