Literature DB >> 27366235

Quantitative analysis of multiple sclerosis patients' preferences for drug treatment: a best-worst scaling study.

Larry D Lynd1, Anthony Traboulsee2, Carlo A Marra3, Nicole Mittmann4, Charity Evans5, Kathy H Li6, Melanie Carter6, Celestin Hategekimana6.   

Abstract

BACKGROUND: With recent developments in drug therapy for multiple sclerosis (MS), new treatment options have become available presenting patients with complex treatment decisions.
OBJECTIVES: The objective of this study was to elicit patients' preferences for different attributes of MS drug therapy.
METHODS: A representative sample of patients with MS across Canada (n=189) participated in a best-worst scaling study to quantify preferences for different attributes of MS drug therapy, including delaying progression, improving symptoms, preventing relapse, minor side effects, rare but serious adverse events (SAEs), and route of administration. Conditional logit models were fitted to estimate the relative importance of each attribute in influencing patients' preferences.
RESULTS: A latent-class analysis revealed heterogeneity of preferences across respondents, with preferences differing across five classes. The most important attributes of drug therapy were the avoidance of SAEs for three classes and the improvement of symptoms for two other classes. Only a smaller group of patients demonstrated a specific preference for avoiding SAEs, and route of administration.
CONCLUSION: This study shows that preferences for drug therapy among patients with MS are different, some of which can be explained by experiences with their disease and treatment. These findings can help to inform the focus of interactions that healthcare practitioners have with patients with MS, as well as further drug development.

Entities:  

Keywords:  best–worst scaling; multiple sclerosis; patient preference; risk to benefit tradeoff

Year:  2016        PMID: 27366235      PMCID: PMC4916526          DOI: 10.1177/1756285616648060

Source DB:  PubMed          Journal:  Ther Adv Neurol Disord        ISSN: 1756-2856            Impact factor:   6.570


  16 in total

1.  Best-worst scaling vs. discrete choice experiments: an empirical comparison using social care data.

Authors:  Dimitris Potoglou; Peter Burge; Terry Flynn; Ann Netten; Juliette Malley; Julien Forder; John E Brazier
Journal:  Soc Sci Med       Date:  2011-04-05       Impact factor: 4.634

2.  Societal preferences for rheumatoid arthritis treatments: evidence from a discrete choice experiment.

Authors:  Mark Harrison; Carlo Marra; Kam Shojania; Nick Bansback
Journal:  Rheumatology (Oxford)       Date:  2015-05-18       Impact factor: 7.580

3.  Patient preferences for attributes of multiple sclerosis disease-modifying therapies: development and results of a ratings-based conjoint analysis.

Authors:  Leslie S Wilson; Aimee Loucks; Gregory Gipson; Lixian Zhong; Christine Bui; Elizabeth Miller; Mary Owen; Daniel Pelletier; Douglas Goodin; Emmanuelle Waubant; Charles E McCulloch
Journal:  Int J MS Care       Date:  2015 Mar-Apr

Review 4.  Multiple sclerosis: current and emerging disease-modifying therapies and treatment strategies.

Authors:  Dean M Wingerchuk; Jonathan L Carter
Journal:  Mayo Clin Proc       Date:  2014-02       Impact factor: 7.616

Review 5.  Oral disease-modifying therapies for relapsing-remitting multiple sclerosis.

Authors:  Rachel Hutchins Thomas; Richard A Wakefield
Journal:  Am J Health Syst Pharm       Date:  2015-01-01       Impact factor: 2.637

6.  Best--worst scaling: What it can do for health care research and how to do it.

Authors:  Terry N Flynn; Jordan J Louviere; Tim J Peters; Joanna Coast
Journal:  J Health Econ       Date:  2006-05-16       Impact factor: 3.883

7.  A discrete choice experiment evaluation of patients' preferences for different risk, benefit, and delivery attributes of insulin therapy for diabetes management.

Authors:  Camila Guimarães; Carlo A Marra; Sabrina Gill; Scot Simpson; Graydon Meneilly; Regina Hc Queiroz; Larry D Lynd
Journal:  Patient Prefer Adherence       Date:  2010-12-08       Impact factor: 2.711

8.  Estimating preferences for a dermatology consultation using Best-Worst Scaling: comparison of various methods of analysis.

Authors:  Terry N Flynn; Jordan J Louviere; Tim J Peters; Joanna Coast
Journal:  BMC Med Res Methodol       Date:  2008-11-18       Impact factor: 4.615

9.  Preferences of patients and health professionals for route and frequency of administration of biologic agents in the treatment of rheumatoid arthritis.

