Engaging across dimensions of diversity: A cross-national perspective on mHealth tools for managing relapsing remitting and progressive multiple sclerosis.

[1]  T. Wykes,et al.  Barriers to and Facilitators of Engagement With Remote Measurement Technology for Managing Health: Systematic Review and Content Analysis of Findings , 2018, Journal of medical Internet research.

[2]  M. Kehoe,et al.  A questionnaire study to explore the views of people with multiple sclerosis of using smartphone technology for health care purposes , 2018, Disability and rehabilitation.

[3]  Guido Giunti,et al.  Exploring the Specific Needs of Persons with Multiple Sclerosis for mHealth Solutions for Physical Activity: Mixed-Methods Study , 2018, JMIR mHealth and uHealth.

[4]  Stephen D. Patek,et al.  Remotely engaged: Lessons from remote monitoring in multiple sclerosis , 2017, Int. J. Medical Informatics.

[5]  Wolff Schlotz,et al.  Tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights , 2017, Journal of Behavioral Medicine.

[6]  McKenzie Bedra,et al.  Monitoring medication adherence in multiple sclerosis using a novel web-based tool: A pilot study , 2016, Journal of telemedicine and telecare.

[7]  Mark Christopher Shaw,et al.  The Ethical Implications of Personal Health Monitoring , 2014, Int. J. Technoethics.

[8]  A. Giordano,et al.  Information provision for people with multiple sclerosis. , 2014, The Cochrane database of systematic reviews.

[9]  D. Lupton The digitally engaged patient: Self-monitoring and self-care in the digital health era , 2013 .

[10]  K. Courtney,et al.  Obtrusiveness of information-based assistive technologies as perceived by older adults in residential care facilities: A secondary analysis , 2007, Medical informatics and the Internet in medicine.

[11]  Ankica Babic,et al.  User Evaluation of a Multiple Sclerosis Self-Management Mobile Application , 2018, ICIMTH.

[12]  Cecilia Pettersson,et al.  The Use of Apps for Health in Persons with Multiple Sclerosis, Parkinson's Disease and Stroke - Barriers and Facilitators , 2017, AAATE Conf..

[13]  A. Mendez Zorrilla,et al.  Technological solution for determining gait parameters using pressure sensors: a case study of multiple sclerosis patients. , 2014, Bio-medical materials and engineering.

[14]  Ya-Huei Wu,et al.  Designing robots for the elderly: appearance issue and beyond. , 2012, Archives of gerontology and geriatrics.

[15]  F. Bethoux,et al.  Evaluating walking in patients with multiple sclerosis: which assessment tools are useful in clinical practice? , 2011, International journal of MS care.

[16]  M. Scherer,et al.  Assistive Technology Use and Stigma , 2004 .