Protocol for a pragmatic randomised controlled feasibility study of MS WorkSmart: an online intervention for Australians with MS who are employed

INTRODUCTION

Multiple sclerosis (MS) causes a wide variety of symptoms. Loss of income due to sickness and early retirement comprise one-third of the total cost of MS in Australia. An intervention that maximises work productivity and keeps people with MS in the workforce for longer could provide a large societal cost saving and improve quality of life. The aim is to test the feasibility of delivering and evaluating a 10-week digitally delivered intervention called 'MS WorkSmart'. Findings will provide insights into participant profiles and address key methodological and procedural uncertainties (recruitment, retention, intervention adherence and engagement, and selection of primary outcome) in preparation for a subsequent definitive trial.

METHODS AND ANALYSIS

A parallel-arm randomised controlled feasibility study, comparing those randomised to receive the MS WorkSmart package plus usual care (n=20) to those receiving usual care only (n=20). Australians with MS, aged 18-60 years, who are employed, and self-report work instability will be recruited from the Australian MS Longitudinal Study. Online surveys, at baseline and 1-month postintervention, will include MS-related work productivity loss and risk of job loss, MS work behaviour self-efficacy, health-related quality of life, fatigue severity, MS symptom impact on work, intention to retire due to MS, MS-related work difficulties, and awareness and readiness for change at work. Qualitative feedback will be obtained via a semistructured survey following the intervention (for participants) and via interviews (coaches). Analyses will be primarily descriptive and focus on the feasibility and acceptability of the intervention and study procedures. Progression criteria will guide decisions around whether to progress to a full trial.

ETHICS AND DISSEMINATION

The study has been approved by the University of Tasmania Human Research Ethics Committee (H0024544). Findings will be disseminated via publication in peer-reviewed journals, conference presentations and community presentations.

TRIAL REGISTRATION NUMBER

ACTRN12622000826741.

Informing Digital Programs for Lupus Self-Management Education: A Systematic Scoping Review

OBJECTIVE

We describe the characteristics, content, and effectiveness of digital self-management (SM) education programs for lupus and other chronic conditions to identify gaps and inform the improvement of future programs in lupus.

METHODS

Three bibliographic databases were searched for articles published between May 2012 and April 2022. The search was cast to capture the breadth of digital SM education programs in the following conditions: lupus, epilepsy, fibromyalgia, multiple sclerosis, sickle cell anemia, Sjögren syndrome, psoriatic arthritis, and rheumatoid arthritis. Title and abstract screening, as well as full-text review, was conducted by two independent reviewers. Data extraction was first completed by one author charting all studies and then, a second time, by four members of the research team charting collaboratively.

RESULTS

Of the 1,969 articles identified through the search, 14 met inclusion criteria. Two additional articles were included following bibliography review. The 16 articles represented 12 unique digital SM education programs. Programs covered five conditions: epilepsy (n = 3), fibromyalgia (n = 2), multiple sclerosis (n = 4), lupus (n = 1), and rheumatoid arthritis (n = 2). Most programs were asynchronous and internet-based (n = 9) with a prescribed sequence of content (n = 8). Peer, technical, or specialist support was offered in seven programs. Most programs demonstrated statistically significant improvement of symptoms in the intervention group (n = 8).

CONCLUSION

This scoping review summarizes the current landscape for digital SM education programs in lupus and similar conditions. In lupus, further investigation will fill in the gaps around digital SM education needs, user experience, and evaluation of outcomes.

Long-term effectiveness of a cognitive behavioural therapy (CBT) in the management of fatigue in patients with relapsing remitting multiple sclerosis (RRMS): a multicentre, randomised, open-label, controlled trial versus standard care

BACKGROUND

Fatigue is a disabling symptom of multiple sclerosis (MS). The lack of effective therapeutics has promoted the development of cognitive behavioural therapy (CBT)-based fatigue management programmes. However, their efficacy does not sustain over time. We proposed to test the long-term effectiveness of a 6-week fatigue programme supplemented with four booster sessions ('FACETS+') in patients with relapsing remitting MS (RRMS) and fatigue.

METHODS

This multicentre, randomised, controlled, open-label, parallel-group trial versus standard care enrolled patients with RRMS and fatigue. Participants were randomised to either FACETS+ plus standard care or standard care alone. The primary outcome measure was fatigue impact (Modified Fatigue Impact Scale (MFIS) at 12 months) based on intention-to-treat analyses.

RESULTS

From May 2017 to September 2020, 162 patients were screened; 105 were randomly assigned to FACETS+ (n=57) or standard care (n=48) and 88 completed the primary outcome assessment for the MFIS. At month 12, participants showed improved MFIS compared with baseline in the intervention group (mean difference (MD)=14.0 points; (95% CI 6.45 to 21.5)) and the control group (MD=6.1 points; (95% CI -0.30 to 12.5)) with a significant between-group difference in favour of the intervention group (adjusted MD=7.89 points; (95% CI 1.26 to 14.52), standardised effect size=0.52, p=0.021). No trial-related serious adverse events were reported.

CONCLUSIONS

A 6-week CBT-based programme with four booster sessions is superior to standard care alone to treat MS-related fatigue in the long term (12 months follow-up). The results support the use of the FACETS+ programme for the treatment of MS-related fatigue.

TRIAL REGISTRATION NUMBER

NCT03758820.

Blended versus face-to-face cognitive behavioural therapy for severe fatigue in patients with multiple sclerosis: A non-inferiority RCT

BACKGROUND

Cognitive behavioural therapy (CBT) reduces multiple sclerosis (MS)-related fatigue. Implementation of face-to-face CBT is hindered by limited treatment capacity and traveling distances to treatment locations.

OBJECTIVE

Evaluate whether blended CBT (online treatment modules supported with guidance by a therapist) is non-inferior to face-to-face CBT in reducing fatigue severity in severely fatigued patients with MS.

METHOD

A non-inferiority multicentre randomized clinical trial, in which 166 patients with MS were allocated to either face-to-face or blended CBT. Primary outcome was fatigue severity assessed with the Checklist Individual Strength fatigue subscale directly post-treatment (week 20). Mixed model analysis was used by a statistician blinded for allocation to determine between-group differences post-treatment. The upper limit of the 95% confidence interval (CI) was compared to a pre-specified non-inferiority margin of 5.32.

RESULTS

Blended CBT (N = 82) was non-inferior to face-to-face CBT (N = 84) (B = 1.70, 95% CI: -1.51 to 4.90). Blended CBT significantly reduced therapist time (B = -187.1 minutes, 95% CI: 141.0-233.3). Post hoc analysis showed more improvement (B = -5.35, 95% CI: -9.22 to -1.48) when patients received their preferred treatment. No harm related to treatment was reported.

DISCUSSION

Blended CBT is an efficient alternative to face-to-face CBT. Offering the preferred CBT format may optimize treatment outcome.

Evaluation of a web-based program for the adoption of wellness behaviors to self-manage fatigue and improve quality of life among people with multiple sclerosis: A randomized waitlist-control trial

BACKGROUND

Wellness is a promising area of research in multiple sclerosis (MS); however, considerable questions remain regarding the efficacy of behavioral interventions to improve wellness and which delivery methods yield favorable results.

OBJECTIVE

To evaluate the efficacy of a wellness intervention consisting of diet, stress reduction techniques, sleep hygiene, and exercise, delivered via a 7-week web-based program with no tailored intervention support (e.g., counseling or resources) from the study team, on quality of life (QoL) and fatigue among people with MS.

METHODS

Individuals (n = 100) with self-reported physician's diagnosis of relapsing-remitting MS or clinically isolated syndrome were recruited to enroll in this randomized waitlist-control trial consisting of three timepoints at 0, 12, and 24 weeks. Participants were randomized to begin the intervention at baseline (INT; n = 51) or to a waitlist to begin the intervention after the 12-week timepoint (WLC; n = 49), and both groups were followed for 24 weeks.

RESULTS

At 12-weeks, 95 participants (46 INT and 49 WLC) completed the primary endpoint and 86 (42 INT and 44 WLC) completed the 24-week follow-up. Compared to baseline, the INT group had a significant increase in physical QoL (5.43 ± 1.85; P = 0.003) at 12-weeks which was maintained at 24-weeks. Physical QoL values in the WLC group did not significantly increase between weeks 12 and 24 (3.24 ± 2.03; P = 0.11); however, physical QoL values significantly improved compared to week 0 values (4.00 ± 1.87; P = 0.033). Neither group had significant changes in mental QoL. The INT group had a mean baseline to 12-week change of ‑5.06 ± 1.79 (P = 0.005) for MFIS and -0.68 ± 0.21 (P = 0.002) for FSS, both of which were maintained at 24-weeks. The 12- to 24-week changes for the WLC group were -4.50 ± 1.81 (P = 0.013) for MFIS and -0.44 ± 0.17 (P = 0.011) for FSS. At 12-weeks, the INT group had significantly greater reductions in fatigue compared to the WLC (P = 0.009 for both MFIS and FSS). There were no between-group mean differences for physical or mental QoL, but a significantly higher proportion of participants had clinically significant improvement in physical QoL in the INT group (50%) compared to the WLC group (22.5%) at 12-weeks (P = 0.006). The 12-week intervention effect was similar during the active intervention phase (i.e., baseline to 12 weeks for INT and 12 to 24 weeks for WLC) in each group. Course completion rates significantly differed between groups with 47.9% of the INT group and 18.8% of the WLC group completing the course (P = 0.01).

