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Published in: BMC Cancer 1/2017

Open Access 01-12-2017 | Research article

Societal preferences for adjuvant melanoma health states: UK and Australia

Authors: Mark R. Middleton, Michael B. Atkins, Kaitlan Amos, Peter Feng Wang, Srividya Kotapati, Javier Sabater, Kathleen Beusterien

Published in: BMC Cancer | Issue 1/2017

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Abstract

Background

No studies have measured preference-based utility weights for specific toxicities and outcomes associated with approved and investigational adjuvant treatments for patients with resected high-risk melanoma.

Methods

A cross-sectional study was conducted in the United Kingdom and Australia to obtain utilities for 14 adjuvant melanoma health states. One-on-one interviews were conducted using standard gamble; utility weights range from 0.0, dead, to 1.0, full health. Supplemental risk questions also were asked.

Results

Among 155 participants (52% male; mean age, 46 years) “adjuvant treatment no toxicities” (0.89) was most preferred, followed by “induction treatment” (0.88), and “no treatment” (0.86). Participants least preferred “cancer recurrence” (0.62); the utility for “cancer recurrence and 10-year survival with treatment” was 0.70. Disutilities for grade 2 toxicities ranged from −0.06 for fatigue to −0.13 for hypophysitis. The mean maximum acceptable risk of a life-threatening event ranged from 30% for a 6% increase in the chance of remaining cancer free over 3 years to 40% for an 18% increase; Australian respondents were willing to take higher risks.

