Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson’s Disease in the Home or a Home-like Environment

Morgan, Catherine; Rolinski, Michal; McNaney, Róisín; Jones, Bennet; Rochester, Lynn; Maetzler, Walter; Craddock, Ian J; Whone, Alan

doi:10.3233/jpd-191781

Cited by 50 publications

(53 citation statements)

References 111 publications

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“…B. die Ganggeschwindigkeit, Variabilität und Symmetrie des Gangmusters oder den Tremor sensitiver und unabhängiger und sind damit ein verlässlicherer Studienendpunkt, sowohl im klinischen Setting als auch zu Hause [10]. Auch könnten dadurch Studienkosten reduziert werden, da weniger klinische Studien Visiten nötig sind [9].…”

Section: Verbesserung Des Endpointsunclassified

“…Diese werden an multiplen Stellen des Körpers in unterschiedlicher Zahl angebracht und die erhobenen Daten dann über "the internet of things" übertragen. Einen guten Überblick gibt das systematische Review von C. Morgan [9]. Die Validierung der zu Hause erhobenen Daten ist allerdings schwieriger.…”

Section: Symptom Monitoring Und Therapieüberwachung Von Ms Und Nmsunclassified

“…Eine Vielzahl von Wearables erfüllen diese Anforderungen und zahlreiche systematische Reviews beleuchten dies kritisch. Die zur Ganganalyse eingesetzten Algorithmen haben eine Genauigkeit, Sensitivität und Spezifität von 85-100 % [8][9][10]. Es werden verschiedene Technologien zur Beurteilung von Bradykinese [10,18,20], Tremor [19,20] und axialen Symptomen [10,20] eingesetzt.…”

Section: Introductionunclassified

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Wearables als unterstützendes Tool für den Paradigmenwechsel in der Versorgung von Parkinson Patienten

Thun-Hohenstein¹,

Klucken

2021

Klinische Neurophysiologie

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ZusammenfassungTragbare Sensoren – „Wearables“ – eignen sich, Funktionsstörungen bei Parkinson Patienten zu erheben und werden zur Prävention, Prädiktion, Diagnostik und Therapieunterstützung genutzt. In der Forschung erhöhen sie die Reliabilität der erhobenen Daten und stellen bessere Studien-Endpunkte dar, als die herkömmlichen, subjektiven und wenig quantitativen Rating- und Selbstbeurteilungsskalen. Untersucht werden motorische Symptome wie Tremor, Bradykinese und Gangstörungen und auch nicht motorische Symptome. In der Home-Monitoringanwendung kann der Ist-Zustand des Patienten im realen Leben untersucht werden, die Therapie überwacht, die Adhärenz verbessert und die Compliance überprüft werden. Zusätzlich können Wearables interventionell zur Verbesserung von Symptomen eingesetzt werden wie z. B. Cueing, Gamification oder Coaching. Der Transfer von Laborbedingungen in den häuslichen Alltag ist eine medizinisch-technische Herausforderung. Optimierte Versorgungsmodelle müssen entwickelt werden und der tatsächliche Nutzen für den individuellen Patienten in weiteren Studien belegt werden.

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Section: Verbesserung Des Endpointsunclassified

Section: Symptom Monitoring Und Therapieüberwachung Von Ms Und Nmsunclassified

Section: Introductionunclassified

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Wearables als unterstützendes Tool für den Paradigmenwechsel in der Versorgung von Parkinson Patienten

Thun-Hohenstein¹,

Klucken

2021

Klinische Neurophysiologie

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“…Outcomes should be deliverable under pandemic conditions (eg, when wearing full personal protective equipment (PPE) in overloaded hospitals). Outcomes that can be collected from routinely collected clinical data or participant-reported outcomes that have the flexibility to be collected by telephone, by video link, by remote devices (eg, accelerometers or other Bluetooth-enabled devices 14 ) or by web-based/SMS interfaces should be preferred, ensuring that such platforms can be used by participants with a range of sensory and motor disabilities.…”

