- ICH GCP
- Registre américain des essais cliniques
- Essai clinique NCT04121793
Objective Quality of Life Detection Validation
DiSCERN Phase I - Objective Quality of Life Detection Validation
The purpose of this research study is to:
- Collect data to use in the development of a standardized tool for identifying patients with Parkinson's disease (PD) who would benefit from advanced therapies (AT) such as deep brain stimulation (DBS) and drug pumps.
- Determine the level to which specific activities reflect with quality of life in individuals with PD.
- Obtain feedback from individuals with Parkinson's disease and clinicians on the usability of the system.
Aperçu de l'étude
Statut
Les conditions
Intervention / Traitement
Description détaillée
Type d'étude
Inscription (Réel)
Contacts et emplacements
Lieux d'étude
-
-
Ohio
-
Cleveland, Ohio, États-Unis, 44131
- Great Lakes NeuroTechnologies
-
-
Critères de participation
Critère d'éligibilité
Âges éligibles pour étudier
Accepte les volontaires sains
Sexes éligibles pour l'étude
Méthode d'échantillonnage
Population étudiée
La description
Inclusion Criteria:
- Able to provide informed consent
- Diagnosed with PD
- Hoehn and Yahr scale I-III
- Able to travel to Great Lakes NeuroTechnologies
- Ambulatory and capable of using the Kinesia 360 system
- Able to understand and follow instructions regarding using the device
Exclusion Criteria:
Any subject that does not meet the subject selection criteria will be excluded from this study. Children will be excluded from this study due to the fact that they are unlikely to have PD. Subjects that are not capable of functioning independently or are so symptomatic as to compromise their safety will also be excluded.
Plan d'étude
Comment l'étude est-elle conçue ?
Détails de conception
- Modèles d'observation: Cas uniquement
- Perspectives temporelles: Éventuel
Cohortes et interventions
Groupe / Cohorte |
Intervention / Traitement |
|---|---|
|
Parkinson's Disease
Parkinson's Disease patients
|
Data will be recorded from the Kinesia 360 system and smartphone sensors using the AWARE Framework.
|
Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Kinesia Symptom Scores during Daily Wear
Délai: Continuous during wear over four days
|
Kinesia 360 scoring of Parkinson's Disease motor symptoms (tremor, slowness, dyskinesia, gait): The Kinesia 360 system translates recorded motion into 0-4 scores that correlate to rating scales used by clinicians (lower scores are signifiers of better outcomes and higher scores signify worse outcomes).
A separate 0-4 score is generated for tremor, slowness, and dyskinesia, and gait is tracked for step count and percent of day walking.
|
Continuous during wear over four days
|
Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
User environment audio activity
Délai: Continuous during wear over four days
|
Using the AWARE Framework, the microphone in the smartphone will be used to measure ambient noise and detect conversation during wear.
The output will be detection of conversation and ambient noise level for each recorded timepoint.
The time involved in conversation and around active ambient noise will be compared to the symptom scores to measure user involvement in active environments as an impact on Parkinson's disease symptoms.
|
Continuous during wear over four days
|
|
Patient physical activity
Délai: Continuous during wear over four days
|
Using the AWARE Framework, accelerometers in the smartphone will be used to determine the activity of the user.
The accelerometers will detect if the phone is being carried (using orientation of gravity) and predict most likely physical activity (using pre-existing activity recognition algorithms).
The output will be predicted user activity for each timepoint recorded which will be correlated to Kinesia symptom scores.
|
Continuous during wear over four days
|
|
Patient locations and travel
Délai: Continuous during wear over four days
|
Using the AWARE Framework, Global Positioning System (GPS) tracking in the smartphone will be used to determine the locations and activity of the user.
The GPS sensor will be used to track changes in location and determine when an user is at home (primary location), in a secondary location, or in active motion (car, bike, or walking).
The outcome will be time spent in each location, percent of day at each location, and time and speed travelling between locations.
These outcomes will be correlated to the Kinesia symptom scores and detected physical activity.
|
Continuous during wear over four days
|
Collaborateurs et enquêteurs
Parrainer
Les enquêteurs
- Chercheur principal: Dustin Heldman, PhD, Director of research
Publications et liens utiles
Dates d'enregistrement des études
Dates principales de l'étude
Début de l'étude (Réel)
Achèvement primaire (Réel)
Achèvement de l'étude (Réel)
Dates d'inscription aux études
Première soumission
Première soumission répondant aux critères de contrôle qualité
Première publication (Réel)
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
Dernière mise à jour soumise répondant aux critères de contrôle qualité
Dernière vérification
Plus d'information
Termes liés à cette étude
Termes MeSH pertinents supplémentaires
Autres numéros d'identification d'étude
- DiSCERN1
- 1R44MD013767-01 (Subvention/contrat des NIH des États-Unis)
Plan pour les données individuelles des participants (IPD)
Prévoyez-vous de partager les données individuelles des participants (DPI) ?
Informations sur les médicaments et les dispositifs, documents d'étude
Étudie un produit pharmaceutique réglementé par la FDA américaine
Étudie un produit d'appareil réglementé par la FDA américaine
produit fabriqué et exporté des États-Unis.
Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .