Skip to main content

Advertisement

Log in

Measuring the end-of-life premium in cancer using individual ex ante willingness to pay

  • Original Paper
  • Published:
The European Journal of Health Economics Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Notes

  1. 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).

  2. 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.

References

  1. Svensson, M., Nilsson, F.O., Arnberg, K.: Reimbursement decisions for pharmaceuticals in Sweden: the impact of disease severity and cost effectiveness. PharmacoEconomics 33(11), 1229–1236 (2015)

    Article  PubMed  Google Scholar 

  2. Trafikverket: Analysmetod och samhällsekonomiska kalkylvärden för transportsektorn: ASEK 6.0, Kapitel 9: Trafiksäkerhet och olyckskostnader. [cited 2016 2 May]. http://www.trafikverket.se/contentassets/4b1c1005597d47bda386d81dd3444b24/09_trafiksakerhet_a60.pdf (2016). Accessed 02 May 2016

  3. TLV: TLV: suppdrag angående omregleringar av apoteksmarknaden. http://www.tlv.se/global/tlvdokument/tlv-slutrapport-omreglering-apoteksmarknad-100413.pdf (2010). cited 18 April 2016

  4. NICE: Guide to the methods of technology appraisal 2013. https://www.nice.org.uk/article/pmg9/resources/non-guidance-guide-to-the-methods-of-technology-appraisal-2013-pdf (2013). cited 18 April 2016

  5. Baker, R., et al.: Searchers vs. surveyors in estimating the monetary value of a QALY: resolving a nasty dilemma for NICE. Health Econ. Policy Law 6(4), 435–447 (2011)

    Article  PubMed  Google Scholar 

  6. CDF: Cancer Drugs Fund. http://www.cancerresearchuk.org/about-cancer/cancers-in-general/cancer-questions/cancer-drugs-fund (2015). cited 18 April 2016

  7. TLV: Beslut 1205/2012, Zelboraf. [cited 2016 18 April]. http://www.tlv.se/Upload/Beslut_2012/bes121025-zelboraf.pdf (2012). Accessed on 18 April 2016

  8. TLV: Beslut 3122/2011, Zytiga. [cited 2016 18 April]. http://www.tlv.se/Upload/Beslut_2015/bes150521-zytiga.pdf (2012). Accessed on 18 April 2016

  9. TLV: Beslut 2775/2013, Xtandi. [cited 2016 18 April]. http://www.tlv.se/Upload/Beslut_2014/bes140527-xtandi.pdf (2014). Accessed on 18 April 2016

  10. Engström, I.: Plånboken bör inte få avgöra tillgång till nya effektiva läkemedel Läkartidningen. 112, DEU6 (2015)

  11. Devlin, N., Lorgelly, P.: QALY as a measure of value in cancer. J. Cancer Policy (2016). doi:10.1016/j.jcpo.2016.09.005

    Article  Google Scholar 

  12. Brouwer, W., et al.: The new myth: the social value of the QALY. PharmacoEconomics 26(1), 1–4 (2008)

    Article  PubMed  Google Scholar 

  13. Gyrd-Hansen, D.: Willingness to pay for a QALY: theoretical and methodological issues. PharmacoEconomics 23(5), 423–432 (2005)

    Article  PubMed  Google Scholar 

  14. Hammitt, J.K.: Admissible utility functions for health, longevity, and wealth: integrating monetary and life-year measures. J. Risk Uncertain. 47, 311–325 (2013)

    Article  Google Scholar 

  15. Weinstein, M.C.: How much are Americans willing to pay for a quality-adjusted life year? Med. Care 46(4), 343–345 (2008)

    Article  PubMed  Google Scholar 

  16. Baker, R., et al.: Weighting and valuing quality-adjusted life-years using stated preference methods: preliminary results from the social value of a QALY project. Health Technol. Assess. 14(27), 1–162 (2010). doi:10.3310/hta14270

    Article  CAS  PubMed  Google Scholar 

  17. Dolan, P., Edlin, R., Tsuchiya A.: The relative societal value of health gains to different beneficiaries. HEDS Dicussion Paper 08/12, University of Sheffield (2008)

  18. Pinto-Prades, J.L., Loomes, G., Brey, R.: Trying to estimate a monetary value for the QALY. J. Health Econ. 28(3), 553–562 (2009)

    Article  PubMed  Google Scholar 

  19. Ryen, L., Svensson M.: The willingness to pay for a quality adjusted life year: a review of the empirical literature. Health Econ. (2014)

  20. NICE: National Institute for Clinical Excellence—Appraising life-extending,   treatments. https://www.nice.org.uk/guidance/gid-tag387/resources/appraising-life-extending-end-of-life-treatments-paper2 (2009). cited 18 April 2016

  21. Linley, W.G., Hughes, D.A.: Societal views on NICE, cancer drugs fund and value-based pricing criteria for prioritising medicines: a cross-sectional survey of 4118 adults in Great Britain. Health Econ. 22, 948–964 (2013)

