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

Preferences and attitudes regarding early intervention in multiple sclerosis: A systematic literature review

BACKGROUND

Multiple sclerosis (MS) is a chronic inflammatory disorder affecting the brain and spinal cord, characterized by immune-mediated myelin damage. Early intervention and detection programs have emerged as promising strategies to improve patient outcomes by identifying and treating MS in its earliest stages.

OBJECTIVE

This systematic literature review aims to provide an overview of the preferences, attitudes, and opinions of both patients and healthcare professionals regarding early intervention or early detection programs for MS.

METHODS

A comprehensive search strategy was employed in March 2023 across multiple databases (MEDLINE, Scopus, PsyInfo, PubMed), from 1990 to 2023. A total of 38 articles were selected for analysis based on predefined inclusion and exclusion criteria.

RESULTS

The majority of articles were published in recent years and represented different methods from case reports to randomized controlled trials, with fewer systematic literature reviews. Data collection approaches included patients, healthcare workers, or mixed samples with varying age ranges and gender ratios, frequently preferring women. These samples represented different preference study methods. The included studies were primarily conducted in the USA and the UK. Thematic analysis revealed several key themes : 1) differences emerged between healthcare professionals' and patients' perspectives 2) interventions for MS outside Disease-Modifying Therapies (DMTs) 3) severe side effects 4) communication, information, and knowledge 5) psychological and emotional aspects.

CONCLUSIONS

Understanding these diverse factors and subgroups within the MS population can inform more effective, personalized approaches to MS prevention and treatment.

A Best-Worst Scaling Study of the General Population's Preferences for Activities in Living Arrangements for Persons With Dementia

BACKGROUND

Activity involvement is a central element of dementia care. However, few studies have examined preferences for types of activities for persons who may be in need of care in the future. In this study, a best-worst scaling (BWS) was conducted to gather insights on preferred activities in small-scale living arrangements for dementia in the general population aged 50-65 years from rural and urban regions.

METHODS

BWS tasks were developed based on literature searches and focus groups. The final BWS contains ten activities, namely 'interaction with animals', 'gardening', 'painting, handicrafts, manual activities', 'household activities (e.g., folding laundry, cooking)', 'watching television', 'practicing religion', 'listening to music and singing familiar songs', 'conversations about the past', 'walks and excursions', 'sport activities (e.g., gymnastics)'. Each participant had to fill out subsets of four objects each and identify them as best and worst. A postal survey was sent to a total of 4390 persons from rural and urban regions aged between 50 and 65 years. Results were analyzed by count analysis and logit models. It was examined if preferences differ with respect to gender, religiousness, and informal caregiving experience.

RESULTS

A total of 840 questionnaires were returned, and 627 surveys were included in the analysis. In the rural sample, the highest relative importance (RI) was assigned to 'walks and excursions' (RI: 100%), 'sport activities (e.g., gymnastics)' (RI: 56%), 'gardening' (RI: 28%), and 'interaction with animals' (26%). In the urban sample, 'walks and excursions' (RI: 100%), 'sport activities (e.g., gymnastics)' (RI: 37%), 'interaction with animals' (25%) and 'gardening' (RI: 22%) were perceived as most important. In both groups, household activities and practicing religion were of lowest importance. Importance ranks differed between subgroups. Results of the logit models with random effects showed the same order as results from the count analyses.

DISCUSSION

Our findings show that respondents generally favored activities with an outdoor component, while the household activities that are part of many concepts were of low importance to respondents. Thus, our study can inform the design of a preference-based specific range of activities in small-scale living arrangements for dementia.

Delayed cognitive processing and treatment status quo bias in early-stage multiple sclerosis

BACKGROUND

The evolving therapeutic landscape requires more participation of patients with relapsing remitting multiple sclerosis (RRMS) in treatment decisions. The aim of this study was to assess the association between patient's self-perception, cognitive impairment and behavioral factors in treatment choices in a cohort of patients at an early stage of RRMS.

METHODS

We conducted a multicenter, non-interventional study including adult patients with a diagnosis of RRMS, a disease duration ≤18 months and receiving care at one of the 21 participating MS centers from across Spain. We used patient-reported measures to gather information on fatigue, mood, quality of life, and perception of severity of their MS. Functional metrics (Expanded Disability Status Scale [EDSS], cognitive function by the Symbol Digit Modalities Test [SDMT], 25-foot walk test) and clinical and radiological data were provided by the treating neurologist. The primary outcome of the study was status quo (SQ) bias, defined as participant's tendency to continue taking a previously selected but inferior treatment when intensification was warranted. SQ bias was assessed based on participants treatment preference in six simulated RRMS case scenarios with evidence of clinical relapses and radiological disease progression.

RESULTS

Of 189 participants who met the inclusion criteria, 188 (99.5%) fully completed the study. The mean age was 36.6 ± 9.5 years, 70.7% female, mean disease duration: 1.2 ± 0.8 years, median EDSS score: 1.0 [IQR=0.0-2.0]). Overall, 43.1% patients (n = 81/188) had an abnormal SDMT (≤49 correct answers). SQ bias was observed in at least one case scenario in 72.3% (137/188). Participant's perception of their MS severity was associated with higher SQ bias (β coeff 0.042; 95% CI 0.0074-0.076) among those with delayed cognitive processing. Higher baseline EDSS and number of T2 lesions were predictors of delayed processing speed (OR EDSS=1.57, 95% CI: 1.11-2.21, p = 0.011; OR T2 lesions=1.50, 95% CI: 1.11-2.03, p<0.01). Bayesian multilevel model accounting for clustering showed that delayed cognitive processing (exp coeff 1.06; 95% CI 1.04-1.09) and MS symptoms severity (exp coeff 1.28; 95% CI 1.22-1.33) were associated with SQ bias.

