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Featured researches published by J. Gareth Noble.


PLOS ONE | 2012

A Large-Scale Study of Anxiety and Depression in People with Multiple Sclerosis: A Survey via the Web Portal of the UK MS Register

Kerina H. Jones; David V. Ford; Philip A. Jones; Ann John; Rodden M. Middleton; Hazel M. Lockhart-Jones; Lisa A. Osborne; J. Gareth Noble

Introduction Studies have found that people with Multiple Sclerosis experience relatively high rates of anxiety and depression. Although methodologically robust, many of these studies had access to only modest sample sizes (N<200). The aims of this study were to use responses gained via the web portal of the UK MS Register (N>4000) to: describe the depression and anxiety profiles of people with MS; to determine if anxiety and depression are related to age or disease duration; and to assess whether the levels of anxiety and depression differ between genders and types of MS. Methods From its launch in May 2011 to the end of December 2011, 7786 adults with MS enrolled to take part in the UK MS Register via the web portal. The responses to the Hospital Anxiety and Depression Scale (HADS) were collated with basic demographic and descriptive MS data provided at registration and the resulting dataset was analysed in SPSS (v.16). Results The mean HADS score among the 4178 respondents was 15.7 (SE 0.117, SD 7.55) with a median of 15.0 (IQR 11). Anxiety and depression rates were notably high, with over half (54.1%) scoring ≥8 for anxiety and 46.9% scoring ≥8 for depression. Women with relapsing-remitting MS were more anxious than men with this type (p<0.001), and than women with other types of MS (p = 0.017). Within each gender, men and women with secondary progressive MS were more depressed than men or women with other types of MS (p<0.001, p<0.001). Conclusions This largest known study of its kind has shown that anxiety and depression are highly prevalent in people with MS, indicating that their mental health needs could be better addressed. These findings support service planning and further research to provide the best care for people with MS to help alleviate these debilitating conditions.


BMC Medical Informatics and Decision Making | 2012

The feasibility of collecting information from people with Multiple Sclerosis for the UK MS Register via a web portal: characterising a cohort of people with MS

David V. Ford; Kerina H. Jones; Rod Middleton; Hazel M. Lockhart-Jones; Inocencio Maramba; J. Gareth Noble; Lisa A. Osborne; Ronan Lyons

BackgroundA UK Register of people with Multiple Sclerosis has been developed to address the need for an increased knowledge-base about MS. The Register is being populated via: a web-based portal; NHS neurology clinical systems; and administrative data sources. The data are de-identified and linked at the individual level. At the outset, it was not known whether people with MS would wish to participate in the UK MS Register by personally contributing their data to the Register via a web-based system. Therefore, the research aim of this work was to build an internet-mounted recruitment and consenting technology for people with Multiple Sclerosis, and to assess its feasibility as a questionnaire delivery platform to contribute data to the UK MS Register, by determining whether the information provided could be used to describe a cohort of people with MS.MethodsThe web portal was developed using VB.net and JQuery with a Microsoft SQL 2008 database. UK adults with MS can self-register and enter data about themselves by completing validated questionnaires. Descriptive statistics were used to characterise the respondents.ResultsThe web portal was launched in May 2011, and in first three months 7,279 individuals registered on the portal. The ratio of men to women was 1:2.4 (n = 5,899), the mean self-reported age at first symptoms was 33.8 (SD 10.5) years, and at diagnosis 39.6 (SD 10.3) years (n = 4,401). The reported types of MS were: 15% primary progressive, 63% relapsing-remitting, 8% secondary progressive, and 14% unknown (n = 5,400). These characteristics are similar to those of the prevalent MS population. Employment rates, sickness/disability rates, ethnicity and educational qualifications were compared with the general UK population. Information about the respondents’ experience of early symptoms and the process of diagnosis, plus living arrangements are also reported.ConclusionsThese initial findings from the MS Register portal demonstrate the feasibility of collecting data about people with MS via a web platform, and show that sufficient information can be gathered to characterise a cohort of people with MS. The innovative design of the UK MS register, bringing together three disparate sources of data, is creating a rich resource for research into this condition.


