Title |
Health state utility valuation in radioactive iodine-refractory differentiated thyroid cancer
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Published in |
Patient preference and adherence, November 2015
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DOI | 10.2147/ppa.s90425 |
Pubmed ID | |
Authors |
Beth A Fordham, Cicely Kerr, Hayley M de Freitas, Andrew J Lloyd, Karissa Johnston, Corey L Pelletier, Gabriel Tremblay, Anna Forsythe, Bryan McIver, Ezra EW Cohen |
Abstract |
The aim of this study was to elicit utilities for radioactive iodine-refractory differentiated thyroid cancer (RR-DTC) and evaluate the impact of treatment response and toxicities on quality of life. RR-DTC health states were developed based on data from a previous qualitative study and iterative review by clinical experts. Following piloting, health states underwent valuation by 100 members of the UK public during time trade-off interviews. Mean utilities and descriptive distribution statistics were calculated, and a logistic regression analysis was conducted. The demographic characteristics of the study sample were generally reflective of the UK population. Clear differentiation in valuation between health states was observed. No response/stable disease had an adjusted utility value of 0.87, with a corresponding gain of +0.04 following a treatment response and a decline of -0.35 for disease progression. Adverse events were associated with utility decrements between -0.47 (grade III diarrhea) and -0.05 (grade I/II alopecia). The trade-off interviews derived utility weights show clear differentiation between RR-DTC health states in response to treatment. The values reported in this study are suitable for cost-effectiveness evaluations for new treatments in RR-DTC. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Other | 5 | 11% |
Student > Master | 5 | 11% |
Researcher | 4 | 9% |
Student > Bachelor | 3 | 7% |
Student > Postgraduate | 2 | 4% |
Other | 3 | 7% |
Unknown | 23 | 51% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 7 | 16% |
Nursing and Health Professions | 5 | 11% |
Psychology | 3 | 7% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Economics, Econometrics and Finance | 1 | 2% |
Other | 3 | 7% |
Unknown | 24 | 53% |