CONCLUSION

Over 40% of patients in earlier stages of RRMS experience delays in cognitive processing that might affect their decision-making ability. Our findings suggest that patients' self-perception of disease severity combined with a delay in cognitive processing would affect treatment choices leading to status quo bias early in the course of their disease.

Persistence, Adherence, and Switching to Higher-Cost Therapy in Patients with Multiple Sclerosis Initiating Oral Disease-Modifying Therapies: A Retrospective Real-World Study

INTRODUCTION

Therapeutic efficacy of disease-modifying therapies (DMTs) for multiple sclerosis (MS) is often hindered by poor persistence and adherence, impacted by patient-perceived efficacy concerns, adverse effects, inconvenience, and forgetfulness. This study measured persistence, adherence, and time to switching to higher-cost therapy among patients with MS initiating teriflunomide, dimethyl fumarate, fingolimod, or diroximel fumarate treatment.

METHODS

This retrospective study used Symphony Health US claims data from patients with MS newly initiated on one of four oral DMTs between January and June 2020. Persistence was defined as the duration a patient continued their medication. Adherence was measured using medication possession ratio (MPR); patients with MPR ≥ 80% were considered adherent. Switching was measured by comparing proportions of patients switching and mean time to switch to one of three higher-cost therapies (ocrelizumab, natalizumab, or cladribine). Kaplan-Meier curves assessed persistence. Chi-square tests determined proportions of patients on therapy after 12 months.

RESULTS

A total of 6934 patients newly initiated on oral DMTs met study inclusion criteria (teriflunomide, n = 1968; dimethyl fumarate, n = 3409; diroximel fumarate, n = 616; fingolimod, n = 941). Patients newly initiated on teriflunomide and fingolimod had significantly higher persistence rates after 12 months (60% and 66%, respectively vs 44% dimethyl fumarate and 49% diroximel fumarate; p < 0.0001), and the highest proportion of adherent patients at 6 months (71% and 76%, vs 60% dimethyl fumarate and 58% diroximel fumarate) and 12 months (55% and 59%, vs 40% dimethyl fumarate and 44% diroximel fumarate). Mean time to switching to higher-cost therapies ranged from 247 days (diroximel fumarate to natalizumab) to 342 days (teriflunomide to ocrelizumab), with the highest rate of switching in patients on dimethyl fumarate (7%).

CONCLUSION

Patients newly initiated on teriflunomide and fingolimod had better real-world persistence and adherence at 6 and 12 months, and longer time to switch to higher-cost therapies, than patients on dimethyl fumarate or diroximel fumarate.

Patient-based benefit-risk assessment of medicines: development, refinement, and validation of a content search strategy to retrieve relevant studies

Introduction:

Poor indexing and inconsistent use of terms and keywords may prevent efficient retrieval of studies on the patient-based benefit-risk assessment (BRA) of medicines. We aimed to develop and validate an objectively derived content search strategy containing generic search terms that can be adapted for any search for evidence on patient-based BRA of medicines for any therapeutic area.

Methods:

We used a robust multistep process to develop and validate the content search strategy: (1) we developed a bank of search terms derived from screening studies on patient-based BRA of medicines in various therapeutic areas, (2) we refined the proposed content search strategy through an iterative process of testing sensitivity and precision of search terms, and (3) we validated the final search strategy in PubMed by firstly using multiple sclerosis as a case condition and secondly computing its relative performance versus a published systematic review on patient-based BRA of medicines in rheumatoid arthritis.

Results:

We conceptualized a final search strategy to retrieve studies on patient-based BRA containing generic search terms grouped into two domains, namely the patient and the BRA of medicines (sensitivity 84%, specificity 99.4%, precision 20.7%). The relative performance of the content search strategy was 85.7% compared with a search from a published systematic review of patient preferences in the treatment of rheumatoid arthritis. We also developed a more extended filter, with a relative performance of 93.3% when compared with a search from a published systematic review of patient preferences in lung cancer.

The Patient and Clinician Assessment of Gastrointestinal (GI) Related Adverse Events Associated with Oral Disease-Modifying Therapies in Multiple Sclerosis: A Qualitative Study

INTRODUCTION

Current guidelines for relapsing-remitting multiple sclerosis (RRMS) call for treatment with disease-modifying therapies (DMTs) early in the disease to prevent relapses and accumulation of neurologic impairment and disability. However, patients taking certain oral DMTs may experience gastrointestinal (GI)-related adverse events (AEs), particularly at dose titration. We conducted qualitative research with healthcare professionals (HCPs) and patients in Canada to contextualize their experiences with three oral DMTs: dimethyl fumarate (Tecfidera^®), fingolimod (Gilenya^®), and teriflunomide (Aubagio^®). The objectives of this study were to (1) gather qualitative data to better understand the patient and HCP experience of GI AEs in oral MS DMT treatment in Canada and (2) determine to what extent two patient-reported outcome (PRO) instruments used in recent oral DMT trials capture what is important to patients regarding GI AEs in oral MS DMT treatment (content validity) and to provide qualitative data to help interpret PRO scores.

METHODS

This was a qualitative, non-interventional, descriptive, cross-sectional study comprising HCP and patient interviews conducted in English and French, using a 1:1 semi-structured interview approach.

RESULTS

Patients reported 16 unique GI AE concepts related to oral DMTs. The most commonly reported symptoms were diarrhea, indigestion, and nausea. While patients acknowledged the negative impact associated with GI-related AEs, most characterized the treatment experience as positive, focusing on preference for oral administration, perceived efficacy of DMTs in terms of lack of MS relapses, slowed progression of their disease, and improvement in MS symptoms. Results supported the content validity (relevance, comprehension, and comprehensiveness) of the two PROs assessed. HCP feedback reinforced patient perspectives on both GI concepts and the two PRO instruments.

CONCLUSION

Outcomes of these research activities include experiential data on the symptom and impact experience of oral DMTs in MS from both patients and HCPs that contribute to the process of determining therapeutic value.

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

BACKGROUND

Relapsing-remitting multiple sclerosis (RRMS) is an incurable disease characterised by relapses (periods of function loss) followed by full or partial recovery, and potential permanent disability over time. Many disease-modifying treatments (DMTs) exist that help reduce relapses and slow disease progression. Most are contraindicated during conception/pregnancy and some require a discontinuation period before trying to conceive. Although around three-quarters of people with RRMS are women, there is limited knowledge about how reproductive issues impact DMT preference.

OBJECTIVE

The aim of this study was to measure the preferences for DMTs of women with RRMS who are considering pregnancy.

DESIGN

An online discrete choice experiment (DCE).

METHODS

Participants chose between two hypothetical DMTs characterised by a set of attributes, then indicated if they preferred their choice to no treatment. Attributes were identified from interviews and focus groups with people with RRMS and MS professionals, as well as literature reviews, and included the probability of problems with pregnancy, discontinuation of DMTs, and breastfeeding safety. In each DCE task, participants were asked to imagine making decisions in three scenarios: now; when trying to conceive; and when pregnant.

ANALYSIS

Two mixed logit models were estimated, one to assess the statistical significance between scenarios and one in maximum acceptable risk space to allow comparison of the magnitudes of parameters between scenarios.

SAMPLE

Women with RRMS who were considering having a child in the future, recruited from a UK MS patient register.

RESULTS

Sixty respondents completed the survey. Participants preferred no treatment in 12.6% of choices in the 'now' scenario, rising significantly to 37.6% in the 'trying to conceive' scenario and 60.3% in the 'pregnant' scenario (Kruskal-Wallis p < 0.001). This pattern corresponds with results from models that included a no-treatment alternative-specific constant (ASC) capturing differences between taking and not taking a DMT not specified by the attributes. The ASC was lower in the trying to conceive scenario than in the now scenario, and lower still in the pregnant scenario, indicating an intrinsic preference for no treatment. Participants also placed relatively less preference on reducing relapses and avoiding disease progression in the trying to conceive and pregnant scenarios compared with a lower risk of problems with pregnancy. In the trying to conceive scenario, participants' preference for treatments with shorter washout periods increased.

CONCLUSION

Women with RRMS considering having a child prefer DMTs with more favourable reproduction-related attributes, even when not trying to conceive. Reproductive issues also influenced preferences for DMT attributes not directly related to pregnancy, with preferences dependent on the life circumstances in which choices were made. The design of the DCE highlights the benefits of considering the scenario in which participants make choices, as they may change over time.

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

Background

Multiple first-line disease modifying therapies (DMTs) are available for relapsing-remitting multiple sclerosis (RRMS), each with different characteristics. We developed an interactive patient decision aid (PtDA) to promote informed shared decision-making (SDM).

Objective

To test the preliminary effectiveness of the PtDA in participants with RRMS.

Methods

Knowledge, and decisional conflict were measured pre- and post- implementation of the PtDA, SDM after the consultation, and 6-month treatment patterns were observed. Differences in scores were analyzed using descriptive statistics and paired t-tests. Qualitative interviews with patients and neurologists were analyzed using thematic analysis.

Results

52 participants were recruited: most were female (81%), 40 years of age or younger (62%), and had experienced MS for less than 5 years (56%). After participants used the PtDA, there was a significant improvement in decisional conflict (change = 1.00; p < 0.001) and knowledge (change = 2.15, p < 0.001). Nearly all patients wanted SDM, and 25 (56%) reported this occurred in their consult. Qualitative results suggested the PtDA supported both patients and neurologists in making decisions.

Conclusion

This pilot study suggests that PtDA use helps RRMS patients and their clinician select a DMT. Future studies will assess the feasibility of implementation and the impact of the PtDA on timely DMT initiation and longer-term adherence.

Exploring the Cost Effectiveness of Shared Decision Making for Choosing between Disease-Modifying Drugs for Relapsing-Remitting Multiple Sclerosis in the Netherlands: A State Transition Model

Background

Up to 31% of patients with relapsing-remitting multiple sclerosis (RRMS) discontinue treatment with disease-modifying drug (DMD) within the first year, and of the patients who do continue, about 40% are nonadherent. Shared decision making may decrease nonadherence and discontinuation rates, but evidence in the context of RRMS is limited. Shared decision making may, however, come at additional costs. This study aimed to explore the potential cost-effectiveness of shared decision making for RRMS in comparison with usual care, from a (limited) societal perspective over a lifetime.

Methods

An exploratory economic evaluation was conducted by adapting a previously developed state transition model that evaluates the cost-effectiveness of a range of DMDs for RRMS in comparison with the best supportive care. Three potential effects of shared decision making were explored: 1) a change in the initial DMD chosen, 2) a decrease in the patient’s discontinuation in using the DMD, and 3) an increase in adherence to the DMD. One-way and probabilistic sensitivity analyses of a scenario that combined the 3 effects were conducted.