CONCLUSION

A wellness intervention delivered via a web-based program, without tailored support, resulted in significant improvements in fatigue compared to control.

TRIAL REGISTRATION

Clinicaltrials.gov Identifier: NCT05057676.

Supporting brain health in multiple sclerosis: exploring the potential of neuroeducation combined with practical mindfulness exercises in the management of neuropsychological symptoms

OBJECTIVE

We aimed at examining the effects of a known metacognitive training in MS (MaTiMS) and its modification with an additional neuroeducational module and mindfulness-based exercises (MaTiMS-modified) on neuropsychiatric and cognitive outcomes in people with progressive multiple sclerosis (pwpMS). Exploratively, we investigated whether the modification may show an additional benefit.

METHODS

Both interventions were administered in small groups of ambulatory patients. Neuropsychological testing before and after the 3- to 4-week intervention phase comprised patient reported outcomes and cognitive tests. After 3, 6 and 12 months, participants completed online surveys. Analysis of change scores (between baseline and retest) with t-tests (Mann-Whitney U and Wilcoxon tests, respectively) and mixed ANCOVAs with repeated measures for comparison of both interventions were conducted.

RESULTS

A total of 65 pwpMS turned to a final sample of 50 (n = 15 excluded due to drop-outs, occurrence of relapse or steroid treatment). Change scores within MaTiMS revealed no significant effect on the PDQ-20 total score and only a significant effect on the subscale retrospective memory lasting 3 months with a moderate effect size. In contrast, MaTiMS-modified revealed a highly significant change in PDQ-20 total compared to baseline and significant improvements with small to moderate effect sizes on all PDQ-20 subscales (lasting until 3 months), in self-efficacy, stress, visuo-spatial working memory (moderate effect sizes), and fatigue (small effect size). While no interaction effect between time and group could be revealed, a significant main effect for time was found in PDQ-20 total.

CONCLUSION

Both MaTiMS and MaTiMS-modified positively affected perceived cognitive deficits. However, our data speak in favor of additional benefits by adding neuroeducational and mindfulness-based exercises thus being valuable methods to support brain health including self-efficacy, perceived stress, and fatigue, even in patients with a chronic and progressive brain disease.

Mapping two decades of multiple sclerosis rehabilitation trials: A systematic scoping review and call to action to advance the study of race and ethnicity in rehabilitation research

BACKGROUND

Multiple sclerosis (MS), is prevalent across many racial and ethnic groups, and disproportionately impacts racially minoritized populations. Rehabilitation interventions are an important component of comprehensive MS care. Yet, we do not know the extent to which MS rehabilitation trials consider race and ethnicity in defining eligibility criteria, planning recruitment strategies, selecting outcome measures, supporting intervention delivery, and designing approaches to promote adherence and retention.

METHODS

We conducted a scoping review of five databases (MEDLINE, CINAHL, Cochrane Central, EMBASE, and Web of Science) to locate randomized controlled rehabilitation trials published from January 2002 to March 2022. We extracted data from relevant studies, assessed their methodological quality, and narratively summarized results. Reporting of this review is in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR).

RESULTS

Fifty-six studies of neurorehabilitation (n = 3), cognitive rehabilitation (n = 6), exercise training (n = 9) and self-management (n = 38) interventions were included in this review. The studies were predominantly from North America (n = 44; 73%) or Europe (n = 12; 20%) and included 4280 participants. Most participants (n = 3669; 86%) were Caucasians. Less than 10% of participants were Black (n = 282), Latinx/Hispanic (n = 60), Asian (n = 46), Indigenous (n = 7), or Arab (n = 2). Few studies discussed how race and/or ethnicity were considered in trial planning or execution.

CONCLUSIONS

Without consistent and systematic attention to race and ethnicity, both in terms of trial design and reporting, it is impossible to know how MS rehabilitation interventions will translate into real-world applications. This call to action - to the MS rehabilitation research community to ensure trial and intervention processes that accommodate the needs of diverse racial and ethnic groups - is an important first step in addressing inequities in rehabilitation care for persons with MS.

Effectiveness of a group resilience intervention for people with multiple sclerosis delivered via frontline services

PURPOSE

This study aims to evaluate the effectiveness of an Acceptance and Commitment Therapy-based group resilience intervention (The REsilience and Activities for every DaY program, READY) delivered to people with MS (PwMS) via frontline Italian services.

MATERIALS AND METHODS

This is a single-arm longitudinal study (with a nested qualitative study). READY is composed of seven weekly in-person sessions (2.5-h each) plus a booster session five weeks later. Data were collected immediately before the program, after the booster session, and at 3-months follow-up.

RESULTS

Thirty-three READY groups (237 participants) were run by thirty-three trained psychologists. Participants improved in resilience (primary outcome), anxiety, depression, stress, health-related quality of life (HRQoL), and psychological flexibility and associated processes (acceptance, defusion, and values). Improvements on most outcomes occurred post-intervention and were maintained at a 3-month follow-up. No demographic or illness variables predicted these improvements. Psychological flexibility mediated improvements in resilience, anxiety, depression, stress, and HRQoL. Qualitative data confirmed READY feasibility and the positive psychological impacts on participants.

CONCLUSIONS

Study findings support READY effectiveness with PwMS, its broad applicability in this population, and its delivery through frontline services.IMPLICATIONS FOR REHABILITATIONREADY for MS is a highly structured, brief manualized group intervention.It is effective in improving participants' psychological functioning (resilience, anxiety, depression, stress, HRQoL, psychological flexibility, and related ACT processes).Psychological flexibility mediated the improvements in resilience, anxiety, depression, stress, HRQoL.READY can be effectively delivered through frontline services for PwMS without limitation in terms of participants' demographic and illness characteristics.

Online psychological interventions to improve symptoms in multiple sclerosis: A systematic review: Online psychological interventions in Multiple Sclerosis

The aim of this systematic review was to assess the effectiveness of Internet-based psychological interventions in the treatment of physical, socio-affective and cognitive symptoms and quality of life (QoL) in people with multiple sclerosis (pwMS) to provide currently available evidence. Systematic searches for eligible studies were carried out in four databases (August 2021) using key words. Studies were screened, data extracted, quality appraised and analysed by three independent reviewers, using predefined criteria and following the PRISMA rules. Study quality was assessed using Standard Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields QUALSYST tool. Physical, socio-affective and cognitive symptoms and QoL were the primary outcomes. Thirteen studies were included. Two principal approaches were reported: Cognitive behavioural therapy (CBT) and mindfulness-based interventions (MBI). Interventions varied from tailored versions to videoconference by a clinician, duration mean 8 weeks, delivered via individually and groups, all online. The review found that iCBT interventions were effective for improve depression, anxiety, fatigue and QoL, and slightly in cognitive functioning in pwMS, whereas MBI interventions reported benefits in depression, anxiety, stress and QoL, and less evidence in fatigue. Generally, study quality was acceptable in most studies; eleven of the studies scored a low risk of bias on all items in the Qualsyst Tool, whereas only two studies were considered unacceptable. Psychological online interventions may improve physical, socio-affective and cognitive symptoms as well as QoL in pwMS, overcoming the face-to-face barriers (i.e. disability). Contact with the therapist and groups sessions have been identified as enablers of the online interventions. Nevertheless, the limited number of studies and the heterogeneity of health outcomes reported made difficult to afford robust conclusions on psychological intervention effects in pwMS.

A Comprehensive Literature Search of Digital Health Technology Use in Neurological Conditions: Review of Digital Tools to Promote Self-management and Support

BACKGROUND

The use of digital health technology to promote and deliver postdiagnostic care in neurological conditions is becoming increasingly common. However, the range of digital tools available across different neurological conditions and how they facilitate self-management are unclear.

OBJECTIVE

This review aims to identify digital tools that promote self-management in neurological conditions and to investigate their underlying functionality and salient clinical outcomes.

METHODS

We conducted a search of 6 databases (ie, CINAHL, EMBASE, MEDLINE, PsycINFO, Web of Science, and the Cochrane Review) using free text and equivalent database-controlled vocabulary terms.

