Digital GaitCare - Therapy Monitoring in the Home Environment of Patients With Parkinson

Summary

Gait disturbances and movement restrictions occur frequently in Parkinson's disease. Patient-centered monitoring with objective aids in the patient's daily life, supports and promotes therapy decisions made by physicians and patients. Technical, sensor-based monitoring has the potential to generate objective target parameters at any point in time during therapy (patient journey), representing the state of health and its progression, and to make this information available to physicians and patients via telemedical data management. In this study, the gait analysis system "Mobile GaitLab Home 2.0", consisting of sensors for gait data acquisition, a smartphone application for study participants (Mobile GaitLab app) and a web portal for physicians (Mobile GaitLab portal) is used for data collection.

The research question is divided into three sub-objectives: First, the study explores and tests how technically generated parameters of sensor-based gait analysis can map the symptom "bradykinesis". The second goal is the explorative investigation of how a tele-health service support with low-threshold access to medical professionals, can be integrated into the care process. The third goal is the implementation evaluation of the technological developments. Here, it is examined to determine the extent to which the implementation of gait data and patient feedback (PROMs) in the patient-centered care process within the framework of clinical decision support contributes to early gait-associated therapy optimization and thus improves the general health of patients and how initial indications of positive care effects for patients can be derived.

During a 60-day observation phase, study participants use the gait analysis system, which records their gait pattern throughout the day and collects data via the Mobile GaitLab app. Study participants are asked to perform standardized gait tests in the home environment several times a day, in addition to continuous measurements during the awake phase. Frequency of data collection is controlled by Mobile GaitLab Home 2.0 and can be flexibly adjusted to the study participant's health status and therapy. The Mobile GaitLab app uses questionnaires to record data on gait safety, activity, general well-being, and events relevant to the disease. An evaluation of these data (PROMs) and the results from the gait analyses, are visualized for the study participants via the Mobile GaitLab app.

Conditions

• Parkinson Disease
• Gait Disorders, Neurologic

Sponsors & Collaborators

• University Hospital Erlangen

  collaborator OTHER

• University of Regensburg

  collaborator OTHER

• Philipps University Marburg

  collaborator OTHER

• Hospital Rummelsberg

  collaborator UNKNOWN

• NeuroPoint GmbH

  collaborator UNKNOWN

• Portabiles HealthCare Technologies GmbH

  collaborator UNKNOWN

• Systemhaus Ulm GmbH

  collaborator UNKNOWN

• Fraunhofer Institute for Integrated Circuits IIS

  collaborator UNKNOWN

• Friedrich-Alexander-Universität Erlangen-Nürnberg

  collaborator OTHER

• University of Luxembourg

  collaborator OTHER

• Leibniz Centre for European Economic Research GmbH

  collaborator UNKNOWN

• Medical Valley Digital Health Application Center GmbH

  lead INDUSTRY

Principal Investigators

• Jürgen Winkler, Professor · Molekulare Neurologie, Universitätsklinikum Erlangen

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2021-06-24

Primary Completion

2022-02-15

Completion

2022-02-15

Countries

• Germany

Study Locations