Results

Each effect separately and the 3 effects combined resulted in higher quality-adjusted life years (QALYs) and costs due to the increased utilization of DMD. A decrease in discontinuation of DMDs influenced the incremental cost-effectiveness ratio (ICER) most. The combined scenario resulted in an ICER of €17,875 per QALY gained. The ICER was sensitive to changes in several parameters.

Conclusion

This study suggests that shared decision making for DMDs could potentially be cost-effective, especially if shared decision making would help to decrease treatment discontinuation. Our results, however, may depend on the assumed effects on treatment choice, persistence, and adherence, which are actually largely unknown.

Incorporating patients' preferences in the value assessment of disease-modifying therapies for multiple sclerosis: a narrative review

Introduction: Despite the increasing role of patients in the US healthcare system, patients have yet been engaged in the value assessment of their treatments, including disease-modifying therapies (DMTs) for multiple sclerosis (MS). The objectives of this review were therefore to summarize existing studies on cost-effectiveness analysis (CEA) with quality-adjusted life years (QALYs) and patients' preferences of DMTs for MS, and to discuss how to incorporate patients' preferences into the value assessment of DMTs.Area covered: We reviewed previous systematic reviews and conducted further search until November 2020 for studies on CEA with QALYs and patients' preferences of DMTs for MS. We identified the outcomes that were assessed or valued in the CEA studies and the DMT attributes that were important to patients with MS.Expert opinion: Our literature review showed that the studies using CEA with QALYs failed to capture some important DMT attributes, e.g., route and frequency of administration, identified in the studies on the patients' preferences. Various approaches were available for incorporating the patients' preferences in the value assessment of DMTs for MS. We supported this incorporation, which subsequently would increase patient access to preferred DMTs.

High-efficacy therapies for relapsing-remitting multiple sclerosis: implications for adherence. An expert opinion from the United Arab Emirates

The number of disease-modifying treatments (DMDs) for relapsing-remitting multiple sclerosis has increased. DMDs differ not only in their efficacy and safety/tolerability, but also in the treatment burden of, associated with their initiation, route/frequency of administration, maintenance treatment and monitoring. High-efficacy DMDs bring the prospect of improved suppression of relapses and progression of disability, but may have serious safety issues, and burdensome long-term monitoring. Studies of patient preferences in this area have focused on side effects, efficacy and route of administration. Adherence to DMDs is often suboptimal in relapsing-remitting multiple sclerosis and there is a need to understand more about how the complex therapeutic and administration profiles of newer DMDs interact with these barriers to support optimal adherence to therapy.

Patient and physician preferences for multiple sclerosis treatments in Germany: A discrete-choice experiment study

Objective

To assess heterogeneity in patient and physician preferences for multiple sclerosis treatment features and outcomes via a discrete-choice experiment.

Method

Patients with self-reported multiple sclerosis and treating physicians participated in an online discrete-choice experiment. Patients, each considering a better or worse reference condition, and physicians, each considering two patient profiles, chose between hypothetical treatment profiles defined by seven attributes with varying levels: years until disability progression, number of relapses in the decade, mode of administration, dosing frequency, and risks of mild, moderate, and severe side effects. Latent class analysis was used to measure respondent preferences and identify potential subgroups with distinct preferences.

Results

Distinct treatment preferences emerged among subgroups of patients (n = 301) and physicians (n = 308). Patients in class 1 (43% of sample) were most concerned about side effects; chief concerns of class 2 patients (57%) were delaying disability progression and avoiding severe side-effect risks. The most important attributes for physicians (by class) were delaying disability (class 1, 45%), avoiding severe side-effect risks and (class 2, 33%), and avoiding all side-effect risks (class 3, 22%).

Conclusion

Patients and physicians have diverse preferences for multiple sclerosis treatments, reflecting heterogeneity in the disease course and available therapies and the need for shared decision making.

Summarizing Patient Preferences for the Competitive Landscape of Multiple Sclerosis Treatment Options

Objective. Quantitatively summarize patient preferences for European licensed relapsing-remitting multiple sclerosis (RRMS) disease-modifying treatment (DMT) options. Methods. To identify and summarize the most important RRMS DMT characteristics, a literature review, exploratory physician interviews, patient focus groups, and confirmatory physician interviews were conducted in Germany, the United Kingdom, and the Netherlands. A discrete choice experiment (DCE) was developed and executed to measure patient preferences for the most important DMT characteristics. The resulting DCE data (n=799 and n=363 respondents in the United Kingdom and Germany, respectively) were analyzed using Bayesian mixed logit models. The estimated individual-level patient preferences were subsequently summarized using 3 additional analyses: the quality of the choice data was assessed using individual-level R² estimates, individual-level preferences for the available DMTs were aggregated into DMT-specific preference shares, and a principal component analysis was performed to explain the patients' choice process. Results. DMT usage differed between RRMS patients in Germany and the United Kingdom but aggregate patient preferences were similar. Across countries, 42% of all patients preferred oral medications, 38% infusions, 16% injections, and 4% no DMT. The most often preferred DMT was natalizumab (26%) and oral DMT cladribine tablets (22%). The least often preferred were mitoxantrone and the beta-interferon injections (1%-3%). Patient preferences were strongly correlated with patients' MS disease duration and DMT experience, and differences in patient preferences could be summarized using 8 principle components that together explain 99% of the variation in patients' DMT preferences. Conclusion. This study summarizes patient preferences for the included DMTs, facilitates shared decision making along the dimensions that are relevant to RRMS patients, and introduces methods in the medical DCE literature that are ideally suited to summarize the impact of DMT introductions in preexisting treatment landscapes.

