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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

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Title
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
Published in
Trials, September 2018
DOI 10.1186/s13063-018-2767-4
Pubmed ID
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, on behalf of the PD_Manager consortium

Abstract

Parkinson's disease is a degenerative neurological condition causing multiple motor and non-motor symptoms that have a serious adverse effect on quality of life. Management is problematic due to the variable and fluctuating nature of symptoms, often hourly and daily. The PD_Manager mHealth platform aims to provide a continuous feed of data on symptoms to improve clinical understanding of the status of any individual patient and inform care planning. The objectives of this trial are to (1) assess patient (and family carer) perspectives of PD_Manager regarding comfort, acceptability and ease of use; (2) assess clinician views about the utility of the data generated by PD_Manager for clinical decision making and the acceptability of the system in clinical practice. This trial is an unblinded, parallel, two-group, randomised controlled pilot study. A total of 200 persons with Parkinson's disease (Hoehn and Yahr stage 3, experiencing motor fluctuations at least 2 h per day), with primary family carers, in three countries (110 Rome, 50 Venice, Italy; 20 each in Ioannina, Greece and Surrey, England) will be recruited. Following informed consent, baseline information will be gathered, including the following: age, gender, education, attitudes to technology (patient and carer); time since Parkinson's diagnosis, symptom status and comorbidities (patient only). Randomisation will assign participants (1:1 in each country), to PD_Manager vs control, stratifying by age (1 ≤ 70 : 1 > 70) and gender (60% M: 40% F). The PD_Manager system captures continuous data on motor symptoms, sleep, activity, speech quality and emotional state using wearable devices (wristband, insoles) and a smartphone (with apps) for storing and transmitting the information. Control group participants will be asked to keep a symptom diary covering the same elements as PD_Manager records. After a minimum of two weeks, each participant will attend a consultation with a specialist doctor for review of the data gathered (by either means), and changes to management will be initiated as indicated. Patients, carers and clinicians will be asked for feedback on the acceptability and utility of the data collection methods. The PD_Manager intervention, compared to a symptom diary, will be evaluated in a cost-consequences framework. Information gathered will inform further development of the PD_Manager system and a larger effectiveness trial. ISRCTN Registry, ISRCTN17396879 . Registered on 15 March 2017.

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Geographical breakdown

Country Count As %
Unknown 296 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 16%
Student > Bachelor 34 11%
Student > Ph. D. Student 30 10%
Researcher 29 10%
Other 12 4%
Other 41 14%
Unknown 104 35%
Readers by discipline Count As %
Nursing and Health Professions 39 13%
Medicine and Dentistry 37 13%
Psychology 23 8%
Neuroscience 16 5%
Engineering 13 4%
Other 57 19%
Unknown 111 38%