RESULTS

We identified 27 published articles reporting 17 self-management digital tools. Multiple sclerosis (MS) had the highest number of digital tools followed by epilepsy, stroke, and headache and migraine with a similar number, and then pain. The majority were aimed at patients with a minority for carers. There were 5 broad categories of functionality promoting self-management: (1) knowledge and understanding; (2) behavior modification; (3) self-management support; (4) facilitating communication; and (5) recording condition characteristics. Salient clinical outcomes included improvements in self-management, self-efficacy, coping, depression, and fatigue.

CONCLUSIONS

There now exist numerous digital tools to support user self-management, yet relatively few are described in the literature. More research is needed to investigate their use, effectiveness, and sustainability, as well as how this interacts with increasing disability, and their integration within formal neurological care environments.

The Feasibility of a Web-Based Educational Lifestyle Program for People With Multiple Sclerosis: A Randomized Controlled Trial

Background

Modifiable lifestyle factors are important to aid people with multiple sclerosis in the self-management of their disease. Current self-management programs are limited by their face-to-face mode of delivery but there is immense potential with the internet to deliver these programs effectively.

Objective

The aims of this study are to assess the feasibility of a digitalized educational lifestyle self-management program for people with MS.

Methods

In this randomized controlled trial, people with MS were randomly allocated to participate in a 6-week tailored web-based educational lifestyle program or 6-week generic standard-care educational course, and were blinded to their allocation. Participants were recruited through multiple sclerosis (MS) Societies in four countries: Australia, New Zealand, Canada, and the United States. The primary outcome was to assess acceptability of the program defined as percentage completion of all modules at 6-weeks post-course commencement. Secondary outcomes included evaluating participant responses to the follow-up survey across three domains: accessibility, learnability, and desirability.

Results

Thirty-five participants from Australia, Canada, New Zealand, and the US completed the baseline survey and were randomized. Four participants were deemed ineligible due to incomplete baseline data; therefore, nine out of 15 and eight out of 16 participants completed 100% of the course in the intervention and standard-care arm courses, respectively.

Conclusions

This study found that this web-based educational lifestyle program is a feasible means of delivering educational content to people with MS via the internet according to our a priori targets of >40% of participants in the intervention arm, and >25% in the control arm to completing 100% of the course. It is therefore appropriate to evaluate this intervention further in a large, randomized controlled trial.

Trial registration

This study was prospectively registered with the Australian New Zealand Clinical Trials Registry (ID: ACTRN12621000245897).

Moderators of Improvements in Fatigue Impact After a Self-management Intervention in Multiple Sclerosis: A Secondary Analysis of a Randomized Controlled Trial

ABSTRACT

Fatigue is one of the most common and disabling symptoms of multiple sclerosis. A recent randomized controlled trial comparing a fatigue self-management program and a general multiple sclerosis education program found that both programs improved fatigue in participants with multiple sclerosis. Participants were randomized to a self-management program (fatigue: take control, n = 109) or a multiple sclerosis education program (multiple sclerosis: take control, n = 109). This secondary analysis of that trial used multilevel moderation analysis to examine moderators of treatment-related effects on fatigue (Modified Fatigue Impact Scale) from baseline through the 6-mo follow-up. The following potential treatment moderators were examined: age, sex, cohabitation/marital status, and baseline levels of self-efficacy, depression symptoms, and sleep quality. Cohabitation status (living with or without a spouse/partner) interacted with intervention group and time to predict fatigue impact (P = 0.04). Fatigue: take control participants who lived with a spouse/partner showed a marginal effect in greater rate of improvement in fatigue compared with those who lived alone (P = 0.08). However, rates of improvement in fatigue in multiple sclerosis: take control participants were similar in those living with or without a spouse/partner. These findings suggest that living with a spouse or partner may facilitate benefit from self-management interventions for multiple sclerosis-related fatigue. Future research should investigate the contribution of supportive others in self-management of fatigue in multiple sclerosis.

Attrition Within Digital Health Interventions for People With Multiple Sclerosis: Systematic Review and Meta-analysis

Background

Digital health interventions have revolutionized multiple sclerosis (MS) care by supporting people with MS to better self-manage their disease. It is now understood that the technological elements that comprise this category of digital health interventions can influence participant engagement in self-management programs, and people with MS can experience significant barriers, influenced by these elements, to remaining engaged during a period of learning. It is essential to explore the influence of technological elements in mitigating attrition.

Objective

This study aimed to examine the study design and technological elements of documented digital health interventions targeted at people with MS—digital health interventions that were intended to support a program of engagement over a defined period—and to explore how these correlated with attrition among participants of randomized controlled trials (RCTs).

Methods

We conducted a systematic review and meta-analysis of RCTs (n=32) describing digital health self-management interventions for people with MS. We analyzed attrition in included studies, using a random-effects model and meta-regression to measure the association between potential moderators.

Results

There were no measured differences in attrition between the intervention and control arms; however, some of the heterogeneity observed was explained by the composite technological element score. The pooled attrition rates for the intervention and control arms were 14.7% and 15.6%, respectively.

Conclusions

This paper provides insight into the technological composition of digital health interventions designed for people with MS and describes the degree of attrition in both study arms. This paper will aid in the design of future studies in this area, particularly for digital health interventions of this type.

Self-directed Technology-Based Therapeutic Methods for Adult Patients Receiving Mental Health Services: Systematic Review

BACKGROUND

Technological interventions used to treat illnesses and promote health are grouped under the umbrella term of digital therapeutics. The use of digital therapeutics is becoming increasingly common in mental health. Although many technologies are currently being implemented, research supporting their usability, efficacy, and risk requires further examination, especially for those interventions that can be used without support.

OBJECTIVE

This review aims to identify the evidence-based, self-directed, technology-based methods of care that can be used in adult patients after they are discharged from mental health services. The interventions reviewed are automated with no human input required (either at the patient's or at the technology's end), so the patients can implement them without any support.

METHODS

A systematic review was conducted according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and PROSPERO (International Prospective Register of Systematic Reviews) guidelines in 3 databases: PubMed, Web of Science, and OVID. The inclusion criteria were self-directed, automated, and technology-based interventions related to mental health, primarily for adults, having a solid evaluation process. The interventions had to be self-directed, in that the participants could use the technology without any external guidance.

RESULTS

We identified 36 papers that met the inclusion criteria: 26 randomized controlled trials, 9 nonrandomized controlled trial quantitative studies, and 1 qualitative study. The technologies used included websites, automated text messaging, phone apps, videos, computer software, and integrated voice response. There were 22 studies focused on internet-based cognitive behavioral therapies as a therapeutic paradigm compared with the waitlist, web-based human-delivered therapy, and other interventions. Among these studies, 14 used paradigms other than the internet-based cognitive behavioral therapy. Of the 8 studies comparing guided and unguided digital care, 3 showed no differences, 3 favored guided interventions, and 2 favored unguided interventions. The research also showed that dropout rates were as high as 80%, citing potential problems with the acceptability of the suggested technologies.

CONCLUSIONS

There is limited research on the efficacy and suitability of self-directed technology-based care options for mental health. Digital technologies have the potential to bridge the gap between ambulatory care and independent living. However, these interventions may need to be developed collaboratively with the users to encourage their acceptability and to avoid high dropout rates.

Which exercise and behavioural interventions show most promise for treating fatigue in multiple sclerosis? A network meta-analysis

BACKGROUND

Fatigue is a common, debilitating symptom of multiple sclerosis (MS) without a current standardised treatment.

OBJECTIVE

The aim of this systematic review with network meta-analyses was to estimate the relative effectiveness of both fatigue-targeted and non-targeted exercise, behavioural and combined (behavioural and exercise) interventions.

METHODS

Nine electronic databases up to August 2018 were searched, and 113 trials (n = 6909) were included: 34 were fatigue-targeted and 79 non-fatigue-targeted trials. Intervention characteristics were extracted using the Template for Intervention Description and Replication guidelines. Certainty of evidence was assessed using GRADE.

RESULTS

Pairwise meta-analyses showed that exercise interventions demonstrated moderate to large effects across subtypes regardless of treatment target, with the largest effect for balance exercise (SMD = 0.84). Cognitive behavioural therapies (CBTs) showed moderate to large effects (SMD = 0.60), with fatigue-targeted treatments showing larger effects than those targeting distress. Network meta-analysis showed that balance exercise performed significantly better compared to other exercise and behavioural intervention subtypes, except CBT. CBT was estimated to be superior to energy conservation and other behavioural interventions. Combined exercise also had a moderate to large effect.

CONCLUSION

Treatment recommendations for balance and combined exercise are tentative as the certainty of the evidence was moderate. The certainty of the evidence for CBT was high.

Early Treatment Improvements in Depression Are Associated With Overall Improvements in Fatigue Impact and Pain Interference in Adults With Multiple Sclerosis

BACKGROUND

Depression, fatigue, and pain commonly co-occur in multiple sclerosis (MS) and are positively associated with one another. However, it is unclear whether treatment-related improvement in one of these symptoms is associated with improvements in the other two symptoms.

PURPOSE

This study examined whether early improvements in depressive symptoms, fatigue impact, and pain interference during a multisymptom intervention in persons with MS were associated with overall improvements in the other two symptoms.

METHODS

Secondary analysis of a randomized controlled trial in which both treatments improved depressive symptoms, fatigue, and pain interference. Adults with MS experiencing chronic pain, chronic fatigue, and/or moderate depressive symptoms (N = 154, 86% women) participated in an 8-week, telephone-delivered intervention: self-management (n = 69) or education (n = 85); intervention groups were combined for the current study. Outcome measures were depressive symptoms (PHQ-9), fatigue impact (Modified Fatigue Impact Scale), and pain interference (Brief Pain Inventory). Path analysis examined associations between pre-to-mid intervention improvement in one symptom (i.e., depression, fatigue, pain interference) and pre-to-post (overall) improvement in the other two symptoms.

RESULTS

Early reduction in depressive symptoms was associated with an overall reduction in pain interference and fatigue impact (p's < .01). Early reduction in fatigue impact was associated with an overall reduction in depressive symptom severity (p = .04) but not pain interference. Early reduction in pain interference was not associated with reductions in fatigue impact or depressive symptoms.

CONCLUSIONS

These findings suggest the potential importance of reducing depressive symptoms to overall improvement in fatigue and pain interference in persons with MS.

CLINICAL TRIAL REGISTRATIONS

NCT00944190.

Differences in correlates of fatigue between relapsing and progressive forms of multiple sclerosis

BACKGROUND

Fatigue is one of the most prevalent and impactful symptoms for people with multiple sclerosis (MS). Yet, fatigue is less understood in progressive forms of MS, and few studies have explored the extent to which MS disease course is associated with fatigue. The current study aimed to (1) describe fatigue severity and fatigue interference (the extent to which fatigue interferes with individuals' physical, mental, and social activities) in people with progressive MS (primary progressive MS and secondary progressive MS); (2) compare fatigue severity and fatigue interference in people with progressive forms of MS to people with relapsing-remitting MS (RRMS); and (3) identify factors associated with fatigue severity and fatigue interference in people with progressive forms of MS and RRMS.

METHODS

Secondary analysis of baseline data from participants with MS (N = 573; progressive forms of MS n = 142; RRMS n = 431) in a survey-based longitudinal study on healthy aging in people with a physical disability. Primary outcomes were average fatigue severity (0-10 Numerical Rating Scale), and fatigue interference (PROMIS Fatigue Short Form). Correlates were variables across the demographic and biopsychosocial domains, collected with validated self-reported measures. Statistical methods included t-test and chi-square analyses to compare fatigue severity and fatigue interference in people with progressive MS to those with RRMS, and multiple regression analyses to examine the association of variables with fatigue severity and fatigue interference.

RESULTS

Participants with progressive forms of MS reported moderate to severe levels of average fatigue severity (5.9 ± 2.8) and elevated levels of fatigue interference (T-Score of 58.2 ± 7.9). There were no group differences between people with progressive MS and RRMS in average fatigue severity or fatigue interference. Common factors associated with greater fatigue severity were lower income, being unemployed, shorter disease duration, greater disability, and greater sleep disturbance. Common factors associated with fatigue interference were younger age, lower income, being unemployed, greater disability, lower alcohol consumption, being a smoker, and greater sleep disturbance. For those with progressive forms of MS, longer MS disease duration was associated with lower average fatigue severity (b = -0.08, t(532) = -3.69, p < .001) and having a college degree or higher was associated with higher fatigue interference (b = 2.84, t(520) = 2.23, p = .026).

CONCLUSION

In this sample, fatigue severity and fatigue interference were similar for progressive forms of MS and RRMS. Future research should consider if interventions that work for fatigue management in people with relapsing forms of MS work similarly for people with progressive forms of MS.

Design considerations for a multiple sclerosis fatigue mobile app MS Energize: A pragmatic iterative approach using usability testing and resonance checks

Multiple sclerosis (MS) is a chronic neurological condition affecting around 2.2 million people worldwide. The illness includes a range of symptoms, with fatigue considered to be one of the most disabling. This paper describes how a pragmatic and iterative approach, supported by usability and resonance testing, was used to build a minimum viable product of MS Energize-or MS Energise in UK English regions. MS Energise is a mobile application focused on self-management of fatigue for people with MS. The iterative approach included various stages of testing, during which user feedback including comments about interface, navigation and content, was sought to inform incremental app development and continual improvement. Usability testing was conducted with 11 people with longstanding multiple sclerosis in New Zealand and the United Kingdom, and focused on particular sections of the app as well as the accessibility of the app to users with MS. Two participants contributed to further resonance testing post-release to ensure the app was perceived as relevant and useful to the user. The usability testing and resonance testing phases suggested that user experience of MS Energise was mostly positive. Participants provided a number of suggestions for improvements to aspects of content and design; some of which we implemented during our app development process. Findings will also contribute to future planning and design iteration to enhance the user experience. The next step is further improvement of MS Energise prior to a trial of its clinical and cost effectiveness.

E-health and multiple sclerosis

PURPOSE OF REVIEW

To outline recent applications of e-health data and digital tools for improving the care and management of healthcare for people with multiple sclerosis.

RECENT FINDINGS

The digitization of most clinical data, along with developments in communication technologies, miniaturization of sensors and computational advances are enabling aggregation and clinically meaningful analyses of real-world data from patient registries, digital patient-reported outcomes and electronic health records (EHR). These data are allowing more confident descriptions of prognoses for multiple sclerosis patients and the long-term relative benefits and safety of disease-modifying treatments (DMT). Registries allow detailed, multiple sclerosis-specific data to be shared between clinicians more easily, provide data needed to improve the impact of DMT and, with EHR, characterize clinically relevant interactions between multiple sclerosis and other diseases. Wearable sensors provide continuous, long-term measures of performance dynamics in relevant ecological settings. In conjunction with telemedicine and online apps, they promise a major expansion of the scope for patients to manage aspects of their own care. Advances in disease understanding, decision support and self-management using these Big Data are being accelerated by machine learning and artificial intelligence.

SUMMARY

Both health professionals and patients can employ e-health approaches and tools for development of a more patient-centred learning health system.

Effectiveness of theory-based digital self-management interventions for improving depression, anxiety, fatigue and self-efficacy in people with neurological disorders: A systematic review and meta-analysis

INTRODUCTION

This study aimed to (a) review what theories have been applied to the development of digital self-management interventions for people with neurological disorders; (b) examine their effectiveness to improve depression, anxiety, fatigue and self-efficacy; and (c) identify the optimal mode of intervention delivery.

METHODS

Electronic databases (SCOPUS, MEDLINE, EMBASE, CINAHL, Cochrane Library and Clinicaltrials.gov) were searched. Two investigators independently screened studies and extracted data. Study quality and use of theory were also assessed.

RESULTS

A total of 944 studies were screened, and 16 randomised controlled trials were included. Theory-based digital self-management interventions were effective in reducing depression (standardised mean difference (SMD) = -0.77, 95% confidence interval (CI) -1.04 to -0.49), anxiety (SMD = -0.88, 95% CI -1.54 to -0.21) and fatigue (SMD = -0.62, 95% CI -0.96 to -0.27) and in enhancing self-efficacy (SMD = 1.15, 95% CI 0.11-2.18). Cognitive-behavioural theory (CBT)-based interventions were effective in reducing depression (SMD = -0.81, 95% CI -1.22 to -0.39), anxiety (SMD = -1.15, 95% CI -1.85 to -0.44) and fatigue (SMD = -0.75, 95% CI -0.97 to -0.54) and in improving self-efficacy (SMD = 0.84, 95% CI 0.63-1.05), whereas social cognitive theory (SCT)-based interventions were effective in reducing depression (SMD = -0.73, 95% CI -1.17 to -0.28). Partially digital interventions were more effective than fully digital interventions.

DISCUSSION

Our findings support the use of theory to guide the development of digital self-management interventions to increase intervention effectiveness. In particular, CBT-based interventions have a positive impact on depression, anxiety, fatigue and self-efficacy, whereas SCT-based interventions have a positive impact on depression.

Understanding Self-Guided Web-Based Educational Interventions for Patients With Chronic Health Conditions: Systematic Review of Intervention Features and Adherence

Background

Chronic diseases contribute to 71% of deaths worldwide every year, and an estimated 15 million people between the ages of 30 and 69 years die mainly because of cardiovascular disease, cancer, chronic respiratory diseases, or diabetes. Web-based educational interventions may facilitate disease management. These are also considered to be a flexible and low-cost method to deliver tailored information to patients. Previous studies concluded that the implementation of different features and the degree of adherence to the intervention are key factors in determining the success of the intervention. However, limited research has been conducted to understand the acceptability of specific features and user adherence to self-guided web interventions.

Objective

This systematic review aims to understand how web-based intervention features are evaluated, to investigate their acceptability, and to describe how adherence to web-based self-guided interventions is defined and measured.

Methods

Studies published on self-guided web-based educational interventions for people (≥14 years old) with chronic health conditions published between January 2005 and June 2020 were reviewed following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Statement protocol. The search was performed using the PubMed, Cochrane Library, and EMBASE (Excerpta Medica dataBASE) databases; the reference lists of the selected articles were also reviewed. The comparison of the interventions and analysis of the features were based on the published content from the selected articles.

Results

A total of 20 studies were included. Seven principal features were identified, with goal setting, self-monitoring, and feedback being the most frequently used. The acceptability of the features was measured based on the comments collected from users, their association with clinical outcomes, or device adherence. The use of quizzes was positively reported by participants. Self-monitoring, goal setting, feedback, and discussion forums yielded mixed results. The negative acceptability was related to the choice of the discussion topic, lack of face-to-face contact, and technical issues. This review shows that the evaluation of adherence to educational interventions was inconsistent among the studies, limiting comparisons. A clear definition of adherence to an intervention is lacking.

Conclusions

Although limited information was available, it appears that features related to interaction and personalization are important for improving clinical outcomes and users’ experience. When designing web-based interventions, the selection of features should be based on the targeted population’s needs, the balance between positive and negative impacts of having human involvement in the intervention, and the reduction of technical barriers. There is a lack of consensus on the method of evaluating adherence to an intervention. Both investigations of the acceptability features and adherence should be considered when designing and evaluating web-based interventions. A proof-of-concept or pilot study would be useful for establishing the required level of engagement needed to define adherence.

Testing non-inferiority of blended versus face-to-face cognitive behavioural therapy for severe fatigue in patients with multiple sclerosis and the effectiveness of blended booster sessions aimed at improving long-term outcome following both therapies: study protocol for two observer-blinded randomized clinical trials

BACKGROUND

Cognitive behavioural therapy (CBT) has been found to be effective in reducing fatigue severity in MS patients directly following treatment. However, long-term effects are inconsistent leaving room for improvement. In addition, individual face-to-face CBT draws heavily on limited treatment capacity, and the travel distance to the treatment centre can be burdensome for patients. Therefore, we developed "MS Fit", a blended CBT for MS-related fatigue, based on a face-to-face CBT protocol found effective in a previous study, and "MS Stay Fit", internet-based booster sessions to improve long-term effectiveness of CBT for MS-related fatigue. This article presents the protocol of two randomised clinical trials (RCTs) conducted within one study investigating (1) the non-inferiority of MS Fit compared with evidence-based face-to-face CBT for MS-related fatigue and (2) the effectiveness of MS Stay Fit on the long-term outcome of fatigue compared with no booster sessions.

METHODS/DESIGN

The first part of this study is an observer-blinded non-inferiority multicentre RCT, in which 166 severely fatigued MS patients will be randomly assigned (1:1 ratio, computer-generated sequence) to either face-to-face CBT or blended CBT (MS Fit) for fatigue. The primary endpoint is at 20 weeks after baseline. After this post-treatment assessment, patients will be randomly assigned again (1:1 ratio, computer generated sequence) to either MS Stay Fit consisting of two booster sessions at 2 and 4 months after end of treatment or no booster sessions. The primary endpoint of the second study is 52 weeks after baseline. Primary outcome measure in both studies is fatigue severity assessed with the fatigue severity subscale of the Checklist Individual Strength (CIS20r). Outcomes will be assessed at baseline (T0), at the end of treatment (T20), and after 39 and 52 weeks (T39 and T52).

DISCUSSION

If MS Fit is found to be non-inferior to face-to-face CBT, it will improve the accessibility of this treatment. In addition, the study aims to test whether it is possible to improve long-term effectiveness of CBT for MS-related fatigue with MS Stay Fit.

TRIAL REGISTRATION

Dutch Trial Register (NTR6966), registered 18 January 2018 https://www.trialregister.nl/trial/6782 WORLD HEALTH ORGANIZATION (WHO) TRIAL REGISTRATION DATA SET: All items from the WHO Trial Registration Data Set can be found within the protocol.

Which behavioural and exercise interventions targeting fatigue show the most promise in multiple sclerosis? A systematic review with narrative synthesis and meta-analysis

Fatigue is a common and highly debilitating symptom of multiple sclerosis (MS). This meta-analytic systematic review with detailed narrative synthesis examined randomised-controlled (RCTs) and controlled trials of behavioural and exercise interventions targeting fatigue in adults with MS to assess which treatments offer the most promise in reducing fatigue severity/impact. Medline, EMBASE and PsycInfo electronic databases, amongst others, were searched through to August 2018. Thirty-four trials (12 exercise, 16 behavioural and 6 combined; n = 2,434 participants) met inclusion criteria. Data from 31 studies (n = 1,991 participants) contributed to the meta-analysis. Risk of bias (using the Cochrane tool) and study quality (GRADE) were assessed. The pooled (SMD) end-of-treatment effects on self-reported fatigue were: exercise interventions (n = 13) -.84 (95% CI -1.20 to -.47); behavioural interventions (n = 16) -.37 (95% CI -.53 to -.22); combined interventions (n = 5) -.16 (95% CI: -.36 to .04). Heterogeneity was high overall. Study quality was very low for exercise interventions and moderate for behavioural and combined interventions. Considering health care professional time, subgroup results suggest web-based cognitive behavioural therapy for fatigue, balance and/or multicomponent exercise interventions may be the cost-efficient therapies. These need testing in large RCTs with long-term follow-up to help define an implementable fatigue management pathway in MS.

Digitizing a Face-to-Face Group Fatigue Management Program: Exploring the Views of People With Multiple Sclerosis and Health Care Professionals Via Consultation Groups and Interviews

BACKGROUND

Fatigue is one of the most common and debilitating symptoms of multiple sclerosis (MS) and is the main reason why people with MS stop working early. The MS Society in the United Kingdom funded a randomized controlled trial of FACETS-a face-to-face group-based fatigue management program for people with multiple sclerosis (pwMS)-developed by members of the research team. Given the favorable trial results and to help with implementation, the MS Society supported the design and printing of the FACETS manual and materials and the national delivery of FACETS training courses (designed by the research team) for health care professionals (HCPs). By 2015 more than 1500 pwMS had received the FACETS program, but it is not available in all areas and a face-to-face format may not be suitable for, or appeal to, everyone. For these reasons, the MS Society funded a consultation to explore an alternative Web-based model of service delivery.

OBJECTIVE

The aim of this study was to gather views about a Web-based model of service delivery from HCPs who had delivered FACETS and from pwMS who had attended FACETS.

METHODS

Telephone consultations were undertaken with FACETS-trained HCPs who had experience of delivering FACETS (n=8). Three face-to-face consultation groups were held with pwMS who had attended the FACETS program: London (n=4), Liverpool (n=4), and Bristol (n=7). The interviews and consultation groups were digitally recorded and transcribed. A thematic analysis was undertaken to identify key themes. Toward the end of the study, a roundtable meeting was held to discuss outcomes from the consultation with representatives from the MS Society, HCPs, and pwMS.

RESULTS

Key challenges and opportunities of designing and delivering an integrated Web-based version of FACETS and maintaining user engagement were identified across 7 themes (delivery, online delivery, design, group, engagement, interactivity, and HCP relationships). Particularly of interest were themes related to replicating the group dynamics and the lack of high-quality solutions that would support the FACETS' weekly homework tasks and symptom monitoring and management.

CONCLUSIONS

A minimum viable Web-based version of FACETS was suggested as the best starting point for a phased implementation, enabling a solution that could then be added to over time. It was also proposed that a separate study should look to create a free stand-alone digital toolkit focusing on the homework elements of FACETS. This study has commenced with a first version of the toolkit in development involving pwMS throughout the design and build stages to ensure a user-centered solution.

Computerized Cognitive Behavioral Therapy for Treatment of Depression in Multiple Sclerosis: A Narrative Review of Current Findings and Future Directions

Depression is common in multiple sclerosis (MS), affecting up to 50% of patients at some point in their lifetime. Although the rate of depression in MS is higher than that in the general population and that in patients with other chronic medical conditions, depression in MS is underdiagnosed and undertreated. Antidepressant agents are used empirically in the management of MS-related depression, but evidence specifically demonstrating the efficacy of these medications in patients with MS is sparse. Considerable work suggests that psychological interventions such as cognitive behavioral therapy (CBT) may be effective in the management of depression in MS. Recently there has been an expansion of computerized adaptations of CBT, allowing patients to complete therapy sessions remotely via online programs. This article reviews our current understanding of depression in MS and the role of CBT in its management, focusing on recent developments in computerized formats for CBT. Four computerized CBT programs that have been previously tested in patients with MS are described: Deprexis, MoodGYM, Beating the Blues, and MS Invigor8. We conclude that despite challenges inherent to computerized CBT interventions, such platforms have the potential to positively affect mental health care delivery to the MS patient population.

Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study

Background

Mobile health (mHealth) apps might have the potential to promote self-management of people with multiple sclerosis (MS) in everyday life. However, the uptake of MS apps remains poor, and little is known about the facilitators and barriers for their efficient utilization, such as technology acceptance.

Objective

The aim of this study was to examine the acceptance of mHealth apps for disease management in the sense of behavioral intentions to use and explore determinants of utilization among people with MS based on the Unified Theory of Acceptance and Use of Technology (UTAUT).

Methods

Participants for this Web-based cross-sectional study were recruited throughout Germany with the support of regional MS associations and self-help groups. To identify determinants of intention to use MS apps, a measure based on the UTAUT was adapted with 4 key determinants (performance expectancy, effort expectancy, social influence, and facilitating conditions) and extended by Intolerance of Uncertainty (IU) and electronic health literacy. Potential influencing effects of both MS and computer self-efficacy (C-SE) as mediators and fatigue as a moderator were analyzed using Hayes’s PROCESS macro (SPSS version 3.0) for IBM SPSS version 24.0.

Results

A total of 98 participants (mean age 47.03 years, SD 10.17; 66/98, 67% female) with moderate fatigue levels completed the survey. Although most participants (91/98, 92%) were daily smartphone users, almost two-thirds (62/98, 63%) reported no experience with MS apps. Overall, the acceptance was moderate on average (mean 3.11, SD 1.31, minimum=1 and maximum=5), with lower scores among persons with no experience (P=.04) and higher scores among current users (P<.001). In multiple regression analysis (R²=63% variance explained), performance expectancy (beta=.41) and social influence (beta=.33) were identified as significant predictors of acceptance (all P<.001). C-SE was confirmed as a partial mediator in the relationship between IU and acceptance (indirect effect: B=−.095, 95% CI −0.227 to −0.01). Furthermore, a moderated mediation by C-SE was shown in the relationship between IU and behavioral intentions to use MS apps for low (95% CI −0.42 to −0.01) and moderate levels (95% CI −0.27 to −0.01) of fatigue.

Conclusions

Overall, this exploratory pilot study indicates for the first time that positive expectations about the helpfulness for self-management purposes and social support might be important factors to be considered for improving the acceptance of MS apps among smartphone users with MS. However, given some inconsistent findings, especially regarding the role of effort expectancy and IU and self-efficacy, the conceptual model needs replication with a larger sample of people with MS, varying more in fatigue levels, and a longitudinal assessment of the actual usage of MS apps predicted by acceptance in the sense of behavioral intentions to use.

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.

Information provision for people with multiple sclerosis

BACKGROUND

People with multiple sclerosis (MS) are confronted with a number of important uncertainties concerning many aspects of the disease. These include diagnosis, prognosis, disease course, disease-modifying therapies, symptomatic therapies, and non-pharmacological interventions, among others. While people with MS demand adequate information to be able to actively participate in medical decision making and to self manage their disease, it has been shown that patients' disease-related knowledge is poor, therefore guidelines recommend clear and concise high-quality information at all stages of the disease. Several studies have outlined communication and information deficits in the care of people with MS. However, only a few information and decision support programmes have been published.

OBJECTIVES

The primary objectives of this updated review was to evaluate the effectiveness of information provision interventions for people with MS that aim to promote informed choice and improve patient-relevant outcomes, Further objectives were to evaluate the components and the developmental processes of the complex interventions used, to highlight the quantity and the certainty of the research evidence available, and to set an agenda for future research.

SEARCH METHODS

For this update, we searched the Cochrane Multiple Sclerosis and Rare Diseases of the Central Nervous System Group Specialised Register, which contains trials from CENTRAL (the Cochrane Library 2017, Issue 11), MEDLINE, Embase, CINAHL, LILACS, PEDro, and clinical trials registries (29 November 2017) as well as other sources. We also searched reference lists of identified articles and contacted trialists.

SELECTION CRITERIA

Randomised controlled trials (RCTs), cluster-randomised controlled trials, and quasi-randomised trials comparing information provision for people with MS or suspected MS (intervention groups) with usual care or other types of information provision (control groups) were eligible.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed the retrieved articles for relevance and methodological quality and extracted data. Critical appraisal of studies addressed the risk of selection bias, performance bias, attrition bias, and detection bias. We contacted authors of relevant studies for additional information.

MAIN RESULTS

We identified one new RCT (73 participants), which when added to the 10 previously included RCTs resulted in a total of 11 RCTs that met the inclusion criteria and were analysed (1387 participants overall; mean age, range: 31 to 51; percentage women, range: 63% to 100%; percentage relapsing-remitting MS course, range: 45% to 100%). The interventions addressed a variety of topics using different approaches for information provision in different settings. Topics included disease-modifying therapy, relapse management, self care strategies, fatigue management, family planning, and general health promotion. The active intervention components included decision aids, decision coaching, educational programmes, self care programmes, and personal interviews with physicians. All studies used one or more components, but the number and extent differed markedly between studies. The studies had a variable risk of bias. We did not perform meta-analyses due to marked clinical heterogeneity. All five studies assessing MS-related knowledge (505 participants; moderate-certainty evidence) detected significant differences between groups as a result of the interventions, indicating that information provision may successfully increase participants' knowledge. There were mixed results on decision making (five studies, 793 participants; low-certainty evidence) and quality of life (six studies, 671 participants; low-certainty evidence). No adverse events were detected in the seven studies reporting this outcome.

AUTHORS' CONCLUSIONS

Information provision for people with MS seems to increase disease-related knowledge, with less clear results on decision making and quality of life. The included studies in this review reported no negative side effects of providing disease-related information to people with MS. Interpretation of study results remains challenging due to the marked heterogeneity of interventions and outcome measures.

Randomised controlled trial of a self-guided online fatigue intervention in multiple sclerosis

OBJECTIVE

Fatigue is a major disabling symptom in many chronic diseases including multiple sclerosis (MS), but treatment options are limited.Here, we tested the effectiveness of a self-guided , interactive, online fatigue management programme (ELEVIDA) based on principles of cognitive behavioural therapy (CBT) and related psychotherapeutic approaches (eg, mindfulness) for reducing fatigue in MS.

METHODS

Patients with MS and self-reported fatigue were recruited via the website of the German MS Society and assigned via an automated randomisation generator (1:1, no blocking or stratification) to a 12-week online intervention (ELEVIDA, n=139, 82% female, mean age 40.8, median patient determined disease steps (PDDS) 3.0) or a waitlist control group (n=136, 79% female, mean age 41.9, median PDDS 3.0). The primary outcome was the Chalder Fatigue Scale. Outcomes were assessed at baseline, at week 12 (postintervention) and at follow-up (week 24).

RESULTS

Compared with the control group, significantly greater reductions in Chalder Fatigue Scale scores were seen in the ELEVIDA group at week 12 (primary endpoint, intention-to-treat analysis: between-group mean difference 2.74 points; 95% CI 1.16 to 4.32; p=0.0007; effect size d=0.53), with effects sustained at week 24 (intention-to-treat analysis: between-group mean difference 2.19 points; 95% CI 0.57 to 3.82; p=0.0080).

CONCLUSIONS

Our trial provides evidence for the effectiveness of a self-guided , internet-based intervention to reduce fatigue in MS. Interventions such as ELEVIDA may be a suitable low barrier, cost-effective treatment option for MS fatigue.

TRIAL REGISTRATION NUMBER

ISRCTN registry (number ISRCTN25692173).

A pedometer-based walking intervention with and without email counseling in general practice: a pilot randomized controlled trial

BACKGROUND

General practitioners play a fundamental role in combatting the current epidemic of physical inactivity, and pedometer-based walking interventions are able to increase physical activity levels of their patients. Supplementing these interventions with email counseling driven by feedback from the pedometer has the potential to further improve their effectiveness but it has to be yet confirmed in clinical trials. Therefore, the aim of our pilot randomized controlled trial is to evaluate the feasibility and potential efficacy of future trials designed to assess the additional benefit of email counseling added to a pedometer-based intervention in a primary care setting.