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

Background

Multiple sclerosis (MS) typically affects young adults during their primary productive years. We assessed the magnitude of, and factors associated with, employment status and informal care in people with MS in Canada.

Methods

Data were compiled from the nationally representative cross-sectional Survey on Living with Neurological Conditions in Canada (SLNCC), which included adolescents and adults (age ≥15 years). Employment status was categorized as currently working or not working. The frequency of informal care that people with MS received was categorized as none, less than daily, or daily. Logistic regression analyses were undertaken to identify factors associated with employment status and informal care requirements in people with MS.

Results

Of 4409 SLNCC respondents, 631 had MS, of whom 530 were included in the analysis. Of 358 respondents aged 18 to 65 years, 47.8% were not working because of MS; 44.0% reported receiving informal care, with more than half requiring daily care. For caregivers' employment, 15.5% reduced work and 8.2% stopped working because of caregiving. Greater feelings of stigmatization were associated with not working (adjusted odds ratio, 7.42 [95% CI, 2.59-21.28]) and greater informal care (adjusted odds ratio, 3.83 [95% CI, 1.84-7.96]), adjusting for sex, age, education, health-related quality of life, time since MS diagnosis, and comorbidity.

Conclusions

People who feel stigmatized because of their MS are more likely to be unemployed and to require more informal care. Further research is needed to understand the temporal nature of the association between stigma and employment, productivity loss, and informal care.

Development and usability testing of a patient decision aid for newly diagnosed relapsing multiple sclerosis patients

BACKGROUND

Multiple sclerosis (MS) patients often struggle with treatment decisions, in part due to the increasing number of approved disease modifying therapies, each with different characteristics, and also since physicians can struggle to identify which of these characteristics matter most to each individual patient. Decision uncertainty can contribute to late treatment initiation and treatment non-adherence-causes of 'undertreatment' in MS. An interactive online patient decision aid that informs patients of their options, considers their individual preferences and goals, and facilitates conversations with their physicians, could improve how patients with relapsing forms of MS make evidence-based treatment decisions.

OBJECTIVE

To develop and evaluate a prototype patient decision aid (PtDA) for first-line disease modifying therapies for relapsing-remitting multiple sclerosis.

METHODS

Informed by previous studies and International Patient Decision Aid Standards guidelines, a prototype PtDA was developed for patients with relapsing multiple sclerosis considering first line treatment. Patients with relapsing multiple sclerosis were recruited from the University of British Columbia's Multiple Sclerosis Clinic to participate in either an online survey or a focus group. Online survey participants completed the PtDA, followed by measures of acceptability, usability, and preparedness for decision-making, and provided general feedback. Focus group participants assessed usability of the revised PtDA. The analysis of qualitative and quantitative data led to improvements of the PtDA prototype.

RESULTS

The prototype PtDA received high ratings for acceptability and usability, and after its use, participants reported high-levels of preparedness for decision-making. Analysis of all qualitative data identified three key themes: the need for credible information; the usefulness of the PtDA; and the importance of normalizing and sharing experiences. Nine content areas were identified for revision. Overall, participants found the PtDA to be a valuable tool for facilitating treatment decisions.

CONCLUSIONS

This mixed methods study has led to the development of a PtDA that can support patients with RRMS as they make treatment decisions. Future studies will assess the feasibility of implementation and the impact of the PtDA on both the timely treatment initiation and longer-term adherence.

Patients' preferences and willingness-to-pay for disease-modifying therapies

BACKGROUND

While disease-modifying therapies (DMTs) for multiple sclerosis (MS) treatments are costly, patient valuation of DMTs has not been examined. The objective of this study was to examine patients' preferences and willingness-to-pay (WTP) for DMTs.

METHODS

Six attributes (i.e., number of relapses, percentage of disability progression, percentage of severe adverse events, route of administration, frequency of administration, and out-of-pocket cost) and their levels were used to develop a discrete choice experiment questionnaire. Each questionnaire comprised seven choice sets and each choice set contained two hypothetical DMTs and an opt-out alternative. A total of 1,200 U.S. patients with MS were asked to choose a DMT option or opt-out in each choice set. Multinomial logit model was used to determine relative preferences of each attribute. WTPs for all attributes and DMTs were calculated.

RESULTS

A total of 508 patients were analyzed. Patients preferred DMTs with lower relapse rate, lower disability progression, lower severe adverse event, lower frequency of administration, and lower cost. In addition, they preferred oral DMTs. They were willing to pay $2,768, $289, $292, and $76 a month in exchange for every 1-time decrease in the number of relapses in two years, every 1% decrease in disability progression in two years, every 1% decrease in severe adverse events, and every 1-time decrease in the frequency of administration per month, respectively. The patients were willing to pay, in relation to market prices, between $7,020 and $134,934 per year for all DMTs, but interferon beta-1a SC.

CONCLUSIONS

Patients with MS considered relapse rate, disability progression, severe adverse events, route of administration, frequency of administration, and out-of-pocket cost, when they chose DMTs. Their WTPs for DMTs varied widely.

Capturing Adult Patient Preferences Toward Benefits and Risks of Second-Line Antihyperglycemic Medications Used in Type 2 Diabetes: A Discrete Choice Experiment

OBJECTIVES

To estimate the strength of preferences, relative importance and trade-offs that patients with type 2 diabetes make between characteristics of antihyperglycemic medications.