    Article  PubMed  Google Scholar 

  22. Shah, K.K., Tsuchiya, A., Wailoo, A.J.: Valuing health at the end of life: an empirical study of public preferences. Eur. J. Health Econ. HEPAC Health Econ. Prev. Care 15(4), 389–399 (2014)

    Article  Google Scholar 

  23. Abel Olsen, J.: Priority preferences: “End of life” does not matter, but total life does. Value Health 16, 1063–1066 (2013)

    Article  PubMed  Google Scholar 

  24. Shah, K.K., Tsuchiya, A., Wailoo, A.J.: Valuing health at the end of life: a stated preference discrete choice experiment. Soc. Sci. Med. 124, 48–56 (2015)

    Article  PubMed  Google Scholar 

  25. Dolan, P., et al.: An inquiry into the different perspectives that can be used when eliciting preferences in health. Health Econ. 12, 545–551 (2003)

    Article  PubMed  Google Scholar 

  26. Dolan, P., Green, C.: Using the person trade-off approach to examine differences between individual and social values. Health Econ. 7(4), 307–312 (1998)

    Article  PubMed  CAS  Google Scholar 

  27. Pinto Prades, J., et al.: Valuing QALYs at the end of life. Soc. Sci. Med. 113, 5–14 (2014)

    Article  PubMed  Google Scholar 

  28. Gafni, A.: Willingness-to-pay as a measure of benefits. Relevant questions in the context of public decision-making about health care programs. Med. Care 29(12), 1246–1252 (1991)

    Article  PubMed  CAS  Google Scholar 

  29. Gyrd-Hansen, D.: Is there additional value attached to health gains at the end-of-life? A re-visit. COHERE—Centre of Health Economics Research, University of Southern Denmark, 2017. COHERE discussion paper No. 2/2017

  30. Gu, Y., et al.: Attributes and weights in health care priority setting: a systematic review of what counts and to what extent. Soc. Sci. Med. 146, 41–52 (2015)

    Article  PubMed  Google Scholar 

  31. Shah, K.: Does society wish to place greater weight on a unit of health gain for end-of-life patients than on that for other types of patients? Value Health 19(3), A266–A267 (2016)

    Article  Google Scholar 

  32. Shah, K.: Is willingness to pay higher for cancer prevention and treatment? J. Cancer Policy 11, 60–64 (2017)

    Article  Google Scholar 

  33. Andersson, H., Svensson, M.: Cognitive ability and scale bias in the contingent valuation method. Environ. Resour. Econ. 39, 481–495 (2008)

    Article  Google Scholar 

  34. Carson, R.T., Flores, N., Hanemann, M.: Sequencing and valuing public goods. J Environ. Econ. Manag. 36, 314–323 (1998)

    Article  Google Scholar 

  35. Pickard, A.S., et al.: Health utilities using the EQ-5D in studies of cancer. PharmacoEconomics 25(5), 365–384 (2007)

    Article  PubMed  Google Scholar 

  36. Bateman, I.J., et al.: Economic valuation with stated preference techniques—a manual. UK Department for Transport, Edward Elgar Publishing, Cheltenham (2002)

    Book  Google Scholar 

  37. Covey, J., Loomes, G., Bateman, I.: Valuing risk reductions: testing for range bias in payment card and random card sorting methods. J. Environ. Plan. Manag. 50(4), 467–482 (2007)

    Article  Google Scholar 

  38. Johannesson, M.: Theory and methods of economic evaluation of health care. Kluwer Academic Publishers, The Netherlands (1996)

    Book  Google Scholar 

  39. Svensson, M.: The value of a statistical life in Sweden: estimates from two studies using the “Certainty Approach” calibration. Accid. Anal. Prev. 41, 430–437 (2009)

    Article  PubMed  Google Scholar 

  40. Blumenschein, K., et al.: Hypothetical versus real willingness to pay in the health care sector: results from a field experiment. J. Health Econ. 20, 441–457 (2001)

    Article  PubMed  CAS  Google Scholar 

  41. Loomis, J.B.: 2013 WAEA Keynote Address: strategies for overcoming hypothetical bias in stated preference surveys. J. Agric. Resour. Econ. 39(1), 34–36 (2014)

    Google Scholar 

  42. SCB: Sveriges befolkning efter ålder och kön 31 december 2014. www.scb.se/sv_/Hitta-statistik/Statistik-efter-amne/Befolkning/Befolkningens-sammansattning/Befolkningsstatistik/25788/25795/Helarsstatistik—Riket/262459 (2015). cited 15 Dec 2015.

