Diversity, Equity, and Inclusion in the Multiple Sclerosis Community: A Call to Action.

Many medical organizations have begun to confront the longstanding problem of inequalities in health care delivery and the undeniable effect of disparities on health outcomes. The Consortium of Multiple Sclerosis Centers (CMSC) recognizes that disparities affect the lives of many people with multiple sclerosis (MS) and acknowledges the need to address this as an organization. The CMSC recently (1) appointed a task force, (2) conducted a survey of its membership, (3) commissioned this review article and call to action, and (4) formulated a mission statement on diversity, equity, and inclusion (DEI), which was adopted by the CMSC's Board of Governors in March 2023. This paper summarizes recent literature on health care disparities in MS, particularly those relating to race/ethnicity, sexual orientation, and gender identity. It presents findings from CMSC's survey of members' awareness of DEI issues, the need for education and resources for MS care providers, and existing institutional policies on DEI in the members' practice settings. It also presents the task force's recommendations for next steps, which includes the goal of greater diversity in the MS workforce of the future. The CMSC will continue to revisit DEI policies and practices over time with the goal of motivating greater awareness, momentum, and positive changes within the MS community.

Enhancing diversity of clinical trial populations in multiple sclerosis.

BACKGROUND: Demographic characteristics, social determinants of health (SDoH), health inequities, and health disparities substantially influence the general and disease-specific health outcomes of people with multiple sclerosis (MS). Participants in clinical trials do not represent all people with MS treated in practice. OBJECTIVE: To provide recommendations for enhancing diversity and inclusion in clinical trials in MS. METHODS: We held an international workshop under the Auspices of the International Advisory Committee on Clinical Trials in MS (the "Committee") to develop recommendations regarding diversity and inclusivity of participants of clinical trials in MS. Workshop attendees included members of the Committee as well as external participants. External participants were selected based on expertise in trials, SDoH, health equity and regulatory science, and diversity with respect to gender, race, ethnicity, and geography. RESULTS: Recommendations include use of diversity plans, community engagement and education, cultural competency training, biologically justified rather than templated eligibility criteria, adaptive designs that allow broadening of eligibility criteria over the course of a trial, and logistical and practical adjustments to reduce study participant burden. Investigators should report demographic and SDoH characteristics of participants. CONCLUSION: These recommendations provide sponsors and investigators with methods of improving diversity and inclusivity of clinical trial populations in MS.

Social determinants of health in multiple sclerosis.

Social determinants of health are the conditions in which people are born, grow, live, work and age. These circumstances are the non-medical factors that influence health outcomes. Evidence indicates that health behaviours, comorbidities and disease-modifying therapies all contribute to multiple sclerosis (MS) outcomes; however, our knowledge of the effects of social determinants - that is, the 'risks of risks' - on health has not yet changed our approach to MS. Assessing and addressing social determinants of health could fundamentally improve health and health care in MS; this approach has already been successful in improving outcomes in other chronic diseases. In this narrative Review, we identify and discuss the body of evidence supporting an effect of many social determinants of health, including racial background, employment and social support, on MS outcomes. It must be noted that many of the published studies were subject to bias, and screening tools and/or practical interventions that address these social determinants are, for the most part, lacking. The existing work does not fully explore the potential bidirectional and complex relationships between social determinants of health and MS, and the interpretation of findings is complicated by the interactions and intersections among many of the identified determinants. On the basis of the reviewed literature, we consider that, if effective interventions targeting social determinants of health were available, they could have substantial effects on MS outcomes. Therefore, funding for and focused design of studies to evaluate and address social determinants of health are urgently needed.

Improvement of driving skills in persons with relapsing-remitting multiple sclerosis: a pilot study.

OBJECTIVE: To determine the potential to improve driving-related skills using a simulator-based program in persons with relapsing-remitting multiple sclerosis (RRMS). DESIGN: Pre-post intervention. SETTING: A university driving simulator laboratory. PARTICIPANTS: Participants (N=50) with RRMS and Expanded Disability Status Scale (EDSS) scores between 1 and 7 were enrolled. Pre- and posttraining data from 36 participants (mean age ± SD, 46±11y; 30 women) who received training and 6 participants (mean age ± SD, 48±13y; 5 women) who did not receive training (control group) were compared. INTERVENTIONS: Five hours of driving training in a simulator. MAIN OUTCOME MEASURES: Performance on a road test at pre- and posttraining. Secondary outcome measures were performance on visual, physical, and cognitive tests. RESULTS: Overall, no significant differences were observed between the training and control groups before and after training. However, 4 of the 7 participants in the training group who failed the road test at pretraining passed posttraining, while the only participant in the control group who failed at pretraining still failed at posttraining. The training group also improved on perception of red and colored numbers, the Paced Auditory Serial Addition Test, and the dot cancellation test of the Stroke Driver Screening Assessment battery and reported less fatigue. These improvements were most pronounced among those with an EDSS score between 3 and 7. CONCLUSIONS: This pilot study demonstrates the potential of using a simulator to improve driving-related visual, cognitive, and on-road skills in individuals with RRMS, particularly those with an EDSS score >3. Future randomized controlled trials with adequate power are needed to expand this field of study.

Predictors of driving in individuals with relapsing-remitting multiple sclerosis.

BACKGROUND: We previously reported that performance on the Stroke Driver Screening Assessment (SDSA), a battery of four cognitive tests that takes less than 30 min to administer, predicted the driving performance of participants with multiple sclerosis (MS) on a road test with 86% accuracy, 80% sensitivity, and 88% specificity. OBJECTIVES: In this study, we further investigated if the addition of driving-related physical and visual tests and other previously identified cognitive predictors, including performance on the Useful Field of View test, will result in a better accuracy of predicting participants' on-road driving performance. METHODS: Forty-four individuals with relapsing-remitting MS (age = 46 ± 11 years, 37 females) and Expanded Disability Status Scale values between 1 and 7 were administered selected physical, visual and cognitive tests including the SDSA. The model that explained the highest variance of participants' performance on a standardized road test was identified using multiple regression analysis. A discriminant equation containing the tests included in the best model was used to predict pass or fail performance on the test. RESULTS: Performance on 12 cognitive and three visual tests were significantly associated with performance on the road test. Five of the tests together explained 59% of the variance and predicted the pass or fail outcome of the road test with 91% accuracy, 70% sensitivity, and 97% specificity. CONCLUSION: Participants' on-road performance was more accurately predicted by the model identified in this study than using only performance on the SDSA test battery. The five psychometric/off-road tests should be used as a screening battery, after which a follow-up road test should be conducted to finally decide the fitness to drive of individuals with relapsing-remitting MS. Future studies are needed to confirm and validate the findings in this study.