Title |
The Promise of Telemedicine for Movement Disorders: an Interdisciplinary Approach
|
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Published in |
Current Neurology and Neuroscience Reports, April 2018
|
DOI | 10.1007/s11910-018-0834-6 |
Pubmed ID | |
Authors |
H. Ben-Pazi, P. Browne, P. Chan, E. Cubo, M. Guttman, A. Hassan, J. Hatcher-Martin, Z. Mari, E. Moukheiber, N. U. Okubadejo, A. Shalash, the International Parkinson and Movement Disorder Society Telemedicine Task Force |
Abstract |
Advances in technology have expanded telemedicine opportunities covering medical practice, research, and education. This is of particular importance in movement disorders (MDs), where the combination of disease progression, mobility limitations, and the sparse distribution of MD specialists increase the difficulty to access. In this review, we discuss the prospects, challenges, and strategies for telemedicine in MDs. Telemedicine for MDs has been mainly evaluated in Parkinson's disease (PD) and compared to in-office care is cost-effective with similar clinical care, despite the barriers to engagement. However, particular groups including pediatric patients, rare MDs, and the use of telemedicine in underserved areas need further research. Interdisciplinary telemedicine and tele-education for MDs are feasible, provide similar care, and reduce travel costs and travel time compared to in-person visits. These benefits have been mainly demonstrated for PD but serve as a model for further validation in other movement disorders. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 4 | 29% |
Ireland | 1 | 7% |
Netherlands | 1 | 7% |
United Kingdom | 1 | 7% |
Uganda | 1 | 7% |
Austria | 1 | 7% |
Unknown | 5 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 71% |
Practitioners (doctors, other healthcare professionals) | 2 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Scientists | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 167 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 14% |
Student > Bachelor | 20 | 12% |
Student > Postgraduate | 12 | 7% |
Student > Master | 10 | 6% |
Professor | 10 | 6% |
Other | 37 | 22% |
Unknown | 55 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 33 | 20% |
Neuroscience | 19 | 11% |
Nursing and Health Professions | 12 | 7% |
Engineering | 6 | 4% |
Computer Science | 6 | 4% |
Other | 29 | 17% |
Unknown | 62 | 37% |