Translating digital healthcare to enhance clinical management: a protocol for an observational study using a digital health technology system to monitor medication adherence and its effect on mobility in people with Parkinson's

Packer，Emma1; Debelle，Héloïse1; Bailey，Harry G.B.1; Ciravegna，Fabio2; Ireson，Neil3; Evers，Jordi4; Niessen，Martijn4; Shi，Jian Qing5,6; Yarnall，Alison J.1,7; Rochester，Lynn1,7; Alcock，Lisa1,8; Del Din，Silvia1,8

2023-09-04

10.1136/bmjopen-2023-073388

BMJ Open   影响因子和分区

2044-6055

2044-6055

Introduction In people with Parkinson's (PwP) impaired mobility is associated with an increased falls risk. To improve mobility, dopaminergic medication is typically prescribed, but complex medication regimens result in suboptimal adherence. Exploring medication adherence and its impact on mobility in PwP will provide essential insights to optimise medication regimens and improve mobility. However, this is typically assessed in controlled environments, during one-off clinical assessments. Digital health technology (DHT) presents a means to overcome this, by continuously and remotely monitoring mobility and medication adherence. This study aims to use a novel DHT system (DHTS) (comprising of a smartphone, smartwatch and inertial measurement unit (IMU)) to assess self-reported medication adherence, and its impact on digital mobility outcomes (DMOs) in PwP. Methods and analysis This single-centre, UK-based study, will recruit 55 participants with Parkinson's. Participants will complete a range of clinical, and physical assessments. Participants will interact with a DHTS over 7 days, to assess self-reported medication adherence, and monitor mobility and contextual factors in the real world. Participants will complete a motor complications diary (ON-OFF-Dyskinesia) throughout the monitoring period and, at the end, a questionnaire and series of open-text questions to evaluate DHTS usability. Feasibility of the DHTS and the motor complications diary will be assessed. Validated algorithms will quantify DMOs from IMU walking activity. Time series modelling and deep learning techniques will model and predict DMO response to medication and effects of contextual factors. This study will provide essential insights into medication adherence and its effect on real-world mobility in PwP, providing insights to optimise medication regimens. Ethics and dissemination Ethical approval was granted by London - 142 Westminster Research Ethics Committee (REC: 21/PR/0469), protocol V.2.4. Results will be published in peer-reviewed journals. All participants will provide written, informed consent. Trial registration number ISRCTN13156149.

Aging Parkinson-s disease Protocols & guidelines Quality of Life

SCI

英语

其他

Medical Research Council (MRC) Newcastle University["MC_PC_19047","NU-002884"] ; National Institute of Health Research (NIHR)[EP/W031590/1] ; Innovative Medicines Initiative 2 Joint Undertaking[820820]

General & Internal Medicine

Medicine, General & Internal

WOS:001117509700032

BMJ PUBLISHING GROUP

2-s2.0-85169848965

Scopus

1.Translational and Clinical Research Institute,Faculty of Medical Sciences,Newcastle University,Newcastle upon Tyne,United Kingdom
2.Dipartimento di Informatica,Università di Torino,Torino,Italy
3.Department of Computer Science,Insigneo Institute for in Silico Medicine,The University of Sheffield,Sheffield,United Kingdom
4.McRoberts Bv,The Hague,Netherlands
5.Department of Statistics and Data Science,Southern University of Science and Technology,Shenzhen,Guangdong,China
6.National Center for Applied Mathematics,Shenzhen,Guangdong,China
7.Newcastle Upon Tyne Hospitals Nhs Foundation Trust,Newcastle Upon Tyne,United Kingdom
8.Based at the Newcastle Upon Tyne Hospitals Nhs Foundation Trust,Nihr Newcastle Biomedical Research Centre,Newcastle University,Newcastle upon Tyne,United Kingdom

Packer，Emma,Debelle，Héloïse,Bailey，Harry G.B.,et al. Translating digital healthcare to enhance clinical management: a protocol for an observational study using a digital health technology system to monitor medication adherence and its effect on mobility in people with Parkinson's[J]. BMJ Open,2023,13(9).

Packer，Emma.,Debelle，Héloïse.,Bailey，Harry G.B..,Ciravegna，Fabio.,Ireson，Neil.,...&Del Din，Silvia.(2023).Translating digital healthcare to enhance clinical management: a protocol for an observational study using a digital health technology system to monitor medication adherence and its effect on mobility in people with Parkinson's.BMJ Open,13(9).

Packer，Emma,et al."Translating digital healthcare to enhance clinical management: a protocol for an observational study using a digital health technology system to monitor medication adherence and its effect on mobility in people with Parkinson's".BMJ Open 13.9(2023).