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Characterizing patient compliance over six months in remote digital trials of Parkinson's and Huntington disease
- Source :
- BMC Medical Informatics and Decision Making, BMC Medical Informatics and Decision Making, Vol 18, Iss 1, Pp 1-10 (2018)
- Publication Year :
- 2018
-
Abstract
- Background A growing number of clinical trials use various sensors and smartphone applications to collect data outside of the clinic or hospital, raising the question to what extent patients comply with the unique requirements of remote study protocols. Compliance is particularly important in conditions where patients are motorically and cognitively impaired. Here, we sought to understand patient compliance in digital trials of two such pathologies, Parkinson’s disease (PD) and Huntington disease (HD). Methods Patient compliance was assessed in two remote, six-month clinical trials of PD (n = 51, Clinician Input Study funded by the Michael J. Fox Foundation for Parkinson’s Research) and HD (n = 17, sponsored by Teva Pharmaceuticals). We monitored four compliance metrics specific to remote studies: smartphone app-based medication reporting, app-based symptoms reporting, the duration of smartwatch data streaming except while charging, and the performance of structured motor tasks at home. Results While compliance over time differed between the PD and HD studies, both studies maintained high compliance levels for their entire six month duration. None (− 1%) to a 30% reduction in compliance rate was registered for HD patients, and a reduction of 34 to 53% was registered for the PD study. Both studies exhibited marked changes in compliance rates during the initial days of enrollment. Interestingly, daily smartwatch data streaming patterns were similar, peaking around noon, dropping sharply in the late evening hours around 8 pm, and having a mean of 8.6 daily streaming hours for the PD study and 10.5 h for the HD study. Individual patients tended to have either high or low compliance across all compliance metrics as measured by pairwise correlation. Encouragingly, predefined schedules and app-based reminders fulfilled their intended effect on the timing of medication intake reporting and performance of structured motor tasks at home. Conclusions Our findings suggest that maintaining compliance over long durations is feasible, promote the use of predefined app-based reminders, and highlight the importance of patient selection as highly compliant patients typically have a higher adherence rate across the different aspects of the protocol. Overall, these data can serve as a reference point for the design of upcoming remote digital studies. Trial registration Trials described in this study include a sub-study of the Open PRIDE-HD Huntington’s disease study (TV7820-CNS-20016), which was registered on July 7th, 2015, sponsored by Teva Pharmaceuticals Ltd., and registered on Clinicaltrials.gov as NCT02494778 and EudraCT as 2015–000904-24. Electronic supplementary material The online version of this article (10.1186/s12911-018-0714-7) contains supplementary material, which is available to authorized users.
- Subjects :
- 0301 basic medicine
Pairwise correlation
Male
medicine.medical_specialty
Parkinson's disease
Evening
Time Factors
Health Informatics
Disease
lcsh:Computer applications to medicine. Medical informatics
Health informatics
03 medical and health sciences
0302 clinical medicine
Medicine
Humans
Patient compliance
Aged
Protocol (science)
Remote clinical trials
business.industry
Wearables
Sensors
Health Policy
Clinical Studies as Topic
Parkinson Disease
Middle Aged
Digital trials
Huntington disease
medicine.disease
Mobile Applications
Computer Science Applications
Clinical trial
Smartphones
030104 developmental biology
Research Design
Physical therapy
Parkinson’s disease
lcsh:R858-859.7
Patient Compliance
Female
Smartphone
business
030217 neurology & neurosurgery
Research Article
Compliance
Subjects
Details
- ISSN :
- 14726947
- Volume :
- 18
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC medical informatics and decision making
- Accession number :
- edsair.doi.dedup.....201b2ecb3dbe7ea5874ed9958cd002d9