Psychological flexibility, distress, and quality of life in secondary progressive multiple sclerosis: A cross-sectional study.

INTRODUCTION: One of the strongest predictors of successful coping in multiple sclerosis (MS) is the extent to which one can accept the diagnosis and limitations associated with the disease. Acceptance is also one of three core processes of psychological flexibility - a malleable treatment target of some psychological therapies. This is the ability to notice and accept the presence of thoughts and feelings without being swept along by them, engaging in the present moment, and making decisions in line with personal values. Poor psychological flexibility is associated with elevated levels of distress in the general population. However, we do not know the level of psychological flexibility in people with MS, or its relationship to distress or quality of life when the disease becomes more physically disabling. The aims of this study were to determine the level of psychological flexibility, and its relationship with distress and quality of life in secondary progressive multiple sclerosis (SPMS), a subtype of MS with increased severity of disability and distress. METHOD: This cross-sectional analytic study used data collected by the UK MS Register. Pre-existing data on distress, quality of life, disability, and demographics collected by the UK MS Register were combined with a psychological flexibility measure and its component parts, collected for the purpose of this study. Patient demographics and questionnaire data were recorded for distress, quality of life, and psychological flexibility. Pearson's correlations were used to examine bivariate relationships between distress, quality of life, disability and psychological flexibility. Whether psychological flexibility moderated the relationship between disability (predictor), distress and quality of life (outcomes) was also investigated. RESULTS: Between February and March 2020, 628 participants with SPMS completed the CompACT and had a recent (<12 months) HADS questionnaire (Mage = 60.66, 70.90% women). On the HADS questionnaire subscales, 44% of the sample scored above the MS clinical cut-off (≥8) for anxiety (M = 7.09, SD = 4.57), and 30% above the clinical cut off (≥11) for depression (M = 8.35, SD = 4.21). Psychological flexibility (M = 81.94, SD = 22.60) and its components were each moderately negatively correlated with total distress (r = -0.65), anxiety (r = -0.58), and depression (r = -0.56). A second subsample (n = 434) completed the EQ-5D-5L health-related quality of life measure, which was moderately positively correlated with psychological flexibility (r = 0.47). A third subsample (n = 210) found a weak negative relationship between psychological flexibility and disability (r = -0.16), a weak positive relationship between distress and disability (r = 0.26), and a moderate negative relationship between quality of life and disability (r = -0.56). Psychological flexibility was not found to moderate the relationships between disability and anxiety, depression, or quality of life in SPMS. DISCUSSION: Greater psychological flexibility was associated with lower self-reported distress and higher quality of life in this SPMS sample. It was not shown to moderate the extent to which physical disability predicts distress or quality of life in SPMS. These findings demonstrate that greater psychological flexibility is related to better coping outcomes (lower distress, higher quality of life) in SPMS. If psychological flexibility can be increased in people with SPMS, this could lead to a reduction in distress and improvement in quality of life, although directionality could not be attributed with these methods. Further longitudinal evidence and trials of psychological flexibility-focussed interventions are needed.

Can We Improve the Monitoring of People With Multiple Sclerosis Using Simple Tools, Data Sharing, and Patient Engagement?

Technological innovation is transforming traditional clinical practice, enabling people with multiple sclerosis (pwMS) to contribute health care outcome data remotely between clinic visits. In both relapsing and progressive forms of multiple sclerosis (MS), patients may experience variable disability accrual and symptoms throughout their disease course. The potential impact on the quality of life (QoL) in pwMS and their families and carers is profound. The introduction of treatment targets, such as NEDA (no evidence of disease activity) and NEPAD (no evidence of progression or active disease), that guide clinical decision-making, highlight the importance of utilizing sensitive instruments to measure and track disease activity and progression. However, the gold standard neurological disability tool-expanded disability severity scale (EDSS)-has universally recognized limitations. With strides made in our understanding of MS pathophysiology and DMT responsiveness, maintaining the status quo of measuring disability progression is no longer the recommended option. Outside the clinical trial setting, a comprehensive monitoring system has not been robustly established for pwMS. A 21st-century approach is required to integrate clinical, paraclinical, and patient-reported outcome (PRO) data from electronic health records, local databases, and patient registries. Patient and public involvement (PPI) is critical in the design and implementation of this workflow. To take full advantage of the potential of digital technology in the monitoring and care and QoL of pwMS will require iterative feedback between pwMS, health care professionals (HCPs), scientists, and digital experts.

How to refer to people with disease in research outputs: The disconnection between academic practise and that preferred by people with multiple sclerosis.