PLOS ONE | 2013

How People with Multiple Sclerosis Rate Their Quality of Life: An EQ-5D Survey via the UK MS Register

Kerina H. Jones; David V. Ford; Philip A. Jones; Ann John; Rodden M. Middleton; Hazel M. Lockhart-Jones; Jeffrey Peng; Lisa A. Osborne; J. Gareth Noble

Introduction The EQ-5D is a widely-used, standardised, quality of life measure producing health profiles, indices and states. The aims of this study were to assess the role of various factors in how people with Multiple Sclerosis rate their quality of life, based on responses to the EQ-5D received via the web portal of the UK MS Register. Methods The 4516 responses to the EQ-5D (between May 2011 and April 2012) were collated with basic demographic and descriptive MS data and the resulting dataset was analysed in SPSS (v.20). Results The mean health state for people with MS was 59.73 (SD 22.4, median 61), compared to the UK population mean of 82.48 (which is approximately 1SD above the cohort mean). The characteristics of respondents with high health states (at or above +1SD) were: better health profiles (most predictive dimension: Usual Activities), higher health indices, younger age, shorter durations of MS, female gender, relapsing-remitting MS, higher educational attainment and being in paid employment (all p-values<0.001). Conversely, the characteristics of respondents with low health states (at or below -1SD) were: poorer health profiles (most predictive dimension: Mobility), lower health indices, older age, longer durations of MS, male gender, progressive MS, lower educational attainment and having an employment status of sick/disabled (p = 0.0014 for age, all other p-values<0.001). Particular living arrangements were not associated with either the high or low health status groups. Conclusions This large-scale study has enabled in-depth analyses on how people with MS rate their quality of life, and it provides new knowledge on the various factors that contribute to their self-assessed health status. These findings demonstrate the impact of MS on quality of life, and they can be used to inform care provision and further research, to work towards enhancing the quality of life of people with MS.


PLOS ONE | 2014

Physical Disability, Anxiety and Depression in People with MS: An Internet-Based Survey via the UK MS Register

Kerina H. Jones; Philip A. Jones; Rodden M. Middleton; David V. Ford; Katie Tuite-Dalton; Hazel M. Lockhart-Jones; Jeffrey Peng; Ronan Lyons; Ann John; J. Gareth Noble

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.


PLOS ONE | 2013

The Physical and Psychological Impact of Multiple Sclerosis Using the MSIS-29 via the Web Portal of the UK MS Register

Kerina H. Jones; David V. Ford; Philip A. Jones; Ann John; Rodden M. Middleton; Hazel M. Lockhart-Jones; Jeffrey Peng; Lisa A. Osborne; J. Gareth Noble

Introduction The MSIS-29 was developed to assess the physical and psychological impact of MS. The aims of this study were to use the responses to the MSIS-29 via the web portal of the UK MS Register to: examine the internal properties of the scale delivered via the internet, profile the cohort, and assess how well the scale measures impact of disability on the potential workforce. Methods Between May 2011 and April 2012, 4558 people with MS completed the MSIS-29(v.1). The responses were collated with basic demographic and descriptive MS data and the resulting dataset was analysed in SPSS(v.20). Results Internal consistency was high (Cronbachs alpha 0.97 MSIS-29-PHYS, 0.92 MSIS-29-PSYCH). The mean MSIS-29-PHYS score was 60.5 (50.6%) with a median of 62 and the mean MSIS-29-PSYCH score was 24.8 (43.8%) with a median of 24. Physical scores increased with age and disease duration (p<0.001, p<0.001), but there was a weak negative relationship between psychological scores and age (p<0.001). The odds of people having an employment status of sick/disabled were 7.2 (CI 5.5, 9.4, p<0.001) for people with a moderate physical score, and 22.3 (CI 17.0, 29.3, p<0.001) for people with a high physical score (relative to having a low physical score). Conclusions This largest known study of its kind has demonstrated how the MSIS-29 can be administered via the internet to characterise a cohort, and to predict the likely impact of disability on taking an active part in the workforce, as a reasonable proxy for the effects of MS on general activities. The findings examining MSIS-29-PHYS and MSIS-29-PSYCH scores against age support the use of two sub-scales, not a combined score. These results underline the importance of using a scale such as this to monitor disability levels regularly in guiding MS care to enable people to be as active as possible.


Multiple Sclerosis Journal | 2012

Commentary on 'disability outcome measures in multiple sclerosis clinical trials'.