METHODS

We conducted a discrete choice experiment with a sample of Canadians with type 2 diabetes. Respondents completed 14 choice tasks and choose between 2 hypothetical drug alternatives, described by 8 characteristics (cost, efficacy, life expectancy, risk of macrovascular event, risk of microvascular event, risk of severe hypoglycemia, risk of minor side effects and risk of rare but serious side effects). An opt-out option was also provided. Characteristics used to describe the 2 drugs were identified using a literature review, focus groups and interviews. A multinomial mixed logit model was used to estimate choice probabilities. Willingness to pay (WTP) was used to assess trade-offs between characteristics.

RESULTS

A total of 502 survey responses were included. The average age of participants was 59±12 years. Participants were 59% men, and 62% had diabetes for at least 6 years. All characteristics were found to significantly influence choice. On average, patients were willing to pay a monthly cost for their therapy of $134 to achieve 3 additional years of life; $49 and $36 for a 20% reduction in their risk of macrovascular and microvascular events, respectively; $34 for a 1% drop in glycated hemoglobin; $29 for a 50% less risk of severe hypoglycemia over 10 years; $29 for a 50% less risk of a minor side effect and $17 for a 50% less risk of a rare but serious side effect over 10 years.

CONCLUSIONS

All 8 characteristics were shown to significantly influence choice, with cost and life expectancy carrying the most weight and serious and minor side effects carrying the least weight.

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

BACKGROUND

Multiple sclerosis (MS) is a chronic disabling, inflammatory, and degenerative disease of the central nervous system that, in most cases, requires long-term disease-modifying treatment (DMT). The drugs used vary in efficacy and adverse effect profiles. Several studies have used attribute-based stated-preference methods, primarily to investigate patient preferences for initiating or escalating DMT.

OBJECTIVES

To conduct a systematic review of attribute-based stated-preference studies in people with MS to identify common methods employed and to assess study quality, with reference to the specific challenges of this disease area.

METHODS

We conducted a systematic search for studies related to attribute-based stated-preference and MS in multiple databases, including Cochrane and MEDLINE. Studies were included if they were published in a peer-reviewed journal, were on the topic of MS, and used a survey methodology that measured stated preferences for attributes of a whole. Analysis was conducted using narrative synthesis and summary statistics. Study quality was judged against the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) conjoint analysis checklist.

RESULTS

We identified 16 relevant articles reporting 17 separate studies, all but one focusing on DMTs. Most studies were discrete-choice experiments. Study quality was generally high, but we recommend the following: (1) that consideration of sample sizes be improved, (2) that survey design choices be justified and documented, (3) that qualitative approaches for attribute and level selection be incorporated to better involve patients, and (4) that reporting of experimental practice be improved. The effects of DMTs on reproduction and the impact of how risk and uncertainty are presented were identified as neglected research topics. The ISPOR conjoint analysis checklist was found to be unsuitable for the assessment of study quality.

CONCLUSION

Attribute-based stated preference is a useful method with which to examine the preferences of people with MS in their choice of DMT. However, further research embracing the methodological recommendations identified, particularly greater use of qualitative methods in attribute development, is needed.

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

Background

Patients experience multiple sclerosis (MS) differently based on their disease type and other factors. This study aimed to explore the relative importance that patients with MS place on various attributes of MS drug therapies and to elucidate these patients' preferences regarding treatment characteristics such as administration, potential benefits, and side effects of the therapies.

Methods

Focus groups were conducted in Vancouver, Canada, with 23 adult patients with MS. Participants were interviewed in three groups based on disease category and MS treatment experience: treatment-naive, non-treatment-naive relapsing-remitting and non-treatment-naive progressive MS.

Results

Overall, the most important characteristics of MS drugs were effectiveness and side effects. As such, there is hesitancy about trying new-to-market drugs because the risks, benefits, and costs may not be well known. Participants valued stability in their treatment and generally did not want to take on the additional risk of trying a new drug if they felt that their current medication was providing benefit. Convenience and method of administration were secondary considerations that would generally be valued only if expected risks and benefits were considered equal or superior.

Conclusions

This qualitative study shows that patients consider the impact and likelihood of benefits and side effects first and foremost when making drug treatment decisions and that other factors, such as convenience and method of administration, are of secondary concern.

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

BACKGROUND

Recent studies emphasise the importance of timely diagnosis and early initiation of disease-modifying treatment in the long-term prognosis of multiple sclerosis.

OBJECTIVES

The objective of this study was to investigate factors associated with extended time to diagnosis and time to disease-modifying treatment initiation in the Swiss Multiple Sclerosis Registry.

METHODS

We used retrospective data (diagnoses 1996-2017) of the survey-based Swiss Multiple Sclerosis Registry and fitted logistic regression models (extended time to diagnosis ≥2 years from first symptoms, extended time to disease-modifying treatment initiation ≥1 year from diagnosis) with demographic and a priori defined variables.

RESULTS

Our study, based on 996 persons with multiple sclerosis, suggests that 40% had an extended time to diagnosis, and extended time to disease-modifying treatment initiation was seen in 23%. Factors associated with extended time to diagnosis were primary progressive multiple sclerosis (odds ratio (OR) 5.09 (3.12-8.49)), diagnosis setting outside of hospital (neurologist (private practice) OR 1.54 (1.16-2.05)) and more uncommon first symptoms (per additional symptom OR 1.17 (1.06-1.30)). Older age at onset (per additional 5 years OR 0.84 (0.78-0.90)) and gait problems (OR 0.65 (0.47-0.89)) or paresthesia (OR 0.72 (0.54-0.95)) as first symptoms were associated with shorter time to diagnosis. Extended time to disease-modifying treatment initiation was associated with older age at diagnosis (per additional 5 years OR 1.18 (1.09-1.29)). In more recent years, time to diagnosis and time to disease-modifying treatment initiation tended to be shorter.

