Abstract
For the assessment of value of new therapies in healthcare, Health Technology Assessment (HTA) agencies often review the cost per quality-adjusted life-year (QALY) gained. Some HTA agencies accept a higher cost per QALY gained when treatment is aimed at prolonging survival for patients with a short expected remaining lifetime, a so-called end-of-life (EoL) premium. The objective of this study is to elicit the existence and size of an EoL premium in cancer. Data was collected from 509 individuals in the Swedish general population 20–80 years old using a web-based questionnaire. Preferences were elicited using subjective risk estimation and the contingent valuation (CV) method. A split-sample design was applied to test for order bias. The mean value of a QALY was MSEK4.8 (€528,000), and there was an EoL premium of 4–10% at 6 months of expected remaining lifetime. Using subjective risk resulted in more robust and valid estimates of the value of a QALY. Order of scenarios did not have a significant impact on the WTP and the result showed scale sensitivity. Our result provides some support for the use of an EoL premium based on individual preferences when expected remaining lifetime is short and below 24 months. Furthermore, we find support for a value of a QALY that is above the current threshold of several HTA agencies.
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Notes
This calculation is based on the VSL divided by the discounted number of QALYs lost in a fatal road traffic accident (16.23) and adjusted for tax factors used in the transport sector (1.53).
The review found a large variation of QoL in cancer ranging from 0.33 to 0.93. Most QoL measurements were, however, above 0.5. Since the cancer type in the questionnaire is fatal, it was found reasonable to apply 0.6 as a mean average and 0.4 was considered appropriate for the last month alive.
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Janssen Pharmaceutica NV funded the project through an unrestricted Grant to IHE.
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The authors declare that they have no conflicts of interest.
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The study is a survey of the general population. No ethical approval was applied for since participants could not be identified and the study did not involve collection of sensitive information.
Appendix
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Cancer death 10-year risk (per 1000) | ||
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Age | Men | Women |
20 | 1 | 1 |
21 | 1 | 1 |
22 | 1 | 1 |
23 | 1 | 1 |
24 | 1 | 1 |
25 | 1 | 1 |
26 | 1 | 1 |
27 | 1 | 1 |
28 | 1 | 1 |
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60 | 42 | 37 |
61 | 47 | 41 |
62 | 53 | 45 |
63 | 58 | 48 |
64 | 63 | 52 |
65 | 69 | 55 |
66 | 77 | 60 |
67 | 85 | 64 |
68 | 93 | 69 |
69 | 101 | 73 |
70 | 109 | 78 |
71 | 121 | 84 |
72 | 133 | 90 |
73 | 145 | 95 |
74 | 156 | 101 |
75 | 168 | 107 |
76 | 184 | 114 |
77 | 201 | 121 |
78 | 217 | 129 |
79 | 234 | 136 |
80 | 250 | 143 |
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Olofsson, S., Gerdtham, UG., Hultkrantz, L. et al. Measuring the end-of-life premium in cancer using individual ex ante willingness to pay. Eur J Health Econ 19, 807–820 (2018). https://doi.org/10.1007/s10198-017-0922-6
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DOI: https://doi.org/10.1007/s10198-017-0922-6