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.

In this study, researchers aimed to understand what multiple sclerosis (MS) neurologists, nurse practitioners, and physician assistants think is most important when choosing medicines for their patients. They surveyed 145 health care providers (HCPs) in the United States for this study. The HCPs reported that safety and reducing the risk of relapses and disability were most important when selecting medicines. Additionally, the researchers used a method called a discrete choice experiment to determine the relative importance of medication characteristics to HCPs. They found that additional factors, such as how often the medicine needs to be taken, how it is given, and how easy it is to use, were also very important. The study may not represent the opinions of all HCPs due to the number of participants and participation criteria.

Impact of Shared Decision Making on Disease-Modifying Drug Adherence in Multiple Sclerosis.

BACKGROUND: Shared decision making (SDM) and adherence to treatment are an integral part of multiple sclerosis (MS) care. A collaborative process, SDM actively involves the patient, the health care provider, and an extended network in making treatment decisions. Adherence to disease-modifying drug therapies in patients with MS presents an ongoing challenge for patients and health care providers due to the chronic nature of this disease. This narrative review aims to explore the impact of SDM on adherence based on existing literature and to identify new approaches to optimizing adherence. METHODS: A search was conducted using medical subject heading terms, including decision-making, adherence, shared decision-making, compliance, and patient-centered care. RESULTS: Shared decision making between patients and clinicians promotes adherence to the treatment plan in MS. A proactive SDM approach is based on patient preferences, education, and engagement. Providing credible and accurate sources of information is essential for improving patient engagement. Home monitoring, computerized models, and active patient engagement are a few new approaches to improve adherence in patients with MS. CONCLUSIONS: Shared decision-making interventions can have a positive effect on patient adherence to disease-modifying drug therapy in MS care. A range of new strategies is emerging that may help promote optimal disease management.