METHODS

Physically inactive patients were opportunistically recruited from four general practices and randomized to a 12-week pedometer-based intervention with or without email counseling. To explore the feasibility of future trials, we assessed the speed and efficiency of recruitment, adherence to wearing the pedometer, and engagement with email counseling. To evaluate the potential efficacy, daily step-count was the primary outcome and blood pressure, waist and hip circumference, and body mass were the secondary outcomes. Additionally, we conducted a qualitative analysis of structured interviews with the participating general practitioners.

RESULTS

The opportunistic recruitment has been shown to be feasible and acceptable, but relatively slow and inefficient; moreover, general practitioners selectively recruited overweight and obese patients. Patients manifested high adherence, wearing the pedometer on 83% (± 20) of days. All patients from the counseling group actively participated in email communication and responded to 46% (± 22) of the emails they received. Both groups significantly increased their daily step-count (pedometer-plus-email, + 2119, p = 0.002; pedometer-alone, + 1336, p = 0.03), but the difference between groups was not significant (p = 0.18). When analyzing both groups combined, there was a significant decrease in body mass (- 0.68 kg, p = 0.04), waist circumference (- 1.73 cm, p = 0.03), and systolic blood pressure (- 3.48 mmHg, p = 0.045).

CONCLUSIONS

This study demonstrates that adding email counseling to a pedometer-based intervention in a primary care setting is feasible and might have the potential to increase the efficacy of such an intervention in increasing physical activity levels.

TRIAL REGISTRATION

The trial was retrospectively registered at ClinicalTrials.gov (ID: NCT03135561 , date: April 26, 2017).

The Use of Digital and Remote Communication Technologies as a Tool for Multiple Sclerosis Management: Narrative Review

Despite recent advances in multiple sclerosis (MS) care, many patients only infrequently access health care services, or are unable to access them easily, for reasons such as mobility restrictions, travel costs, consultation and treatment time constraints, and a lack of locally available MS expert services. Advances in mobile communications have led to the introduction of electronic health (eHealth) technologies, which are helping to improve both access to and the quality of health care services. As the Internet is now readily accessible through smart mobile devices, most people can take advantage of eHealth apps. The development of digital applications and remote communication technologies for patients with MS has increased rapidly in recent years. These apps are intended to complement traditional in-clinic approaches and can bring significant benefits to both patients with MS and health care providers (HCPs). For patients, such eHealth apps have been shown to improve outcomes and increase access to care, disease information, and support. These apps also help patients to participate actively in self-management, for example, by tracking adherence to treatment, changes in bladder and bowel habits, and activity and mood. For HCPs, MS eHealth solutions can simplify the multidisciplinary approaches needed to tailor MS management strategies to individual patients; facilitate remote monitoring of patient symptoms, adverse events, and outcomes; enable the efficient use of limited resources and clinic time; and potentially allow more timely intervention than is possible with scheduled face-to-face visits. These benefits are important because MS is a long-term, multifaceted chronic condition that requires ongoing monitoring, assessment, and management. We identified in the literature 28 eHealth solutions for patients with MS that fall within the four categories of screening and assessment, disease monitoring and self-management, treatment and rehabilitation, and advice and education. We review each solution, focusing on any clinical evidence supporting their use from prospective trials (including ASSESS MS, Deprexis, MSdialog, and the Multiple Sclerosis Performance Test) and consider the opportunities, barriers to adoption, and potential pitfalls of eHealth technologies in routine health care.

The Efficacy of Psychological Interventions for Managing Fatigue in People With Multiple Sclerosis: A Systematic Review and Meta-Analysis

Background

Multiple sclerosis (MS) is a complex, demyelinating disease of the central nervous system. Fatigue is commonly reported by people with MS (PwMS). MS-related fatigue severely affects daily activities, employment, socioeconomic status, and quality of life.

Objective

We conducted this systematic review and meta-analysis to determine whether psychological interventions are effective in managing fatigue in PwMS.

Data sources

We performed systematic searches of Medline, EMBASE, PsycINFO, and CINAHL to identify relevant articles published from database inception to April 5, 2017. Reference lists from relevant reviews were also searched.

Study selection and design

Two independent reviewers screened the papers, extracted data, and appraised the included studies. A clinical psychologist verified whether interventions were psychological approaches. A narrative synthesis was conducted for all included studies. For relevant randomized controlled trials that reported sufficient information to determine standardized mean differences (SMDs) and 95% confidence intervals (CIs), meta-analyses were conducted using a random-effects model.

Results

Of the 353 identified articles, 20 studies with 1,249 PwMS were included in this systematic review. Narrative synthesis revealed that psychological interventions reduced fatigue in PwMS. Meta-analyses revealed that cognitive behavioral therapy decreased levels of fatigue compared with non-active controls (SMD = −0.32; 95% CI: −0.63 to −0.01) and compared with active controls (relaxation or psychotherapy) (SMD = −0.71; 95% CI: −1.05 to −0.37). Meta-analyses further showed that both relaxation (SMD = −0.90; 95% CI: −1.30 to −0.51), and mindfulness interventions (SMD = −0.62; 95% CI: −1.12 to −0.12), compared with non-active control, decreased fatigue levels. The estimates of heterogeneity for the four meta-analyses varied between none and moderate.

Conclusion

This study found that the use of psychological interventions for MS-related fatigue management reduced fatigue in PwMS. While psychological interventions are generally considered first-line therapy for MS-related fatigue, further studies are needed to explore the long-term effect of this therapy.

The Experience of Persons With Multiple Sclerosis Using MS INFoRm: An Interactive Fatigue Management Resource

We aimed to understand participants' experiences with a self-guided fatigue management resource, Multiple Sclerosis: An Interactive Fatigue Management Resource ( MS INFoRm), and the extent to which they found its contents relevant and useful to their daily lives. We recruited 35 persons with MS experiencing mild to moderate fatigue, provided them with MS INFoRm, and then conducted semistructured interviews 3 weeks and 3 months after they received the resource. Interpretive description guided the analysis process. Findings indicate that participants' experience of using MS INFoRm could be understood as a process of change, influenced by their initial reactions to the resource. They reported experiencing a shift in knowledge, expectations, and behaviors with respect to fatigue self-management. These shifts led to multiple positive outcomes, including increased levels of self-confidence and improved quality of life. These findings suggest that MS INFoRm may have a place in the continuum of fatigue management interventions for people with MS.

Using mixed methods case-series evaluation in the development of a guided self-management hybrid CBT and ACT intervention for multiple sclerosis pain

PURPOSE

Two-thirds of the people with multiple sclerosis (pwMS) experience pain. Medications provide minimal relief, and current non-pharmacological interventions lack a clear conceptualization of MS pain. This study explored the potential efficacy of a telephone-supported hybrid cognitive behavior therapy and acceptance and commitment therapy self-management intervention for pwMS based on an empirically supported model of MS pain using a replicated single-case series design.

METHODS

Seven pwMS with varied demographic and disease characteristics completed the 8-week home-based program alongside 3 hours of telephone support. Online questionnaires were completed every four days for 16 weeks (4-weeks baseline, 8-weeks treatment, 4-weeks follow-up). The primary outcomes were pain severity and pain interference. Psychological process variables drawn from the MS pain model were also completed, and post-treatment qualitative interviews conducted.

RESULTS

Simulation modeling analysis (SMA) showed three patients had large improvements in pain outcomes, two showed no change and two worsened. Five participants showed significant change on various psychological process variables. Change in pain catastrophizing was the most consistent finding.

CONCLUSIONS

The findings suggest a self-management program for MS pain with minimal therapy support may be effective for some pwMS, but not those with more complex comorbidities. The participants suggested web-based delivery may simplify the approach, and therapist telephone contact was highly valued. Implications for Rehabilitation This case series suggests a hybrid CBT/ACT self-management workbook program for MS pain improves severity and impact of pain in some pwMS. Pain-related catastrophizing reduced in most pwMS, whilst change in other ACT and CBT process variables varied across the individuals. PwMS feedback suggests a tailored web-based delivery of the program with therapist telephone support may be optimal. PwMS with serious co-morbid depression and very advanced disease may not respond well to this self-management approach.

Mobile Technology Use by People Experiencing Multiple Sclerosis Fatigue: Survey Methodology

Background

Fatigue is one of the most commonly reported symptoms of multiple sclerosis (MS). It has a profound impact on all spheres of life, for people with MS and their relatives. It is one of the key precipitants of early retirement. Individual, group, and Internet cognitive behavioral therapy–based approaches to supporting people with MS to manage their fatigue have been shown to be effective.

Objective

The aim of this project was to (1) survey the types of mobile devices and level of Internet access people with MS use or would consider using for a health intervention and (2) characterize the levels of fatigue severity and their impact experienced by the people in our sample to provide an estimate of fatigue severity of people with MS in New Zealand. The ultimate goal of this work was to support the future development of a mobile intervention for the management of fatigue for people with MS.

