Literature DB >> 18512751

Evaluating Parkinson's disease patients at home: utility of self-videotaping for objective motor, dyskinesia, and ON-OFF assessments.

Christopher G Goetz1, Sue Leurgans, Vanessa K Hinson, Lucia M Blasucci, Jennifer Zimmerman, Wenqing Fan, Tiffany Nguyen, Ann Hsu.   

Abstract

The objective is to test feasibility and utility of home-based videos for assessing Parkinson's disease (PD) patients. As part of a clinical trial, patients opted between coming to the study sites or learning to videotape assessments at home. Those opting for at-home filming completed training on videotape techniques. Ten-minute films were taken at 30-minute intervals over 8.5 hours, 2 and 4 weeks after study entry using a protocol covering most items of the UDPRS motor examination and all Rush Dyskinesia Rating Scale items. After each filming, patients marked their ON/OFF status, based on prior training. We determined the number of patients who elected self-taping and the quality of video segments obtained. To assess ON/OFF patient accuracy, we compared the rater's and patient's assessment of ON/OFF at each time point. Of 12 participants, 10 elected self-videotaping and only 1 time point was missed (99.5% taping compliance). All self-recorded video segments were clear with all protocol elements included. With the exception of one missed ON/OFF rating, patient-based self-ratings occurred on time. Rating ON/OFF, UPDRS, and RDRS assessments for 8.5 hours required 170 minutes by the blinded rater. In spite of patient training, mean ON/OFF concordance between rater and patients was only 64%. At home video-based self-recordings are feasible and allow accurate rater-based ON/OFF assessments. In this group of patients with no or mild fluctuations, in spite of pretrial training, patients were inaccurate in separating ON vs. OFF status. Copyright 2008 Movement Disorder Society.

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Year:  2008        PMID: 18512751     DOI: 10.1002/mds.22127

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  9 in total

1.  mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson's disease.

Authors:  M Kelley Erb; Daniel R Karlin; Bryan K Ho; Kevin C Thomas; Federico Parisi; Gloria P Vergara-Diaz; Jean-Francois Daneault; Paul W Wacnik; Hao Zhang; Tairmae Kangarloo; Charmaine Demanuele; Chris R Brooks; Craig N Detheridge; Nina Shaafi Kabiri; Jaspreet S Bhangu; Paolo Bonato
Journal:  NPJ Digit Med       Date:  2020-01-17

Review 2.  Wearable sensor-based objective assessment of motor symptoms in Parkinson's disease.

Authors:  Christiana Ossig; Angelo Antonini; Carsten Buhmann; Joseph Classen; Ilona Csoti; Björn Falkenburger; Michael Schwarz; Jürgen Winkler; Alexander Storch
Journal:  J Neural Transm (Vienna)       Date:  2015-08-08       Impact factor: 3.575

3.  Testing objective measures of motor impairment in early Parkinson's disease: Feasibility study of an at-home testing device.

Authors:  Christopher G Goetz; Glenn T Stebbins; David Wolff; William DeLeeuw; Helen Bronte-Stewart; Rodger Elble; Mark Hallett; John Nutt; Lorraine Ramig; Terence Sanger; Allan D Wu; Peter H Kraus; Lucia M Blasucci; Ejaz A Shamim; Kapil D Sethi; Jennifer Spielman; Ken Kubota; Andrew S Grove; Eric Dishman; C Barr Taylor
Journal:  Mov Disord       Date:  2009-03-15       Impact factor: 10.338

4.  Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson's Disease in the Home or a Home-like Environment.

Authors:  Catherine Morgan; Michal Rolinski; Roisin McNaney; Bennet Jones; Lynn Rochester; Walter Maetzler; Ian Craddock; Alan L Whone
Journal:  J Parkinsons Dis       Date:  2020       Impact factor: 5.568

5.  Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation.

Authors:  Michael H Li; Tiago A Mestre; Susan H Fox; Babak Taati
Journal:  J Neuroeng Rehabil       Date:  2018-11-06       Impact factor: 4.262

6.  Video Rating in Neurodegenerative Disease Clinical Trials: The Experience of PRION-1.

Authors:  Christopher Carswell; Michael Rañopa; Suvankar Pal; Rebecca Macfarlane; Durre Siddique; Dafydd Thomas; Tom Webb; Steve Wroe; Sarah Walker; Janet Darbyshire; John Collinge; Simon Mead; Peter Rudge
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2012-08-08

7.  mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson's disease.

Authors:  M Kelley Erb; Daniel R Karlin; Bryan K Ho; Kevin C Thomas; Federico Parisi; Gloria P Vergara-Diaz; Jean-Francois Daneault; Paul W Wacnik; Hao Zhang; Tairmae Kangarloo; Charmaine Demanuele; Chris R Brooks; Craig N Detheridge; Nina Shaafi Kabiri; Jaspreet S Bhangu; Paolo Bonato
Journal:  NPJ Digit Med       Date:  2020-01-17

8.  Establishment of a Visual Analog Scale for DBS Programming (VISUAL-STIM Trial).

Authors:  Carla Palleis; Mona Gehmeyr; Jan H Mehrkens; Kai Bötzel; Thomas Koeglsperger
Journal:  Front Neurol       Date:  2020-10-30       Impact factor: 4.003

Review 9.  Domotics, Smart Homes, and Parkinson's Disease.

Authors:  Cristina Simonet; Alastair J Noyce
Journal:  J Parkinsons Dis       Date:  2021       Impact factor: 5.568

  9 in total

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