Literature DB >> 32975737

High-Efficacy Disease-Modifying Therapies in People with Relapsing-Remitting Multiple Sclerosis: The Role of Risk Attitude in Treatment Decisions.

Jorge Maurino1, Javier Sotoca2, Ángel P Sempere3, Luis Brieva4, Carlos López de Silanes5, Ana B Caminero6, María Terzaghi7, Julia Gracia-Gil8, Gustavo Saposnik7,9,10.   

Abstract

BACKGROUND: Risk attitude is defined as the willingness to tolerate risk to achieve a greater expected return. Limited information is available on how relapsing-remitting multiple sclerosis people's perceptions about disease trajectory and risk attitude may influence treatment choices.
METHODS: A non-interventional study applying principles of behavioral economics was conducted to assess willingness to receive unwarranted high-efficacy disease-modifying therapy (DMT) according to best-practice guidelines. People with relapsing-remitting multiple sclerosis (PwRRMS) according to 2010 McDonald criteria completed a survey on symptom severity, risk preferences, and management of simulated case scenarios mimicking the current treatment landscape. PwRRMS's choice for high-efficacy agents was established as the participant's selection of monoclonal antibodies for case scenarios with at least 2 years of clinical and radiological stability.
RESULTS: A total of 211 PwRRMS were studied (mean age 39.1 ± 9.5 years, 70.1% female, mean Expanded Disability Status Scale score 1.8 ± 1.1). Almost 50% (n = 96) opted for a high-efficacy DMT despite the lack of evidence of disease activity. Younger age and risk-seeking behavior were associated with an increased likelihood of selecting unwarranted high-efficacy DMT [odds ratio (OR) 2.00, 95% confidence interval (CI) 1.02-3.93, p = 0.043, and OR 2.17, 95% CI 1.09-4.30, p = 0.027, respectively]. Clinical characteristics or subjective perception of symptom severity had no influence on participants' treatment choices.
CONCLUSION: Identifying PwRRMS with risk-seeking behavior would be crucial to implementing specific educational strategies to manage information on disease prognosis, treatment expectations, and safety risk knowledge.

Entities:  

Year:  2020        PMID: 32975737     DOI: 10.1007/s40271-020-00454-3

Source DB:  PubMed          Journal:  Patient        ISSN: 1178-1653            Impact factor:   3.883


  4 in total

1.  BAG3 p.Pro209Ser mutation identified in a Chinese family with Charcot-Marie-Tooth disease.

Authors:  Jun Fu; Mingming Ma; Jia Song; Mi Pang; Gang Li; Jiewen Zhang
Journal:  J Neurol       Date:  2019-12-18       Impact factor: 4.849

2.  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

3.  Decision-making in Multiple Sclerosis: The Role of Aversion to Ambiguity for Therapeutic Inertia among Neurologists (DIScUTIR MS).

Authors:  Gustavo Saposnik; Angel P Sempere; Daniel Prefasi; Daniel Selchen; Christian C Ruff; Jorge Maurino; Philippe N Tobler
Journal:  Front Neurol       Date:  2017-03-01       Impact factor: 4.003

Review 4.  'It struck at the heart of who I thought I was': A meta-synthesis of the qualitative literature examining the experiences of people with multiple sclerosis.

Authors:  Jane Desborough; Crystal Brunoro; Anne Parkinson; Katrina Chisholm; Mark Elisha; Janet Drew; Vanessa Fanning; Christian Lueck; Anne Bruestle; Matthew Cook; Hanna Suominen; Antonio Tricoli; Adam Henschke; Christine Phillips
Journal:  Health Expect       Date:  2020-06-24       Impact factor: 3.377

  4 in total

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