J. Gareth Noble; Lisa A. Osborne; Kerina H. Jones; Rod Middleton; David V. Ford

In order to fully understand and explore the effectiveness of any intervention for the management of multiple sclerosis (MS), it is important to have robust, valid, reliable, and universally applied measures. The recent article, ‘Disability outcome measures in multiple sclerosis clinical trials’ by Cohen, Reingold, Polman and Wolinsky (2012), explores this issue in regards to the effective measurement of MS-related disability, and the utilisation of patient-reported outcome measures, whilst highlighting the need for collaboration between the academic and clinical communities. Although it is important to examine disability measures, it is also equally important to recognise that physical function is only one aspect of a person’s experience; for example, quality of life and psychological well-being are also important aspects to assess. The application of e-health technologies and patient registers could be a useful method of gaining additional information, using patient-reported outcomes. This commentary explores these issues in relation to points raised by the Cohen et al. paper.


Chronic Illness | 2012

Changes in the key areas of quality of life associated with age and time since diagnosis of long-term conditions.

Lisa A. Osborne; Neil Bindemann; J. Gareth Noble; Phil Reed

This study examined whether quality of life areas, that were considered to be important by people with long-term and chronic conditions, altered as a function of their age (‘maturational’) and time since diagnosis (‘adaptational’). Seventy-one individuals from two age groups (31–40 and 41–50 years), who had been diagnosed for different lengths of time (<1 year and 10–20 years), creating four groups, were asked to say what quality of life meant to them, and the results were qualitatively analysed. The key theme in determining the quality of life across the entire sample was ‘independence and normality’ in the participants’ lives. However, the other key themes differed across the groups, suggesting that both ‘maturation’ and ‘adaptation’ play a role in determining the key areas that people consider, relating to their quality of life. The younger newly diagnosed group made more mention of ‘involvement’ than the other three groups, all of which mentioned different forms of wellbeing (social-emotional, physical and psychological) as the second most important aspect of their quality of life. These findings have implications for the assessment of quality of life.


Physical Therapy Reviews | 2014

Outcome measures for multiple sclerosis

Lisa A. Osborne; J. Gareth Noble; Inocencio Maramba; Kerina H. Jones; Rodden M. Middleton; Ronan Lyons; David V. Ford; Phil Reed

Abstract Background: This review determined the most commonly used, and reliable, measures for assessing clinical outcomes for multiple sclerosis (MS). Objectives: It was anticipated that this would facilitate the development of a common set of metrics, and aid reaching a consensus regarding the outcome measures that are typically used in the field of MS clinical research. Major findings: A thorough literature review of clinical outcome measures for MS produced 166 measures that have been used in this context. This list was then refined by discussion with a panel of consultant neurologists, which reduced the list to 23 commonly employed tools. This shortlist was then further refined through surveying 41 centres for MS treatment, which reduced the shortlist to 16 measures. The properties of these scales, in terms of their symptom/function domains, their specificity for MS, their administration characteristics, and their reliability and validity for MS, are all discussed. Conclusions: Conclusions regarding the development of potential sets of assessment measures for MS, which encompass broad symptom/function domains, and which are sensitive to the practical requirements of administration within clinical contexts, are explored.


International Journal of Healthcare Information Systems and Informatics | 2013

Identifying and Addressing the Barriers to the Use of an Internet-Register for Multiple Sclerosis

Lisa A. Osborne; Hazel M. Lockhart-Jones; Rodden M. Middleton; Simon Thompson; Inocencio Maramba; Kerina H. Jones; David V. Ford; J. Gareth Noble

Given the potential of health internet-registers, this study examined how such registers can be made more effective and efficient. This involved investigating the actual barriers to usage experienced by those for whom such registers are established to help. To elicit responses regarding the opinions, views, and experiences of participants, concerning their various reasons for non-progression or non-completion of the pilot UK MS Register, a list of ten potential key areas of difficulty, in the form of short statements, was e-mailed to participants. A content analysis revealed that there were four main areas of concern that could represent potential barriers for health internet-registers, in general, and that need to be considered when establishing, designing, and developing such registers: technical aspects of using the internet; computer literacy and ability, encompassing website design, clarity, and user-friendliness; symptom mismatches with register content; and condition-specific effects and impacts as barriers to internet-register use.


International Journal of Healthcare Information Systems and Informatics | 2012

Sources of Discovery, Reasons for Registration, and Expectations of an Internet-Based Register for Multiple Sclerosis: Visualisations and Explorations of Word Uses and Contexts

Lisa A. Osborne; J. Gareth Noble; Hazel M. Lockhart-Jones; Rodden M. Middleton; Simon Thompson; Inocencio Maramba; Kerina H. Jones; David V. Ford

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