Abstract
16021 Background: In metastatic lung cancer, it is expected that quality of life is impacted both by the efficacy and toxicity. Previous research has reported health states either based on response to therapy or on toxicity, but not in combination. Using methodology applied in breast cancer (Narewska 2005), we developed health state descriptions for advanced non-small cell lung cancer (NSCLC) for use in cost-utility analyses. Methods: An interview discussion and content validation guide was produced based on literature review and clinical input. Response to therapy was described as responding disease, stable disease, or progressive disease. The most common toxicities were selected based on randomized clinical trials. Descriptions of health states were reviewed by clinical specialists. Final health states will be piloted and then used in a societal-based valuation study using standard gamble technique. The contributory effect of disease state and toxicity will be estimated using a mixed model analysis and compared with the data from the previous breast cancer utility study. Results: Eight toxicities were identified: alopecia and grade 3/4 neutropenia, febrile neutropenia, hand-foot syndrome, gastrointestinal (diarrhea/vomiting), rash, stomatitis and fatigue. These were combined with response to therapy to yield 19 health states: 9 responding disease (one with each toxicity plus one with no toxicity), 9 stable disease (one with each toxicity plus one with no toxicity) and one progressive disease (toxicity not included). These health states were reviewed by 6 pulmonary oncologists and 3 specialist nurses. Conclusion: Development of health states that combine both efficacy and toxicity will be useful in evaluating the relative value of therapies for advanced NSCLC and comparison with other diseases. Input by clinical experts has provided validation for the proposed health states. Evaluation of these health states by members of society will provide appropriate perspective for economic evaluations. [Table: see text]
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