  43. SCB: Utbildningsnivå för befolkningen efter inrikes/utrikes född, kön och åldersgrupp 2015. http://www.scb.se/sv_/Hitta-statistik/Statistik-efter-amne/Utbildning-och-forskning/Befolkningens-utbildning/Befolkningens-utbildning/#c_undefined (2016). cited 4 July 2016

  44. SCB: Sammanräknad förvärvsinkomst för boende i Sverige den 31/12 resp år (antal personer, medel-och medianinkomst samt totalsumma) efter region, kön, ålder och inkomstklass. År 1991-2014 (Urval: medianinkomst, riket, båda könen, 20 år+, 2014). http://www.statistikdatabasen.scb.se/pxweb/sv/ssd/START__HE__HE0110__HE0110A/SamForvInk2/?rxid=c6e5be53-034e-4fa7-849f-7f277c9f18c2 (2016). cited 22 Aug 2016

  45. TLV: Ändring i Tandvårds- och läkemedelsförmånsverkets allmänna råd (TLVAR 2003:2) om ekonomiska utvärderingar (TLV 2017:1). https://www.tlv.se/Upload/Lagar_och_foreskrifter/TLVAR_2017_1.pdf. cited 16 June 2017

  46. Gyrd-Hansen, D., Kjaer, T.: Disentangling WTP per QALY data: different analytical approaches, different answers. Health Econ. 21(3), 222–237 (2012)

    Article  PubMed  Google Scholar 

  47. Statistics Sweden. Disponibel inkomst per konsumtionsenhet för hushåll 20-64 år efter hushållstyp 2014. http://www.scb.se/sv_/Hitta-statistik/Temaomraden/Jamstalldhet/Indikatorer/Ekonomisk-jamstalldhet/Inkomster-och-loner/Disponibel-inkomst-per-konsumtionsenhet-for-hushall-2064-ar-efter-hushallstyp-2014/ (2015). cited 7 Sep 2016

  48. Shepard, D.S., Zeckhauser, R.J.: Survival versus consumption. Manage 30(4), 423–439 (1984)

    Google Scholar 

  49. Aviles Blanco, M.V., et al.: Emotions and scope effects in the monetary valuation of health. Eur. J. Health Econ. 1–11 (2017). doi:10.1007/s10198-017-0885-7

  50. Johannesson, M., Meltzer, D.: Some reflections on cost-effectiveness analysis. Health Econ. 7(1), 1–7 (1998)

    Article  PubMed  CAS  Google Scholar 

  51. Viscusi, W.K.: Fatal tradeoffs: public and private responsibilities for risk. Oxford University Press, New York (1992)

    Google Scholar 

  52. de Blaeij, A., et al.: The value of statistical life in road safety: a meta-analysis. Accid. Anal. Prev. 35, 973–986 (2003)

    Article  PubMed  Google Scholar 

  53. Hultkrantz, L., Svensson, M.: The value of a statistical life in Sweden: a review of the empirical literature. Health Policy 108(2–3), 302–310 (2012)

    Article  PubMed  Google Scholar 

  54. Viscusi, W.K., Huber, J., Bell, J.: Assessing whether there is a cancer premium for the value of a statistical life. Health Econ. 23, 384–396 (2014)

    Article  PubMed  Google Scholar 

  55. Alberini, A., Scasny, M.: Exploring heterogenity in the value of a statistical life: cause of death v. risk perceptions. Ecol. Econ. 94, 143–155 (2013)

    Article  Google Scholar 

  56. Jones-Lee, M., Hammerton, M., Philips, P.R.: The value of safety: results of a national sample survey. Econ. J. 95, 49–72 (1985)

    Article  Google Scholar 

  57. Mason, H., Jones-Lee, M., Donaldson, C.: Modelling the monetary value of a QALY: a new approach based on UK data. Health Econ. 18(8), 933–950 (2009)

    Article  PubMed  Google Scholar 

  58. Gyrd-Hansen, D., Jensen, M.L., Kjaer, T.: Framing the willingness-to-pay question: impact on response patterns and mean willingness to pay. Health Econ. 23(5), 550–563 (2014)

    Article  PubMed  Google Scholar 

  59. Bobinac, A., et al.: The value of a QALY: individual willingness to pay for health gains under risk. PharmacoEconomics 32(1), 75–86 (2014)

    Article  PubMed  Google Scholar 

  60. Payne, J., et al.: Valuation of multiple environmental programs. J. Risk Uncertain. 21(1), 95–115 (2000)

    Article  Google Scholar 

  61. Nielsen, J., Kjaer, T.: Does question order influence sensitivity to scope? Empirical findings from a web-based contingent valuation survey. J. Environ. Plan. Manag. 54(3), 369–381 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Olofsson.

Ethics declarations

Funding

Janssen Pharmaceutica NV funded the project through an unrestricted Grant to IHE.

Conflict of interest

The authors declare that they have no conflicts of interest.

Ethics

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

Appendix

Cancer death

10-year risk (per 1000)

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

29

1

1

30

1

1

31

1

2

32

2

2

33

2

2

34

2

2

35

2

3

36

2

3

37

3

3

38

3

4

39

3

4

40

3

5

41

4

5

42

5

6

43

5

7

44

6

8

45

7

8

46

8

10

47

9

11

48

10

12

49

12

14

50

13

15

51

15

17

52

17

18

53

20

20

54

22

22

55

24

24

56

28

27

57

31

29

58

35

32

59

38

35

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

  1. Ref = The National Board of Health and Welfare (NBHW), Cause of death registry, Diagnosis C00-D48 (tumors), Number of deaths per 100,000 persons in 2014. Some risks for lower ages (men <28 years and women <25 years) are rounded to 1

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10198-017-0922-6

Keywords

JEL Classification

Navigation