BACKGROUND: Increasingly, Government and Charity funders require public engagement in research. Invariably these research outputs describe the condition of someone with the disease of interest. We therefore sought to identify the preferred descriptor of someone with a disease, such as multiple sclerosis (MS) and to determine what descriptors are currently used by academics. METHODS: Several surveys were undertaken: one from the Research Network of the MS Society (MSSRN), a major MS Charity within the United Kingdom, who are involved in reviewing grant applications, priority setting and research governance (n=146), and surveys from both the United Kingdom MS register (MSR; n=1713) and the North American Research Committee on Multiple Sclerosis (NARCOMS) registry (n=518). People were asked to rate descriptors of someone affected with MS. These were compared to that used by academic experimenters in basic science and clinical science research papers. RESULTS: Although the frequency of responses varied between surveys the overall findings showed many consistencies. This included use of person/people with MS (pwMS) as the preferred descriptor for someone with MS for social media and scientific publications. This was the preferred choice in about 55-60% people from the MRS and in over 70% in the NARCOMS and the MSSRN, respectively. Although MSer was the second preferred-choice for use in social media, there was as a large range of preferences from the 'most-preferred' to the 'most-disliked.' This reflected an earlier survey by UK-based research blogs using the term MSer (n=173). In contrast, pwMS had few 'dislikes' and results were skewed towards the 'liked' and 'most-preferred' choices. Client and sufferer were generally disliked terms, although there was some regional variation in levels of choice. Patient was generally seen as a neutral term that was neither strongly liked nor disliked. However, patient gained more public support for use within scientific publications (~20-25%) compared to social media (~10-15%). This descriptor was however most commonly used (98-99%) within both pre-clinical (searched in 6-month output of preclinical autoimmune MS models; n=161) and in clinical publications (specialist MS journals; n=220), whereas pwMS was not reported in over 75% of papers published in some specialised MS journals, and did not appear in the pre-clinical animal studies examined. CONCLUSION: There is a clear disconnection between preferences by individuals living with MS and current academic practise. As pwMS are increasingly reading primary research publications and are involved in patient and public involvement in research and grant review activities, the sensitivities of lay readers should be considered when writing research outputs. This issue may affect other diseases and a change in writing style could be adopted to show that we respect the wishes of the people that we study and wish to help.

Sunshine, Sea, and Season of Birth: MS Incidence in Wales.

Maternal sun exposure in gestation and throughout the lifetime is necessary for vitamin D synthesis, and living near the sea is a population level index of seafood consumption. The aim of this study was to estimate the incidence rate of multiple sclerosis (MS) in Wales and examine its association with sun exposure, coastal living, and latitude. The study used a database of MS hospital visits and admissions in Wales between 2002 and 2013. For the 1,909 lower layer super output areas (LSOAs) in Wales, coastal status, population, longitude/latitude, and average sunshine hours per day were obtained. Age-specific and age-standardised MS incidence were calculated and modelled using Poisson regression. The distribution of births by month was compared between MS cases and the combined England and Wales population. There were 3,557 new MS cases between 2002 and 2013, with an average annual incidence of 8.14 (95% CI: 7.69-8.59) among males and 12.97 (95% CI: 12.44-13.50) among females per 100,000 population. The female-to-male ratio was 1.86:1. For both sexes combined, the average annual incidence rate was 9.10 (95% CI: 8.80-9.40). All figures are age-standardized to the 1976 European standard population. Compared to the combined England and Wales population, more people with MS were born in April, observed-to-expected ratio: 1.21 (95% CI: 1.08-1.36). MS incidence varied directly with latitude and inversely with sunshine hours. Proximity to the coast was associated with lower MS incidence only in easterly areas. This study shows that MS incidence rate in Wales is comparable to the rate in Scotland and is associated with environmental factors that probably represent levels of vitamin D.

Physical disability, anxiety and depression in people with MS: an internet-based survey via the UK MS Register.

INTRODUCTION: People with Multiple Sclerosis are known to have a relatively high prevalence of both anxiety and depression. Studies of the relationship between physical disability and mental health in people with MS have reported mixed results, showing the need for further work. METHODS: Between May 2011 and April 2012, 4516 people completed the MSIS-29 (v.1) and HADS scales via the dedicated internet site of the UK MS Register within a 7 day time window. These responses were linked with basic demographic and descriptive data and analysed in SPSS (v.20). RESULTS: The proportions of people experiencing anxiety or depression increased with physical disability such that 38.0% of respondents with low, and 66.7% with high disability reported at least mild anxiety, and 17.1% of people with low, and 71.7% with high disability experienced at least mild depression. The multiple regression model explained 18.4% of the variance in anxiety with MSIS-29-PHYS score being the strongest predictor of anxiety. The model for depression explained 37.8% of the variance with MSIS-29-PHYS score being the strongest predictor. Some of the other variables included showed negative associations with anxiety and depression, indicating that the influence of physical disability on mental wellbeing could be underestimated. CONCLUSIONS: This study indicates that there is a positive relationship between physical disability and anxiety and depression, that physical disability impacts on anxiety and depression to differing extents, and that the effects vary with gender, age, disease course and disease duration. We have shown that physical disability is a predictor of anxiety and depression, and that other factors may mask the extent of this effect. Whether the causes of anxiety and depression are reactive, organic or a combination, it is essential that mental wellbeing is given due attention in caring for people with MS so that all their health needs can be met.