CONCLUSIONS

Even in recent periods, substantial and partially systematic variation regarding time to diagnosis and time to disease-modifying treatment initiation remains. With the emerging paradigm of early treatment, the residual variation should be monitored carefully.

Factors Associated with Patient Preferences for Disease-Modifying Therapies in Multiple Sclerosis

BACKGROUND

Treatment adherence in patients with multiple sclerosis (MS) is essential to reduce the rate of acute neurological attacks, severity of relapses, and hospitalizations and to slow its progression. Adherence rates in MS patients have been shown to be affected by multiple factors, including physical or cognitive difficulties, perceived lack of treatment efficacy, treatment-related adverse events, injection anxiety, and frequency of administration.

OBJECTIVE

To elicit the preferences of MS patients for noneconomic and economic attributes of current disease-modifying therapies (DMTs).

METHODS

We used conjoint analysis to estimate preferences from a convenience sample through a web-based online survey. Patients were invited to participate in the study using web portals and newsletters for MS patients. The conjoint survey included the following 6 attributes: (1) overall efficacy based on autoimmune disease progression stabilization; (2) acute increase in disease activity (flare-up); (3) rate of respiratory tract infections; (4) rate of serious respiratory tract infections (leading to hospitalization); (5) medication use; and (6) patient monthly out-of-pocket medication costs. Using a fractional factorial design, 24 product profiles were created. Each respondent reviewed a random selection of 8 profiles. With each profile, subjects were asked to indicate their likelihood to try the hypothetical products on a scale from 0 to 100. Random effects linear regression was used to elicit preferences.

RESULTS

After exclusion of respondents with incomplete information, data from 129 subjects were included in the analysis. The overall relative importance of each attribute for the ranges presented were (1) 38.4% for monthly out-of-pocket cost; (2) 21.5% for route and frequency of administration; (3) 15.9% for risk of hospitalization by infection; (4) 11.9% for risk of respiratory tract infection; (5) 7.4% for risk of flare-ups; and (6) 5.0% for disease progression stabilization. Preference weights indicated that subjects favored subcutaneous (beta coefficient [β] = -2.26, 95% CI = -4.22 to -0.22) and oral administration (β = 7.93, 95% CI = 5.95 to 10.2) over intramuscular (β = -5.67, 95% CI = -8.67 to -3.56), but no significant differences were found between subcutaneous over intramuscular administration. Monthly out-of-pocket cost was the most influential attribute, with an overall relative importance of 38%. The most preferred level was $75 (β = 12.85, 95% CI = 10.64 to 15.06) followed by $150 (β = 3.41, 95% CI = 0.98 to 5.84) when compared between $75, $150, $300, and $450 a month.

CONCLUSIONS

Conjoint analysis proved to be a convenient tool to quantify respondents' relative preferences for DMT characteristics. Respondents gave higher weight to DMT monthly out-of-pocket costs and mode of administration than to adverse effects or efficacy. These findings may assist in the development of DMT cost-sharing strategies and shared decision making at the point of care.

DISCLOSURES

No outside funding supported this study. The authors declare no potential conflicts of interest. Study concept and design were contributed by Hincapie and Burns. Data were collected by Hincapie and Burns, and interpreted by all the authors. The manuscript was written by Hincapie, Penm, and Burns and revised by Penm, Hincapie, and Burns. At the time of data collection, Burns was a PhD candidate at The University of Oklahoma, College of Pharmacy.

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

BACKGROUND

Latent class analysis (LCA) has been increasingly used to explore preference heterogeneity, but the literature has not been systematically explored and hence best practices are not understood.

OBJECTIVE

We sought to document all applications of LCA in the stated-preference literature in health and to inform future studies by identifying current norms in published applications.

METHODS

We conducted a systematic review of the MEDLINE, EMBASE, EconLit, Web of Science, and PsycINFO databases. We included stated-preference studies that used LCA to explore preference heterogeneity in healthcare or public health. Two co-authors independently evaluated titles, abstracts, and full-text articles. Abstracted key outcomes included segmentation methods, preference elicitation methods, number of attributes and levels, sample size, model selection criteria, number of classes reported, and hypotheses tests. Study data quality and validity were assessed with the Purpose, Respondents, Explanation, Findings, and Significance (PREFS) quality checklist.

RESULTS

We identified 2560 titles, 99 of which met the inclusion criteria for the review. Two-thirds of the studies focused on the preferences of patients and the general population. In total, 80% of the studies used discrete choice experiments. Studies used between three and 20 attributes, most commonly four to six. Sample size in LCAs ranged from 47 to 2068, with one-third between 100 and 300. Over 90% of the studies used latent class logit models for segmentation. Bayesian information criterion (BIC), Akaike information criterion (AIC), and log-likelihood (LL) were commonly used for model selection, and class size and interpretability were also considered in some studies. About 80% of studies reported two to three classes. The number of classes reported was not correlated with any study characteristics or study population characteristics (p > 0.05). Only 30% of the studies reported using statistical tests to detect significant variations in preferences between classes. Less than half of the studies reported that individual characteristics were included in the segmentation models, and 30% reported that post-estimation analyses were conducted to examine class characteristics. While a higher percentage of studies discussed clinical implications of the segmentation results, an increasing number of studies proposed policy recommendations based on segmentation results since 2010.

