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

被引:3
|
作者
King, Madeleine T. [1 ]
Revicki, D. A. [2 ]
Norman, R. [3 ]
Mueller, F. [4 ]
Viney, R. C. [5 ]
Pickard, A. S. [6 ]
Cella, D. [7 ]
Shaw, J. W. [8 ]
机构
[1] Univ Sydney, Fac Sci, Sch Psychol, Sydney, NSW, Australia
[2] Revicki Outcomes Res Consulting, Sarasota, FL USA
[3] Curtin Univ, Sch Populat Hlth, Perth, WA, Australia
[4] Univ Amsterdam, Med Psychol, Amsterdam UMC Locat, Meibergdreef 9, Amsterdam, Netherlands
[5] Univ Technol Sydney, Fac Hlth, Ctr Hlth Econ Res & Evaluat, Sydney, NSW, Australia
[6] Univ Illinois, Coll Pharm, Dept Pharm Syst Outcomes & Policy, Chicago, IL USA
[7] Northwestern Univ, Feinberg Sch Med, Dept Med Social Sci, Chicago, IL USA
[8] Bristol Myers Squibb, Patient Reported Outcomes Assessment, Global Hlth Econ & Outcomes Res, Lawrenceville, NJ USA
基金
英国医学研究理事会;
关键词
DISCRETE-CHOICE EXPERIMENT; EUROPEAN ORGANIZATION; UTILITY WEIGHTS; HEALTH; EQ-5D-5L; QALYS; QUESTIONNAIRE; VALUATION; QLU-C10D; TRIALS;
D O I
10.1007/s41669-023-00448-5
中图分类号
F [经济];
学科分类号
02 ;
摘要
ObjectivesTo 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.MethodsA 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.Results2562 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.ConclusionsThis value set provides US population utilities for health states defined by the FACT-8D for use in evaluating oncology treatments.
引用
收藏
页码:49 / 63
页数:15
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