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Characterizing patient compliance over six months in remote digital trials of Parkinson's and Huntington disease.
Cohen, Shani; Waks, Zeev; Elm, Jordan J; Gordon, Mark Forrest; Grachev, Igor D; Navon-Perry, Leehee; Fine, Shai; Grossman, Iris; Papapetropoulos, Spyros; Savola, Juha-Matti.
Afiliação
  • Cohen S; Advanced Analytics Department, Intel, 94 Em Hamoshavot Road, Petah Tikva, Israel.
  • Waks Z; Advanced Analytics Department, Intel, 94 Em Hamoshavot Road, Petah Tikva, Israel. zeev.waks@intel.com.
  • Elm JJ; Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon St., Suite 303, PO Box 250835, Charleston, SC, 29425, USA.
  • Gordon MF; Teva Branded Pharmaceutical Products R&D, Inc, 41 Moores Rd., Frazer, Petah Tikva, PA, 19355, USA.
  • Grachev ID; Guide Pharmaceutical Consulting, LLC, Millstone Township, NJ, 08535, USA.
  • Navon-Perry L; Teva Pharmaceutical Industries Ltd, 12 Hatrufa St, 4250483, Netanya, Israel.
  • Fine S; Data Science Institute, Interdisciplinary Center, 1 Kanfei Nesharim St, 4610101, Herzliya, Israel.
  • Grossman I; CAMP4 Therapeutics, One Kendall Square, Bldg 1400 West, 3rd Floor, Cambridge, MA, 02139, USA.
  • Papapetropoulos S; Massachusetts General Hospital, Department of Neurology, Boston, USA.
  • Savola JM; Teva Pharmaceuticals International GmbH, Elisabethenstrasse 15, 4051, Basel, Switzerland.
BMC Med Inform Decis Mak ; 18(1): 138, 2018 12 20.
Article em En | MEDLINE | ID: mdl-30572891
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 .
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doença de Parkinson / Cooperação do Paciente / Doença de Huntington / Aplicativos Móveis / Smartphone Tipo de estudo: Diagnostic_studies / Guideline Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Israel

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doença de Parkinson / Cooperação do Paciente / Doença de Huntington / Aplicativos Móveis / Smartphone Tipo de estudo: Diagnostic_studies / Guideline Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Israel