CONCLUSIONS

LCA is increasingly used to study preference heterogeneity in health and support decision-making. However, there is little consensus on best practices as its application in health is relatively new. With an increasing demand to study preference heterogeneity, guidance is needed to improve the quality of applications of segmentation methods in health to support policy development and clinical practice.

A discrete choice experiment to determine UK patient preference for attributes of disease modifying treatments in Multiple Sclerosis

AIMS

The recent licensing of Disease Modifying Treatments (DMTs) for Multiple Sclerosis (MS) has increased available treatment options. The aim of this study was to explore MS patients' preference for the different attributes of DMTs in the UK.

MATERIALS AND METHODS

Attributes (treatment characteristics) for inclusion in the discrete choice experiment (DCE) were determined through published literature and interviews with 12 people with MS. Seven attributes were selected. Participants were presented with three hypothetical treatment options sampled from included attributes and asked for their most/least preferred options. The influence of patient characteristics and demographics on patient preference was also investigated.

RESULTS

The DCE was completed by 350 people with MS (81% female, mean age = 39). Results showed that method of taking medication was the strongest determinant of preference (27%; relative importance out of 100%), followed by relapse free rate (21%) and symptom progression (14%). Risk of fatigue (8%) and type of monitoring (6%) were the weakest determinants of preference. Once-daily oral treatment was preferred over all other methods of administration. Participant characteristics did not influence data on strength of preference.

LIMITATIONS

This study assumed adequate participant understanding of the discrete choice experiment task, and recruitment targeted those with access to the internet.

CONCLUSIONS

These results, derived from people with MS in the UK, should be used to inform individual discussions with patients about DMT choices.

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

Background

The choice between disease‐modifying drugs (DMDs) for the treatment of multiple sclerosis (MS) becomes more often a shared decision between the patient and the neurologist and MS nurse. This study aimed to assess which DMD attributes are most important for the healthcare professionals in selecting a DMD for a patient. Subsequently, within this perspective, the neurologists’ and nurses’ perspectives were compared. Lastly, the healthcare professionals’ perspective was compared with the patients’ perspective to detect any differences that may need attention in the communication about DMDs.

Design

A best‐worst scaling (BWS) was conducted among 27 neurologists and 33 MS nurses treating patients with MS to determine the importance of 27 DMD attributes. These attributes were identified through three focus groups with MS patients in a previous study (N=19). Relative importance scores (RISs) were estimated for each attribute. Multivariable linear regression analyses were used to compare the different perspectives.

Results

According to the neurologists and nurses, safety of the DMD was the most important DMD attribute in the treatment decision, closely followed by effect on disability progression, quality of life and relapse rate. Patients with MS agreed with the importance of the last three attributes, but valued safety significantly lower (b=−2.59, P<.001).

Conclusions

This study suggests that, overall, neurologists and nurses regard the same DMD attributes as important as MS patients with the notable exception of safety. This study provides valuable information for the development of interventions to support shared decision making and highlights which attributes of DMDs may need additional attention.

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

OBJECTIVE

To assess patients' preferences for a range of disease-modifying therapy (DMT) attributes in multiple sclerosis (MS).

DESIGN

A cross-sectional observational study.

SETTING

The data reported were from 17 MS units throughout Spain.

PARTICIPANTS

Adult patients with relapsing-remitting MS.

MAIN OUTCOME

A conjoint analysis was applied to assess preferences. A total of 221 patients completed a survey with 10 hypothetical DMT profiles developed using an orthogonal design and rating preferences from 1 (most acceptable) to 10 (least acceptable). Medication attributes included preventing relapse, preventing disease progression, side effect risk, route and frequency of administration.

RESULTS

Patients placed the greatest relative importance on the side effect risk domain (32.9%), followed by route of administration (26.1%), frequency of administration (22.7%), prevention of disease progression (10.0%) and prevention of relapse (8.3%). These results were independent of the Expanded Disability Status Scale score. The importance assigned to side effect risk was highest for patients with a recent diagnosis. Patients who had previously received more than one DMT gave a higher importance to relapse rate reduction than patients receiving their first DMT.

CONCLUSIONS

Patient DMT preferences were mainly driven by risk minimisation, route of administration and treatment schedule. The risk-benefit spectrum of available DMT for MS is becoming increasingly complicated. Understanding which treatment characteristics are meaningful to patients may help to tailor information for them and facilitate shared decision-making in clinical practice.

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

PURPOSE

Multidimensional unfolding is a multivariate method to assess preferences using a small sample size, a geometric model locating individuals and alternatives as points in a joint space. The objective was to evaluate relapsing-remitting multiple sclerosis (RRMS) patient preferences toward key disease-modifying therapy (DMT) attributes using multidimensional unfolding.

PATIENTS AND METHODS

A cross-sectional pilot study in RRMS patients was conducted. Drug attributes included relapse prevention, disease progression prevention, side-effect risk and route and schedule of administration. Assessment of preferences was performed through a five-card game. Patients were asked to value attributes from 1 (most preferred) to 5 (least preferred).

RESULTS

A total of 37 patients were included; the mean age was 38.6 years, and 78.4% were female. Disease progression prevention was the most important factor (51.4%), followed by relapse prevention (40.5%). The frequency of administration had the lowest preference rating for 56.8% of patients. Finally, 19.6% valued the side-effect risk attribute as having low/very low importance.

CONCLUSION

Patients' perspective for DMT attributes may provide valuable information to facilitate shared decision-making. Efficacy attributes were the most important drug characteristics for RRMS patients. Multidimensional unfolding seems to be a feasible approach to assess preferences in multiple sclerosis patients. Further elicitation studies using multidimensional unfolding with other stated choice methods are necessary to confirm these findings.