Patient and Neurologist Preferences in the United States for Relapsing-Remitting Multiple Sclerosis Treatments: Findings from a Discrete Choice Experiment

Early use of high-efficacy therapies in multiple sclerosis in the United States: benefits, barriers, and strategies for encouraging adoption

Multiple sclerosis (MS) is characterized by progressive neuroinflammation and neurodegeneration from disease onset that, if left untreated, can result in the accumulation of irreversible neurological disability. Early intervention with high-efficacy therapies (HETs) is increasingly recognized as the best strategy to delay or mitigate disease progression from the earliest stages of the disease and to prevent long-term neurodegeneration. Although there is growing clinical and real-world evidence supporting early HET intervention, foregoing this strategy in favor of a traditional escalation approach prioritizing lower-efficacy disease-modifying therapies remains a common approach in clinical practice. This review explores potential health care professional- and patient-related barriers to the early use of HETs in patients with MS in the United States. Barriers can include regulatory and reimbursement restrictions; knowledge gaps and long-term safety concerns among health care professionals; and various individual, cultural, and societal factors affecting patients. Potential strategies for overcoming these barriers and encouraging early HET use are proposed.

Insights for Healthcare Providers on Shared Decision-Making in Multiple Sclerosis: A Narrative Review

Shared decision-making (SDM) between the patient and their healthcare provider (HCP) in developing treatment plans is increasingly recognized as central to improving treatment adherence and, ultimately, patient outcomes. In multiple sclerosis (MS), SDM is particularly crucial for optimizing treatment in a landscape that has grown more complex with the availability of newer, high-efficacy MS therapies. However, little direct evidence on the effectiveness of SDM is available to guide practice. Multiple factors, including patient age, ethnic background, perceptions, invisible MS symptoms, and psychological comorbidities can influence a patient's willingness and ability to participate in SDM. HCPs need to appreciate these factors and ask the right questions to break down obstacles to SDM. The HCP has a responsibility to help patients feel adequately informed and comfortable in having an active role in their care. This review identifies potential barriers to SDM and provides a strategy for HCPs to overcome these obstacles through patient (and caregiver) discussions to ensure optimal patient satisfaction with treatment and thus the best possible outcomes for their patients.

Shared decision making in the treatment of multiple sclerosis: A consensus based on Delphi methodology

Shared decision making is a way of incorporating patients' preferences and values into the decisions regarding the treatment and follow-up plan for the condition that affects them. It is currently applied mainly in the context of chronic disorders for which there is no cure available but nevertheless many therapeutic alternatives, such as multiple sclerosis (MS). Current views and opinions on shared decision making for the treatment of MS are discussed in this consensus based on a modified Delphi method that included a group of neurologists from Argentina. A set of statements was defined by the experts and seeks to serve as a guide to apply this concept in clinical practice.

Real-world treatment preferences among health care providers in the United States in selecting disease modifying therapies for patients with multiple sclerosis: a discrete choice experiment

AIMS

Health care providers (HCPs) treating multiple sclerosis (MS) in clinical practice have numerous disease-modifying therapies (DMTs) to consider when evaluating treatment options. This study assessed the treatment preferences of HCPs in the United States, both direct (explicit) and derived (explicit and implicit), when selecting MS DMTs based on clinical and logistical treatment attributes.

MATERIALS AND METHODS

A 45-minute web-enabled questionnaire was administered to HCPs who manage patients with MS to assess the importance of treatment attributes. HCPs were recruited through an online panel. This study examined treatment attributes relevant to treatment decisions in MS, with a focus on the burden to HCPs and their staff, as well as HCP attitudes toward various aspects of MS care such as diagnosis, treatment prioritization, and ease of initiating or switching DMTs. The study also employed a discrete choice experiment (DCE) to assess direct and derived treatment preferences.

RESULTS

The study recruited 145 HCPs. Direct assessments (a score of greater than 7.0 was considered important) suggested that safety (mean importance rating = 7.8/9) and relative risk reduction in relapses (7.6/9) and disability progression (7.5/9) were most important when selecting DMTs. In contrast, derived importance from the DCE (higher points corresponding to greater importance) suggested that logistical attributes such as dose frequency (mean relative attribute importance = 17.5%), dose titration (10.3%), formulation (9.4%), and volume of calls (9.1%) were important considerations, along with efficacy (16.5%), safety (9.8%), and gastrointestinal tolerability (9.4%).

LIMITATIONS

This study may have been subject to selection bias due to the application of eligibility criteria, the convenient sampling recruitment methodology, and recruitment of HCPs with internet access.

CONCLUSION

In the direct assessment, clinical attributes were chosen as the most important treatment attributes by HCPs. However, in the DCE, derived treatment decisions rated logistical attributes as also being as important in treatment choice.

TODIM method based on the CRITIC method for multi-attribute group decision making with dual probabilistic linguistic information

The main research of this paper is decision making under the dual probabilistic linguistic term sets (DPLTSs). This paper introduces a method, which combined TODIM method and CRITIC method. In this research, the CRITIC method is used to determine the weight, and the distance formula of TODIM method has been modified in order to adapt to DPLTS situation. Then, the TODIM method is used for multi-attribute group decision making (MAGDM) problem. Finally, a case study concerning investment project selection is given to demonstrate the merits of the developed methods. This combined method can be used for the automatic areal feature matching, medical quality assessment, and ranking of matching processes. There are very few papers about using TODIM method under DPLTS situation at present, so this is a new perspective on MAGDM. The DPLTS-TODIM-CRITIC method was compared with correlation coefficient method and closeness coefficient method, and it is easy to find the advantage of this new method over the other two existing methods.