Conclusion

Reproducible health utilities for adjuvant melanoma health states were obtained from the general population in two countries. These utilities can be incorporated into treatment-specific cost-effectiveness evaluations.
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Literature
3.
go back to reference Baade PD, Royston P, Youl PH, Weinstock MA, Geller A, Aitken JF. Prognostic survival model for people diagnosed with invasive cutaneous melanoma. BMC Cancer. 2015;15:27.CrossRefPubMedPubMedCentral Baade PD, Royston P, Youl PH, Weinstock MA, Geller A, Aitken JF. Prognostic survival model for people diagnosed with invasive cutaneous melanoma. BMC Cancer. 2015;15:27.CrossRefPubMedPubMedCentral
4.
go back to reference Garbe C, Peris K, Hauschild, et al. Diagnosis and treatment of melanoma. European consensus-based interdisciplinary guideline-update 2012. Eur J Cancer. 2012;48:2375–90.CrossRefPubMed Garbe C, Peris K, Hauschild, et al. Diagnosis and treatment of melanoma. European consensus-based interdisciplinary guideline-update 2012. Eur J Cancer. 2012;48:2375–90.CrossRefPubMed
5.
go back to reference Grob JJ, Jouary T, Dréno B, et al. Adjuvant therapy with pegylated interferon alfa-2b (36 months) versus low-dose interferon alfa-2b (18 months) in melanoma patients without macrometastatic nodes: an open-label, randomised, phase 3 European Association for Dermato-Oncology (EADO) study. Eur J Cancer. 2013;49(1):166–74.CrossRefPubMed Grob JJ, Jouary T, Dréno B, et al. Adjuvant therapy with pegylated interferon alfa-2b (36 months) versus low-dose interferon alfa-2b (18 months) in melanoma patients without macrometastatic nodes: an open-label, randomised, phase 3 European Association for Dermato-Oncology (EADO) study. Eur J Cancer. 2013;49(1):166–74.CrossRefPubMed
6.
go back to reference Eggermont AM, Chiarion-Sileni V, Grob JJ, et al. Adjuvant ipilimumab versus placebo after complete resection of high-risk stage III melanoma (EORTC 18071): a randomised, double-blind, phase 3 trial. Lancet Oncol. 2015;16(5):522–30.CrossRefPubMed Eggermont AM, Chiarion-Sileni V, Grob JJ, et al. Adjuvant ipilimumab versus placebo after complete resection of high-risk stage III melanoma (EORTC 18071): a randomised, double-blind, phase 3 trial. Lancet Oncol. 2015;16(5):522–30.CrossRefPubMed
7.
go back to reference Kilbridge KL, Weeks JC, Sober AJ, Haluska FG, Slingluff CL, Atkins MB, Sock DE, Kirkwood JM, Nease RF. Patient preferences for adjuvant interferon alfa-2b treatment. J Clin Oncol. 2001;19(3):812–23.CrossRefPubMed Kilbridge KL, Weeks JC, Sober AJ, Haluska FG, Slingluff CL, Atkins MB, Sock DE, Kirkwood JM, Nease RF. Patient preferences for adjuvant interferon alfa-2b treatment. J Clin Oncol. 2001;19(3):812–23.CrossRefPubMed
8.
go back to reference National Institute for Health and Care Excellence, 2013 http://publications.nice.org.uk/guide-to-the-methods-of-technology-appraisal-2013-pmg9. Accessed 01 July 2014. National Institute for Health and Care Excellence, 2013 http://​publications.​nice.​org.​uk/​guide-to-the-methods-of-technology-appraisal-2013-pmg9.​ Accessed 01 July 2014.
9.
go back to reference Kaehler KC, Blome C, Forschner A, et al. Preferences of German melanoma patients for interferon (IFN) α-2b toxicities (the DeCOG "GERMELATOX survey") versus melanoma recurrence to quantify patients' relative values for adjuvant therapy. Medicine (Baltimore). 2016;95(46):e5375.CrossRef Kaehler KC, Blome C, Forschner A, et al. Preferences of German melanoma patients for interferon (IFN) α-2b toxicities (the DeCOG "GERMELATOX survey") versus melanoma recurrence to quantify patients' relative values for adjuvant therapy. Medicine (Baltimore). 2016;95(46):e5375.CrossRef
10.
go back to reference Gries KS, Regier DA, Ramsey SD, Patrick DL. Utility estimates of disease-specific health states in prostate cancer from three different perspectives. Appl Health Econ Health Policy. 2017;15(3):375–84.CrossRefPubMed Gries KS, Regier DA, Ramsey SD, Patrick DL. Utility estimates of disease-specific health states in prostate cancer from three different perspectives. Appl Health Econ Health Policy. 2017;15(3):375–84.CrossRefPubMed
11.
go back to reference Fu AZ, Graves KD, Jensen RE, Marshall JL, Formoso M, Potosky AL. Patient preference and decision-making for initiating metastatic colorectal cancer medical treatment. J Cancer Res Clin Oncol. 2016;142(3):699–706. Fu AZ, Graves KD, Jensen RE, Marshall JL, Formoso M, Potosky AL. Patient preference and decision-making for initiating metastatic colorectal cancer medical treatment. J Cancer Res Clin Oncol. 2016;142(3):699–706.
12.