Methods

Survey methodology using an online questionnaire was used to assess people with MS. A total of 51 people with MS participated. The average age was 48.5 years, and the large majority of the sample (77%) was female.

Results

Participants reported significant levels of fatigue as measured with the summary score of the Neurological Fatigue Index (mean 31.4 [SD 5.3]). Most (84%) respondents scored on average more than 3 on the fatigue severity questions, reflecting significant fatigue. Mobile phone usage was high with 86% of respondents reporting having a mobile phone; apps were used by 75% of respondents. Most participants (92%) accessed the Internet from home.

Conclusions

New Zealand respondents with MS experienced high levels of both fatigue severity and fatigue impact. The majority of participants have a mobile device and access to the Internet. These findings, along with limited access to face-to-face cognitive behavioral therapy–based interventions, create an opportunity to develop a mobile technology platform for delivering a cognitive behavioral therapy–based intervention to decrease the severity and impact of fatigue in people with MS.

Effectiveness of cognitive behavioral therapy for the treatment of fatigue in patients with multiple sclerosis: A systematic review and meta-analysis

BACKGROUND

Fatigue is a frequently occurring symptom of multiple sclerosis (MS) that limits social participation.

OBJECTIVE

To systematically determine the short and long-term effects of cognitive behavioral therapy (CBT) for the treatment of MS-related fatigue.

DATA SOURCES

Pubmed, Cochrane, EMBASE, Psychology and Behavioral Sciences Collection, ERIC, PsychINFO, Cinahl, PsycARTICLES, and relevant trial registers were searched up to February 2016. In addition, references from retrieved articles were examined.

STUDY SELECTION

Studies were included if participants had MS, fatigue was a primary outcome measure, the intervention was CBT, and the design was a randomized controlled trial. The search was performed by two independent reviewers, three CBT experts determined whether interventions were CBT.

DATA EXTRACTION

Data on patient and study characteristics and fatigue were systematically extracted using a standardized data extraction form. Two independent reviewers assessed risk of bias using the Cochrane Collaboration risk of bias tool. In the event of disagreement, a third reviewer was consulted.

DATA SYNTHESIS

Of the 994 identified studies, 4 studies were included in the meta-analysis, comprising 193 CBT-treated patients and 210 patients who underwent a control treatment. Meta-analyses of these studies showed that CBT treatment had a positive short-term effect on fatigue (standardized mean difference [SMD]=-0.47; 95% confidence interval [CI]=-0.88; -0.06; I²=73%). In addition, three studies showed a long-term positive effect of CBT (SMD=-0.30; CI -0.51; -0.08; I²=0%).

CONCLUSIONS

This review found that the use of CBT for the treatment of fatigue in patients with MS has a moderately positive short-term effect. However, this effect decreases with cessation of treatment.

Enrolling and keeping participants in multiple sclerosis self-management interventions: a systematic review and meta-analysis

OBJECTIVES

The objectives were to provide an estimate of expected enrolment and attrition rates based on published studies of existing self-management interventions for people with multiple sclerosis, and to identify contributing factors and impact on outcomes.

REVIEW METHODS

A systematic literature search was conducted using Ovid MEDLINE, PsychINFO, EMBASE, AMED, CINAHL, OT Seeker, PubMed, and the Cochrane Database of Systematic Reviews databases. Controlled trials with or without randomization using either a between-group or within-person design were included if they met specified criteria. A random-effect meta-regression analysis was conducted to estimate the overall enrolment and attrition proportions, effect of person- and study-related factors, and impact on outcomes.

RESULTS

A total of 48 studies, comprising 4446 persons were identified. The estimated enrolment rate was 50.3% (95% confidence interval (CI): 49.6 to 51.1) and the estimated attrition rates in the intervention and control groups were 16.8% (95% CI: 16.2 to 17.3) and 14.4% (95% CI: 13.8 to 14.9), respectively. The main reported reason for refusing to participate was lack of interest (70.6%), while the reported reasons for dropping out were mainly owing to medical issues (26.1%) and disliking the intervention (17.9%). Trial, programme, and patient-related variables were found to influence the enrolment and/or attrition rates. Studies that had a 10% higher attrition rate had an effect size that was larger by 0.19 (95% CI: 0.17 to 0.24).

CONCLUSION

Greater understanding of the factors associated with enrolment and attrition rates would help in planning and developing a more appealing self-management intervention that patients can easily accept and incorporate into their everyday lives.

Influence of Medication on Fatigue Six Months after Stroke

Poststroke fatigue (PSF) is frequent and affects patients' quality of life. Medication use was hypothesized as being responsible for PSF. Our objective was to evaluate potential relationships between 6-month PSF and medication use at discharge and 6 months after an ischemic stroke. This study is part of STROKDEM, an ongoing longitudinal cohort study, whose main aim is to determine predictors of poststroke dementia. Patients were included within 72 hours after an ischemic stroke and followed up with standardized evaluations. Medication use 7 days and 6 months after stroke was rated, and polypharmacy was defined as the number of categories of treatments received by a patient. PSF was evaluated using the Chalder Fatigue Scale. Medical history, vascular risk factors, depression, anxiety, and sleep disturbances were evaluated. One hundred and fifty-three patients were included: 52.9% presented PSF. PSF at 6 months was not predicted by medication use at discharge nor associated with medication use at month 6. We found severity of PSF to be increased in patients with polypharmacy. Our results suggest that PSF is not a side effect of drugs use, which more reflects presence of disturbances frequently observed after stroke such as depression, anxiety, or sleep disturbances. Clinical study is registered on clinicaltrials.gov (NCT01330160).

Protocol for a pilot randomised controlled trial of an online intervention for post-treatment cancer survivors with persistent fatigue

INTRODUCTION

Many post-treatment cancer survivors experience persistent fatigue that can disrupt attempts to resume normal everyday activities after treatment. Theoretical models that aim to explain contributory factors that initiate and sustain fatigue symptoms, or that influence the efficacy of interventions for cancer-related fatigue (CrF) require testing. Adjustment to fatigue is likely to be influenced by coping behaviours that are guided by the representations of the symptom.

OBJECTIVES

This paper describes the protocol for a pilot trial of a systematically and theoretically designed online intervention to enable self-management of CrF after cancer treatment.

METHODS AND ANALYSIS

This 2-armed randomised controlled pilot trial will study the feasibility and potential effectiveness of an online intervention. Participants will be allocated to either the online intervention (REFRESH (Recovery from Cancer-Related Fatigue)), or a leaflet comparator.

PARTICIPANTS

80 post-treatment cancer survivors will be recruited for the study.

INTERVENTIONS

An 8-week online intervention based on cognitive-behavioural therapy.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome is a change in fatigue as measured by the Piper Fatigue Scale (revised). Quality of life will be measured using the Quality of Life in Adult Survivors of Cancer Scale. Outcome measures will be collected at baseline, and at completion of intervention.

RESULTS

The feasibility of trial procedures will be tested, as well as the effect of the intervention on the outcomes.

CONCLUSIONS

This study may lead to the development of a supportive resource to target representations and coping strategies of cancer survivors with CrF post-treatment.

SETTING

Recruitment from general public in Ireland.

ETHICS AND DISSEMINATION

This trial was approved by the Research Ethics Committee at National University of Ireland Galway in January 2013. Trial results will be communicated in a peer-reviewed journal.

TRIAL REGISTRATION NUMBER

ISRCTN55763085; Pre-results.

Evaluation of a Fatigue Self-Management Program for People with Multiple Sclerosis

BACKGROUND

Fatigue is one of the most common and debilitating symptoms of multiple sclerosis (MS). The program "Minimise Fatigue, Maximise Life: Creating Balance with Multiple Sclerosis" (MFML) was created in New Zealand because of the lack of a fatigue management program for people with MS in that country. This program aims to empower individuals with MS to manage their own symptoms of fatigue. The objective of this study was to evaluate the MFML fatigue self-management program.

METHODS

Self-report questionnaires were used to measure impact of fatigue (5-item Modified Fatigue Impact Scale), self-efficacy (MS Self-efficacy Scale), and quality of life (12-item Short Form Health Status Survey [SF-12]) 1 month before (T1), at commencement of (T2) (to investigate the stability of questionnaire scores before the intervention), and at the end of (T3) the 6-week group-based program. Increased self-efficacy and quality of life scores and a decrease in reported impact of fatigue were the anticipated primary outcomes, with participants acting as their own controls.

RESULTS

Twenty-five women (aged 37-63 years) participated. Stability of scores for all the questionnaires was evidenced between T1 and T2. After the intervention (T3), scores showed a significant improvement in self-efficacy and impact of fatigue, with large effect sizes, but no change in either the physical or mental component summary of the SF-12.

CONCLUSIONS

Despite the small sample size, this study showed an organized approach to the management of fatigue for people living with MS, and its outcomes demonstrated benefits for participants.