Myeloma Patient Value Mapping: A Discrete Choice Experiment on Myeloma Treatment Preferences in the UK.

dashboards discrete choice experiment health technology assessment myeloma patient preferences

Journal

Patient preference and adherence
ISSN: 1177-889X
Titre abrégé: Patient Prefer Adherence
Pays: New Zealand
ID NLM: 101475748

Informations de publication

Date de publication:
2020
Historique:
received: 30 04 2020
accepted: 02 07 2020
entrez: 18 8 2020
pubmed: 18 8 2020
medline: 18 8 2020
Statut: epublish

Résumé

Myeloma is an incurable life-threatening hematological cancer. Recent treatment developments have seen improvements in survival; however, while patients are living longer, they are living with symptoms and treatment side effects. To evaluate myeloma patients' preferences for treatment using a discrete choice experiment (DCE). This study set out to define the relative importance of key treatment attributes, characterize the risk-benefit trade-offs in patients' decision-making, and to analyze the predictive power of basic demographic factors. Four hundred seventy-five myeloma patients in the UK were invited to participate by Myeloma UK. Data were collected using DCEs through an online survey. The DCEs presented patients with 10 choice scenarios, each with 2 treatment options described by 7 attributes, and a "no treatment" option. The DCE data were modelled using a latent class model (LCM). The effects of demographic characteristics were also examined. Not surprisingly, average survival was most important to all patients but there were significant contrasts between the class preferences. The LCM revealed two classes of patients. Patients in Class 1 placed greater importance on average survival and mild-to-moderate side effects, whereas patients in Class 2 focused on the mode of administration and the average out-of-pocket costs. Patients living with others and those diagnosed in the last 5 years were more likely to be in Class 1. Different treatment features were not valued equally among all myeloma patients. This has important implications for healthcare policy decisions and could be used to guide decisions around the value of new myeloma medicines.

Sections du résumé

BACKGROUND BACKGROUND
Myeloma is an incurable life-threatening hematological cancer. Recent treatment developments have seen improvements in survival; however, while patients are living longer, they are living with symptoms and treatment side effects.
OBJECTIVE OBJECTIVE
To evaluate myeloma patients' preferences for treatment using a discrete choice experiment (DCE). This study set out to define the relative importance of key treatment attributes, characterize the risk-benefit trade-offs in patients' decision-making, and to analyze the predictive power of basic demographic factors.
METHODS METHODS
Four hundred seventy-five myeloma patients in the UK were invited to participate by Myeloma UK. Data were collected using DCEs through an online survey. The DCEs presented patients with 10 choice scenarios, each with 2 treatment options described by 7 attributes, and a "no treatment" option. The DCE data were modelled using a latent class model (LCM). The effects of demographic characteristics were also examined.
RESULTS RESULTS
Not surprisingly, average survival was most important to all patients but there were significant contrasts between the class preferences. The LCM revealed two classes of patients. Patients in Class 1 placed greater importance on average survival and mild-to-moderate side effects, whereas patients in Class 2 focused on the mode of administration and the average out-of-pocket costs. Patients living with others and those diagnosed in the last 5 years were more likely to be in Class 1.
CONCLUSION CONCLUSIONS
Different treatment features were not valued equally among all myeloma patients. This has important implications for healthcare policy decisions and could be used to guide decisions around the value of new myeloma medicines.

Identifiants

pubmed: 32801659
doi: 10.2147/PPA.S259612
pii: 259612
pmc: PMC7395685
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1283-1293

Informations de copyright

© 2020 Fifer et al.

Déclaration de conflit d'intérêts

Jayne Galinsky and Sarah Richard were both employees of Myeloma UK. Simon Fifer is a Director of CaPPRe who were contracted by Myeloma UK to design the experiment, provide data management and conduct the analysis. Simon Fifer reports grants from Myeloma UK, during the conduct of the study; CaPPRe fees from Abbvie, Amgen, AstraZeneca, Celgene, GSK, Ipsen, Janssen, Roche, Sanofi, and Shire, outside the submitted work. The authors report no other conflicts of interest in this work.

Références

Value Health. 2016 Jun;19(4):300-15
pubmed: 27325321
Eur J Haematol. 2009 Aug;83(2):139-48
pubmed: 19284418
Patient. 2019 Jun;12(3):287-295
pubmed: 30906968
Pharmacoeconomics. 2020 Jun;38(6):593-606
pubmed: 32128726
Oncologist. 2018 Jan;23(1):44-51
pubmed: 29079638
Psychooncology. 2011 Jan;20(1):88-97
pubmed: 20187072
Br J Cancer. 2001 Jun 15;84(12):1577-85
pubmed: 11401308
Br J Haematol. 2016 Oct;175(2):252-264
pubmed: 27411022
N Engl J Med. 2011 Mar 17;364(11):1046-60
pubmed: 21410373
Eur J Health Econ. 2011 Jun;12(3):193-203
pubmed: 20107856
Eur J Haematol. 2012 Dec;89(6):437-57
pubmed: 22985406
BMC Cancer. 2015 Apr 14;15:280
pubmed: 25884627
Pharmacoeconomics. 2019 Feb;37(2):201-226
pubmed: 30392040
BMC Health Serv Res. 2018 Aug 30;18(1):675
pubmed: 30165844
Patient Prefer Adherence. 2018 Nov 09;12:2387-2396
pubmed: 30519004
Psychosoc Med. 2008 Dec 19;5:Doc10
pubmed: 19742282
Cancer Treat Rev. 2014 Sep;40(8):1005-18
pubmed: 24986544
Value Health. 2011 Jun;14(4):403-13
pubmed: 21669364
Clin Ther. 2018 Feb;40(2):296-308.e2
pubmed: 29358004
Value Health. 2013 Jan-Feb;16(1):3-13
pubmed: 23337210
Pharmacoeconomics. 2018 Feb;36(2):175-187
pubmed: 28975582
Med Decis Making. 2001 Mar-Apr;21(2):113-21
pubmed: 11310944
Pain. 2001 Jan;89(2-3):175-80
pubmed: 11166473
Patient. 2015 Oct;8(5):373-84
pubmed: 25726010

Auteurs

Simon Fifer (S)

Community and Patient Preference Research (CaPPRe), Sydney, NSW, Australia.

Jayne Galinsky (J)

Myeloma UK, Edinburgh, Scotland.

Sarah Richard (S)

PRMA, Edinburgh, Scotland.

Classifications MeSH