go back to reference Burton M, Kilner K, Wyld L, Lifford KJ, Gordon F, Allison A, Reed M, Collins KA. Information needs and decision making preferences of older women offered a choice between surgery and primary endocrine therapy for early breast cancer. Psychooncology. 2017 Mar 23; doi: 10.1002/pon.4429. Burton M, Kilner K, Wyld L, Lifford KJ, Gordon F, Allison A, Reed M, Collins KA. Information needs and decision making preferences of older women offered a choice between surgery and primary endocrine therapy for early breast cancer. Psychooncology. 2017 Mar 23; doi: 10.​1002/​pon.​4429.​
13.
go back to reference Vaz-Luis I, O'Neill A, Sepucha K, Miller KD, Baker E, Dang CT, Northfelt DW, Winer EP, Sledge GW, Schneider B, Partridge AH. Survival benefit needed to undergo chemotherapy: patient and physician preferences. Cancer. 2017 Mar 21; doi: 10.1002/cncr.30671. Vaz-Luis I, O'Neill A, Sepucha K, Miller KD, Baker E, Dang CT, Northfelt DW, Winer EP, Sledge GW, Schneider B, Partridge AH. Survival benefit needed to undergo chemotherapy: patient and physician preferences. Cancer. 2017 Mar 21; doi: 10.​1002/​cncr.​30671.​
14.
go back to reference Dixon S, Walters SJ, Turner I, Hancock BW. Quality of life and cost-effectiveness of interferon alpha in malignant melanoma: results from randomized trial. Br J Cancer. 2006;94:492–8.CrossRefPubMedPubMedCentral Dixon S, Walters SJ, Turner I, Hancock BW. Quality of life and cost-effectiveness of interferon alpha in malignant melanoma: results from randomized trial. Br J Cancer. 2006;94:492–8.CrossRefPubMedPubMedCentral
15.
go back to reference Torrance GW. Measurement of health state utilities for economic appraisal. J Health Econ. 1986;5c:1–30.CrossRef Torrance GW. Measurement of health state utilities for economic appraisal. J Health Econ. 1986;5c:1–30.CrossRef
16.
go back to reference Schadendorf D, Hodi FS, et al. Pooled analysis of long-term survival data from phase III trials of ipilimumab in unresectable or metastatic melanoma. J Clin Oncol. 2014;56:2736. Schadendorf D, Hodi FS, et al. Pooled analysis of long-term survival data from phase III trials of ipilimumab in unresectable or metastatic melanoma. J Clin Oncol. 2014;56:2736.
17.
go back to reference National Cancer Institute. http://ctep.cancer.gov/protocolDevelopment/electronic_applications/ctc.htm. Accessed 10 Mar 2015. National Cancer Institute. http://​ctep.​cancer.​gov/​protocolDevelopm​ent/​electronic_​applications/​ctc.​htm.​ Accessed 10 Mar 2015.
18.
go back to reference Hulley SB, Cummings SR. Appendix 13D in designing clinical research: an epidemiological approach. Baltimore, MD: Williams & Wilkins; 1998. Hulley SB, Cummings SR. Appendix 13D in designing clinical research: an epidemiological approach. Baltimore, MD: Williams & Wilkins; 1998.
21.
go back to reference Beusterien KM, Szabo SM, Kotapati S, et al. Societal preference values for advanced melanoma health states in the United Kingdom and Australia. Br J Cancer. 2009;101(3):387–9.CrossRefPubMedPubMedCentral Beusterien KM, Szabo SM, Kotapati S, et al. Societal preference values for advanced melanoma health states in the United Kingdom and Australia. Br J Cancer. 2009;101(3):387–9.CrossRefPubMedPubMedCentral
22.
go back to reference Matza LS, Boye KS, Feeny DH, et al. Impact of caregiver and parenting status on time trade-off and standard gamble utility scores for health state description. Health Quality Life Outcomes. 2014;12:48.CrossRef Matza LS, Boye KS, Feeny DH, et al. Impact of caregiver and parenting status on time trade-off and standard gamble utility scores for health state description. Health Quality Life Outcomes. 2014;12:48.CrossRef
23.
go back to reference Dale W, Basu A, Elstein A, Meltzer D. Predicting utility ratings for joint health states from single health states in prostate cancer: empirical testing of 3 alternative theories. Med Decis Mak. 2002;28:102–12.CrossRef Dale W, Basu A, Elstein A, Meltzer D. Predicting utility ratings for joint health states from single health states in prostate cancer: empirical testing of 3 alternative theories. Med Decis Mak. 2002;28:102–12.CrossRef
24.
go back to reference Fu AZ, Kattan MW. Utilities should not be multiplied: evidence from the preference-based scores in the United States. Med Care. 2008;46:984–90. Fu AZ, Kattan MW. Utilities should not be multiplied: evidence from the preference-based scores in the United States. Med Care. 2008;46:984–90.
Metadata
Title
Societal preferences for adjuvant melanoma health states: UK and Australia
Authors
Mark R. Middleton
Michael B. Atkins
Kaitlan Amos
Peter Feng Wang
Srividya Kotapati
Javier Sabater
Kathleen Beusterien
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2017
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-017-3673-y

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