Dataset Information

Fall prevalence in people with multiple sclerosis who use wheelchairs and scooters.

ABSTRACT: Falls are a serious health concern for persons with multiple sclerosis (PwMS) who use wheelchairs or scooters as their primary mode of mobility. Unfortunately, little is known about the fall prevalence and characteristics of this large segment of the multiple sclerosis (MS) community. The purpose of this study is to determine the prevalence and circumstances of falls in wheelchair and scooter users living with MS. Forty-four PwMS were recruited from research and medical centers in the United States and Asia. Participants completed a survey focusing on prevalence of falls, frequency of injurious falls, circumstances of the fall, and various quality of life indicators. A total of 44 individuals (32 females/11 males/1 not reported) aged 27 to 82 years (mean?=?58 yrs) completed the survey. Seventy-five percent (n?=?33) reported falling at least once in 6 months and 48% (n?=?12) of those that fell sustained an injury. The majority (87.5%) of the falls occurred inside the home. Most individuals (76.7%; n?=?33) reported concerns about falling and 65.9% (n?=?29) limited their activities because of their concern of falling. Falls are prevalent in wheelchair and scooter users with MS. The observations highlight the need for interventions targeting this segment of the MS community.

SUBMITTER: Rice L

PROVIDER: S-EPMC5585490 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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Fall prevalence in people with multiple sclerosis who use wheelchairs and scooters.

Rice Laura L Kalron Alon A Berkowitz Shani H SH Backus Deborah D Sosnoff Jacob J JJ

Medicine 20170901 35

Falls are a serious health concern for persons with multiple sclerosis (PwMS) who use wheelchairs or scooters as their primary mode of mobility. Unfortunately, little is known about the fall prevalence and characteristics of this large segment of the multiple sclerosis (MS) community. The purpose of this study is to determine the prevalence and circumstances of falls in wheelchair and scooter users living with MS. Forty-four PwMS were recruited from research and medical centers in the United Sta ...[more]

PMID: 28858096

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Project description:BackgroundMultiple sclerosis (MS) is a chronic, neurodegenerative disease that causes a range of motor, sensory, and cognitive symptoms. Due to these symptoms, people with MS are at a high risk for falls, fall-related injuries, and reductions in quality of life. There is no cure for MS, and managing symptoms and disease progression is important to maintain a high quality of life. Mobile health (mHealth) apps are commonly used by people with MS to help manage their health. However, there are limited health apps for people with MS designed to evaluate fall risk. A fall risk app can increase access to fall risk assessments and improve self-management. When designing mHealth apps, a user-centered approach is critical for improving use and adoption.ObjectiveThe purpose of this study is to undergo a user-centered approach to test and refine the usability of the app through an iterative design process.MethodsThe fall risk app Steady-MS is an extension of Steady, a fall risk app for older adults. Steady-MS consists of 2 components: a 25-item questionnaire about demographics and MS symptoms and 5 standing balance tasks. Data from the questionnaire and balance tasks were inputted into an algorithm to compute a fall risk score. Two iterations of semistructured interviews (n=5 participants per iteration) were performed to evaluate usability. People with MS used Steady-MS on a smartphone, thinking out loud. Interviews were recorded, transcribed, and developed into codes and themes. People with MS also completed the System Usability Scale.ResultsA total of 3 themes were identified: intuitive navigation, efficiency of use, and perceived value. Overall, the participants found Steady-MS efficient to use and useful to learn their fall risk score. There were challenges related to cognitive overload during the balance tasks. Modifications were made, and after the second iteration, people with MS reported that the app was intuitive and efficient. Average System Usability Scale scores were 95.5 in both iterations, representing excellent usability.ConclusionsSteady-MS is the first mHealth app for people with MS to assess their overall risk of falling and is usable by a subset of people with MS. People with MS found Steady-MS to be usable and useful for understanding their risk of falling. When developing future mHealth apps for people with MS, it is important to prevent cognitive overload through simple and clear instructions and present scores that are understood and interpreted correctly through visuals and text. These findings underscore the importance of user-centered design and provide a foundation for the future development of tools to assess and prevent scalable falls for people with MS. Future steps include understanding the validity of the fall risk algorithm and evaluating the clinical utility of the app.

Project description:Sleep problems are common in people with multiple sclerosis (MS). Reported prevalence rates of sleep-disordered breathing (SDB) vary between 0 and 87%. Differences in recruitment procedures and study designs likely contribute to the wide variance in reported prevalence rates of SBD in MS. This can make attempts to compare SDB rates in people with MS to the general population challenging. Little is known about the pathophysiological mechanisms that contribute to SDB in people with MS or whether MS contributes to SDB disease progression. However, compared to the general obstructive sleep apnea (OSA) population, there are clear differences in the clinical phenotypes of SDB in the MS population. For instance they are typically not obese and rates of SDB are often comparable or higher to the general population, despite the high female predominance of MS. Thus, the risk factors and pathophysiological causes of SDB in people with MS are likely to be different compared to people with OSA who do not have MS. There may be important bidirectional relationships between SDB and MS. Demyelinating lesions of MS in the brain stem and spinal cord could influence breathing control and upper airway muscle activity to cause SDB. Intermittent hypoxia caused by apneas during the night can increase oxidative stress and may worsen neurodegeneration in people with MS. In addition, inflammation and changes in cytokine levels may play a key role in the relationship between SDB and MS and their shared consequences. Indeed, fatigue, neurocognitive dysfunction, and depression may worsen considerably if both disorders coexist. Recent studies indicate that treatment of SDB in people with MS with conventional first-line therapy, continuous positive airway pressure therapy, can reduce fatigue and cognitive impairment. However, if the causes of SDB differ in people with MS, so too may the optimal therapy. Thus, many questions remain concerning the relationship between these two disorders and the underlying mechanisms and shared consequences. Improved understanding of these factors has the potential to unlock new therapeutic targets.

Dataset Information

Fall prevalence in people with multiple sclerosis who use wheelchairs and scooters.

Publications

Fall prevalence in people with multiple sclerosis who use wheelchairs and scooters.

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