Section: Introductionmentioning

confidence: 99%

Ensuring that COVID-19 research is inclusive: guidance from the NIHR INCLUDE project

et al. 2020

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ObjectiveTo provide guidance to researchers, funders, regulators and study delivery teams to ensure that research on COVID-19 is inclusive, particularly of groups disproportionately affected by COVID-19 and who may have been historically under-served by research.Summary of key pointsGroups who are disproportionately affected by COVID-19 include (but are not limited to) older people, people with multiple long-term conditions, people with disabilities, people from Black, Asian and Ethnic minority groups, people living with obesity, people who are socioeconomically deprived and people living in care homes. All these groups are under-served by clinical research, and there is an urgent need to rectify this if COVID-19 research is to deliver relevant evidence for these groups who are most in need. We provide a framework and checklists for addressing key issues when designing and delivering inclusive COVID-19 research, based on the National Institute for Health Research INnovations in CLinical trial design and delivery for the UnDEr-served project roadmap. Strong community engagement, codevelopment and prioritisation of research questions and interventions are essential. Under-served groups should be represented on funding panels and ethics committees, who should insist on the removal of barriers to participation. Exclusion criteria should be kept to a minimum; intervention delivery and outcome measurement should be simple, flexible and tailored to the needs of different groups, and local advice on the best way to reach and engage with under-served communities should be taken by study delivery teams. Data on characteristics that allow identification of under-served groups must be collected, analyses should include these data to enable subgroup comparisons and results should be shared with under-served groups at an early stage.ConclusionInclusive COVID-19 research is a necessity, not a luxury, if research is to benefit all the communities it seeks to serve. It requires close engagement with under-served groups and attention to aspects of study topic, design, delivery, analysis and dissemination across the research life cycle.

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“…12 Development of technologies for the measurement of various aspects of PD has been evolving over the past 15 years. 13 Particularly motor symptoms, including gait and bradykinesia, are amenable to measurement by technology 14 continuously and over long time periods. For example, the Parkinson's KinetiGraph wearable movement recording device (developed by Global Kinetics) can measure tremor, bradykinesia and dyskinesia 15 and the Microsoft Kinect motion sensor can classify PD stages relating to gait impairment.…”

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confidence: 99%

Protocol for PD SENSORS: Parkinson’s Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson’s disease

et al. 2020

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IntroductionThe impact of disease-modifying agents on disease progression in Parkinson’s disease is largely assessed in clinical trials using clinical rating scales. These scales have drawbacks in terms of their ability to capture the fluctuating nature of symptoms while living in a naturalistic environment. The SPHERE (Sensor Platform for HEalthcare in a Residential Environment) project has designed a multi-sensor platform with multimodal devices designed to allow continuous, relatively inexpensive, unobtrusive sensing of motor, non-motor and activities of daily living metrics in a home or a home-like environment. The aim of this study is to evaluate how the SPHERE technology can measure aspects of Parkinson’s disease.Methods and analysisThis is a small-scale feasibility and acceptability study during which 12 pairs of participants (comprising a person with Parkinson’s and a healthy control participant) will stay and live freely for 5 days in a home-like environment embedded with SPHERE technology including environmental, appliance monitoring, wrist-worn accelerometry and camera sensors. These data will be collected alongside clinical rating scales, participant diary entries and expert clinician annotations of colour video images. Machine learning will be used to look for a signal to discriminate between Parkinson’s disease and control, and between Parkinson’s disease symptoms ‘on’ and ‘off’ medications. Additional outcome measures including bradykinesia, activity level, sleep parameters and some activities of daily living will be explored. Acceptability of the technology will be evaluated qualitatively using semi-structured interviews.Ethics and disseminationEthical approval has been given to commence this study; the results will be disseminated as widely as appropriate.

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Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson’s Disease in the Home or a Home-like Environment

Cited by 50 publications

References 111 publications

Wearables als unterstützendes Tool für den Paradigmenwechsel in der Versorgung von Parkinson Patienten

Wearables als unterstützendes Tool für den Paradigmenwechsel in der Versorgung von Parkinson Patienten

Ensuring that COVID-19 research is inclusive: guidance from the NIHR INCLUDE project

Protocol for PD SENSORS: Parkinson’s Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson’s disease

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