Authors:  Tuan Khai Huynh; Ann Ostergaard; Charlotte Egsmose; Ole Rintek Madsen
Journal:  Patient Prefer Adherence       Date:  2014-01-20       Impact factor: 2.711

Review 10.  Current and future therapies for multiple sclerosis.

Authors:  Alireza Minagar
Journal:  Scientifica (Cairo)       Date:  2013-02-07
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  14 in total

1.  A Systematic Review of Discrete-Choice Experiments and Conjoint Analysis Studies in People with Multiple Sclerosis.

Authors:  Edward J D Webb; David Meads; Ieva Eskyte; Natalie King; Naila Dracup; Jeremy Chataway; Helen L Ford; Joachim Marti; Sue H Pavitt; Klaus Schmierer; Ana Manzano
Journal:  Patient       Date:  2018-08       Impact factor: 3.883

2.  Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review.

Authors:  Mo Zhou; Winter Maxwell Thayer; John F P Bridges
Journal:  Pharmacoeconomics       Date:  2018-02       Impact factor: 4.981

3.  The Impact of Reproductive Issues on Preferences of Women with Relapsing Multiple Sclerosis for Disease-Modifying Treatments.

Authors:  Edward J D Webb; David Meads; Ieva Eskytė; Helen L Ford; Hilary L Bekker; Jeremy Chataway; George Pepper; Joachim Marti; Yasmina Okan; Sue H Pavitt; Klaus Schmierer; Ana Manzano
Journal:  Patient       Date:  2020-10       Impact factor: 3.883

4.  Association of Unemployment and Informal Care with Stigma in Multiple Sclerosis: Evidence from the Survey on Living with Neurological Conditions in Canada.

Authors:  Celestin Hategeka; Anthony L Traboulsee; Katrina McMullen; Larry D Lynd
Journal:  Int J MS Care       Date:  2019 Sep-Oct

5.  Perspectives of Patients with Multiple Sclerosis on Drug Treatment: A Qualitative Study.

Authors:  Larry D Lynd; Natalie J Henrich; Celestin Hategeka; Carlo A Marra; Nicole Mittmann; Charity Evans; Anthony L Traboulsee
Journal:  Int J MS Care       Date:  2018 Nov-Dec

6.  Comparison of preferences of healthcare professionals and MS patients for attributes of disease-modifying drugs: A best-worst scaling.

Authors:  Ingrid E H Kremer; Silvia M A A Evers; Peter J Jongen; Mickaël Hiligsmann
Journal:  Health Expect       Date:  2017-07-21       Impact factor: 3.377

7.  Using a multidimensional unfolding approach to assess multiple sclerosis patient preferences for disease-modifying therapy: a pilot study.

Authors:  Angel Perez Sempere; Vanesa Vera-Lopez; Juana Gimenez-Martinez; Elena Ruiz-Beato; Jesús Cuervo; Jorge Maurino
Journal:  Patient Prefer Adherence       Date:  2017-05-29       Impact factor: 2.711

8.  Conjoint analysis to understand preferences of patients with multiple sclerosis for disease-modifying therapy attributes in Spain: a cross-sectional observational study.

Authors:  Rafael Arroyo; Angel P Sempere; Elena Ruiz-Beato; Daniel Prefasi; Agata Carreño; Montse Roset; Jorge Maurino
Journal:  BMJ Open       Date:  2017-03-08       Impact factor: 2.692

9.  Factors associated with time from first-symptoms to diagnosis and treatment initiation of Multiple Sclerosis in Switzerland.

Authors:  Marco Kaufmann; Jens Kuhle; Milo A Puhan; Christian P Kamm; Andrew Chan; Anke Salmen; Jürg Kesselring; Pasquale Calabrese; Claudio Gobbi; Caroline Pot; Nina Steinemann; Stephanie Rodgers; Viktor von Wyl
Journal:  Mult Scler J Exp Transl Clin       Date:  2018-12-06

10.  Preliminary testing of a patient decision aid for patients with relapsing-remitting multiple sclerosis.

Authors:  Nick Bansback; Judy A Chiu; Rebecca Metcalfe; Emmanuelle Lapointe; Alice Schabas; Marilyn Lenzen; Anthony Traboulsee; Larry D Lynd; Robert Carruthers
Journal:  Mult Scler J Exp Transl Clin       Date:  2021-07-15
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