ArticleTrials2018
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.
Article in Trials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07262593 (Family-Based Meal Timing for Cancer Prevention Among Native Hawaiian and Other Pacific Islanders), which is not on this map. Cited by 17 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Family-Based Meal Timing for Cancer Prevention Among Native Hawaiian and Other Pacific Islanders: FAMTIME
Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Movement Disorders and Smart Wrist Devices: A Comprehensive Study.Sensors (Basel, Switzerland) · 2025Pooled it
- Effectiveness of Telerehabilitation on Motor Impairments, Non-motor Symptoms and Compliance in Patients With Parkinson's Disease: A Systematic Review.Frontiers in neurology · 2021Pooled it
- Digital health technology for Parkinson's disease with comprehensive monitoring and artificial intelligence-enabled haptic biofeedback for bulbar dysfunction.Journal of Parkinson's disease · 2025Article
- Consolidated guidance for behavioral intervention pilot and feasibility studies.Pilot and feasibility studies · 2024Article
- Expert Perspectives on Pilot and Feasibility Studies: A Delphi Study and Consolidation of Considerations for Behavioral Interventions.Research square · 2023Article
- Monitoring and Predicting Health Status in Neurological Patients: The ALAMEDA Data Collection Protocol.Healthcare (Basel, Switzerland) · 2023Article
- Toward objective monitoring of Parkinson's disease motor symptoms using a wearable device: wearability and performance evaluation of PDMonitorFrontiers in neurology · 2023Article
- Personalized Care in Late-Stage Parkinson's Disease: Challenges and Opportunities.Journal of personalized medicine · 2022Review
- Digital Technology in Movement Disorders: Updates, Applications, and Challenges.Current neurology and neuroscience reports · 2021Review
- The association between overnight fasting and body mass index in older adults: the interaction between duration and timing.International journal of obesity (2005) · 2021Article
- Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks.JMIR mHealth and uHealth · 2020Article
- Health care for chronic neurological patients after COVID-19.The Lancet. Neurology · 2020Review
- Feasibility and Utility of mHealth for the Remote Monitoring of Parkinson Disease: Ancillary Study of the PD_manager Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Article
- Management of Advanced Therapies in Parkinson's Disease Patients in Times of Humanitarian Crisis: The COVID-19 Experience.Movement disorders clinical practice · 2020Review
- Technology-Enabled Care: Integrating Multidisciplinary Care in Parkinson's Disease Through Digital Technology.Frontiers in neurology · 2020Review
- Perceptions of Clinical Academics and People With Parkinson's Disease on Delivery of Regional Interdisciplinary Model of Care: Qualitative Descriptive Study.Journal of primary care & community healthArticle
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundParkinson'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. METHODS/
designThis 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. DISCUSSION: Information gathered will inform further development of the PD_Manager system and a larger effectiveness trial.
trial registrationISRCTN Registry, ISRCTN17396879 . Registered on 15 March 2017.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.