Literature DB >> 29303799

Open-Access Electronic Diary for Motor Fluctuation and Dyskinesia Evaluation in Parkinson Disease: Comparison With Paper Diary.

Cinthia Terroba-Chambi, Veronica Bruno, Alex Medina-Escobar, Federico Nanni, Daniel Cerquetti, Malco Rossi, Marcelo Merello.   

Abstract

OBJECTIVE: To determine the utility of an electronic diary for registering motor fluctuations and dyskinesia in Parkinson disease (PD).
METHODS: Free, open-access touch screen software suitable for Android 4.4 or higher, with medication alarms, adjustable intervals, and medication dose settings was developed to evaluate ON-OFF periods and dyskinesia. Prospective evaluation included a first phase conducted to make adjustments concerning motor limitations when using the tablet, as well as for proper motor complication identification, and a second phase of 3 days of use at home with a prior diary training session comparing a modified paper version of Core Assessment Program for Surgical Interventional Therapies in PD and the electronic diary.
RESULTS: All patients correctly identified ON-OFF periods and dyskinesia. Rater/patient matching ON-OFF fluctuations ranged between 94% and 100% for evaluations of different motor states. Dyskinesia matching percentage was 100% for patients with dyskinesia interfering with activities of daily living and 88% for those who reported no-interference. No significant differences between paper and electronic diaries were identified when reporting ON-OFF motor states or in the number of errors when filling the diaries.
CONCLUSIONS: This electronic motor diary proved to be reliable for ON-OFF state and dyskinesia identification and classification. However, no advantage to paper diary has been observed in terms of number of erroneous entries. Based on these results, to improve home motor fluctuations, detection efforts should be directed toward the development of automatic wearable devices rather than digital versions of current available ON-OFF diaries.

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Year:  2018        PMID: 29303799     DOI: 10.1097/WNF.0000000000000264

Source DB:  PubMed          Journal:  Clin Neuropharmacol        ISSN: 0362-5664            Impact factor:   1.592


  2 in total

1.  Acceptability to patients, carers and clinicians of an mHealth platform for the management of Parkinson's disease (PD_Manager): study protocol for a pilot randomised controlled trial.

Authors:  Angelo Antonini; Giovanni Gentile; Manuela Giglio; Andrea Marcante; Heather Gage; Morro M L Touray; Dimitrios I Fotiadis; Dimitris Gatsios; Spyridon Konitsiotis; Lada Timotijevic; Bernadette Egan; Charo Hodgkins; Roberta Biundo; Clelia Pellicano
Journal:  Trials       Date:  2018-09-14       Impact factor: 2.279

2.  Role of data measurement characteristics in the accurate detection of Parkinson's disease symptoms using wearable sensors.

Authors:  Nicholas Shawen; Megan K O'Brien; Sanjeev Venkatesan; Luca Lonini; Tanya Simuni; Jamie L Hamilton; Roozbeh Ghaffari; John A Rogers; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2020-04-20       Impact factor: 4.262

  2 in total

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