ArticleJMIR mHealth and uHealth2017
Mobile Technology Use by People Experiencing Multiple Sclerosis Fatigue: Survey Methodology.
Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 29 citations in OpenAlex.
- An Exploratory Study on the Utility of Patient-Generated Health Data as a Tool for Health Care Professionals in Multiple Sclerosis Care.Methods of information in medicine · 2023Article
- Medication self-management toolkits for adults with multiple sclerosis: A scoping review.Exploratory research in clinical and social pharmacy · 2023Article
- Usability and acceptability of a cognitive training intervention (SMART) for people with multiple sclerosis (MS): A prefeasibility formative evaluation.NIHR open research · 2022Article
- Creating a Digital Toolkit to Reduce Fatigue and Promote Quality of Life in Multiple Sclerosis: Participatory Design and Usability Study.JMIR formative research · 2021Article
- Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review.JAMIA open · 2021Review
- Digital Technology in Clinical Trials for Multiple Sclerosis: Systematic Review.Journal of clinical medicine · 2021Review
- Usability of a Mobile App for Real-Time Assessment of Fatigue and Related Symptoms in Patients With Multiple Sclerosis: Observational Study.JMIR mHealth and uHealth · 2021Observational
- Design considerations for a multiple sclerosis fatigue mobile app MS Energize: A pragmatic iterative approach using usability testing and resonance checks.Internet interventions · 2021Article
- A Smartphone-based Application for Self-Management in Multiple Sclerosis.Journal of healthcare engineering · 2021Article
- 'It struck at the heart of who I thought I was': A meta-synthesis of the qualitative literature examining the experiences of people with multiple sclerosis.Health expectations : an international journal of public participation in health care and health policy · 2020Review
- MS Energize: Field trial of an app for self-management of fatigue for people with multiple sclerosis.Internet interventions · 2019Article
- 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.JMIR formative research · 2019Article
- Investigating the Effect of Paid and Free Feedback About Physicians' Telemedicine Services on Patients' and Physicians' Behaviors: Panel Data Analysis.Journal of medical Internet research · 2019Article
- Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study.JMIR formative research · 2018Article
- Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFatigue 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.
objectiveThe 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.
methodsSurvey 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.
resultsParticipants 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.
conclusionsNew 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.
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