Literature DB >> 33579872

Global Perspective on Telemedicine for Parkinson's Disease.

Ali Shalash1, Meredith Spindler2, Esther Cubo3.   

Abstract

Telemedicine programs are particularly suited to evaluating patients with Parkinson's disease (PD) and other movement disorders, primarily because much of the physical exam findings are visual. Telemedicine uses information and communication technologies to overcome geographical barriers and increase access to healthcare service. It is particularly beneficial for rural and underserved communities, groups that traditionally suffer from lack of access to healthcare. There is a growing evidence of the feasibility of telemedicine, cost and time savings, patients' and physicians' satisfaction, and its outcome and impact on patients' morbidity and quality of life. In addition, given the unusual current situation with the COVID-19 pandemic, telemedicine has offered the opportunity to address the ongoing healthcare needs of patients with PD, to reduce in-person clinic visits, and human exposures (among healthcare workers and patients) to a range of infectious diseases including COVID-19. However, there are still several challenges to widespread implementation of telemedicine including the limited performance of parts of the neurological exam, limited technological savvy, fear of loss of a personal connection, or uneasiness about communicating sensitive information. On the other hand, while we are facing the new wave of COVID-19 pandemic, patients and clinicians are gaining increasing experience with telemedicine, facilitating equity of access to specialized multidisciplinary care for PD. This article summarizes and reviews the current state and future directions of telemedicine from a global perspective.

Entities:  

Keywords:  Parkinson’s disease; Telemedicine; movement disorders; telehealth

Mesh:

Year:  2021        PMID: 33579872     DOI: 10.3233/JPD-202411

Source DB:  PubMed          Journal:  J Parkinsons Dis        ISSN: 1877-7171            Impact factor:   5.568


  7 in total

1.  Machine Learning Classifiers to Evaluate Data From Gait Analysis With Depth Cameras in Patients With Parkinson's Disease.

Authors:  Beatriz Muñoz-Ospina; Daniela Alvarez-Garcia; Hugo Juan Camilo Clavijo-Moran; Jaime Andrés Valderrama-Chaparro; Melisa García-Peña; Carlos Alfonso Herrán; Christian Camilo Urcuqui; Andrés Navarro-Cadavid; Jorge Orozco
Journal:  Front Hum Neurosci       Date:  2022-05-19       Impact factor: 3.473

2.  The Impact of Telemedicine on Parkinson's Care during the COVID-19 Pandemic: An Italian Online Survey.

Authors:  Fabiana Ruggiero; Linda Lombi; Maria Takeko Molisso; Giorgio Fiore; Eleonora Zirone; Roberta Ferrucci; Elena Pirola; Marco Locatelli; Sergio Barbieri; Francesca Mameli
Journal:  Healthcare (Basel)       Date:  2022-06-08

3.  Current Status of Telemedicine for Parkinson's Disease in Japan: A Single-Center Cross-Sectional Questionnaire Survey.

Authors:  Mayuko Ogawa; Genko Oyama; Satoko Sekimoto; Taku Hatano; Nobutaka Hattori
Journal:  J Mov Disord       Date:  2021-12-24

4.  Telerehabilitation: A Practical Remote Alternative for Coaching and Monitoring Physical Kinetic Therapy in Patients with Mild and Moderate Disabling Parkinson's Disease during the COVID-19 Pandemic.

Authors:  Aurelian Anghelescu
Journal:  Parkinsons Dis       Date:  2022-08-08

5.  Telemedicine as an Untapped Opportunity for Parkinson's Nurses Training in Personalized Care Approaches.

Authors:  Marlena van Munster; Johanne Stümpel; Timo Clemens; Katarzyna Czabanowska; David J Pedrosa; Tiago A Mestre
Journal:  J Pers Med       Date:  2022-06-28

6.  Secondary Impact of COVID-19 Pandemic on People with Parkinson's Disease-Results of a Polish Online Survey.

Authors:  Karolina Krzysztoń; Beata Mielańczuk-Lubecka; Jakub Stolarski; Anna Poznańska; Katarzyna Kępczyńska; Agata Zdrowowicz; Izabela Domitrz; Jan Kochanowski
Journal:  Brain Sci       Date:  2021-12-26

7.  Impact of the COVID-19 Pandemic on Patients with Parkinson's Disease from the Perspective of Treating Physicians-A Nationwide Cross-Sectional Study.

Authors:  Andreas Wolfgang Wolff; Bernhard Haller; Antonia Franziska Demleitner; Erica Westenberg; Paul Lingor
Journal:  Brain Sci       Date:  2022-03-05
  7 in total

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