Ignite Creation Date:
2025-12-25 @ 3:46 AM
Ignite Modification Date:
2025-12-26 @ 2:32 AM
Study NCT ID:
NCT06209502
Status:
RECRUITING
Last Update Posted:
2024-01-17
First Post:
2024-01-08
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Quality-of-Life Index (Q-Index)
Sponsor:
Koios Care
Organization:
Study Overview
Official Title:
Q-Index: A Proof of Concept Investigation Towards Monitoring the Health-related Quality of Life of Parkinson's Disease Patients Using Wearable and Portable Devices.
Status:
RECRUITING
Status Verified Date:
2024-01
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The main objective of this observational study is to use commonly-used connected objects (smartphones and smartwatches) to remotely assess and monitor the health-related quality of life (HrQoL) of people with Parkinson's disease at different stages of progression.
Detailed Description:
The main objective of this observational study is to use commonly-used connected objects (smartphones and smartwatches) to remotely assess and monitor the health-related quality of life (HrQoL) of people with Parkinson's disease at different stages of progression.
The study takes place in hospitals in Belgium. The study populations are as follows: up to 100 patients between stages H\&Y 1.5 and 3 (population A), up to 15 patients with early-stage Parkinson's disease H\&Y 1 (population B), and up to 15 healthy controls (population C). The duration of the study is approximately 9 months, between September 2023 and November 2024, and will include a baseline clinical assessment (month 0), the first follow-up (month 4) and the second follow-up (month 8).
The main objective is to build an algorithm capable of remotely assessing the health-related quality of life (HrQoL) of patients belonging to population A. This objective will be achieved by formulating and estimating the quality of life index (Q-index) based on continuously and passively recorded data from commercially available wearable devices (an Android smartwatch and a smartphone). The secondary objective is to determine whether the Q index is sufficiently sensitive to monitor the quality of life of people who are in the early stages of the disease (population B). A group of healthy control subjects (population C) will be used to identify the range of Q index values corresponding to healthy and PD populations.
To achieve this objective, we will compare the information extracted from connected devices (micro-indicators) with the responses of participants to questionnaires and clinical tests aimed at evaluating PROMs (patient-related outcome measures). The list of data collected is included in the following table.
To calculate the Q index, we plan to use a combination of several micro-indicators, each acting as a surrogate for the subject's ability to effectively perform certain activities of daily living; communication, sleep, eating, sociability and physical independence. An example of a micro-indicator is Plate-to-Mouth1 (PtM), which measures the individual's eating behavior by estimating the time required to transfer a quantity of food ready to be consumed, from the plate to the mouth.
The ability to accurately monitor health-related quality of life (HrQoL) characteristics will be assessed initially by examining how each micro-indicator correlates with appropriate items from validated questionnaires such as the Health-Related Quality of Life Questionnaire. Parkinson's disease, called PDQ-39. For example, eating behavior (and more specifically Plate-to-Mouth) is associated with upper limb sluggishness and is linked to items 11, 12, 13, 14 and 16 of the PDQ-39. After assessing each micro-indicator, the combined ability of the Q index to monitor HrQoL as a whole will be realized by comparing it to scores and subscores from validated PROMs scales, such as the PDQ-39.
The study takes place in hospitals in Belgium. The study populations are as follows: up to 100 patients between stages H\&Y 1.5 and 3 (population A), up to 15 patients with early-stage Parkinson's disease H\&Y 1 (population B), and up to 15 healthy controls (population C). The duration of the study is approximately 9 months, between September 2023 and November 2024, and will include a baseline clinical assessment (month 0), the first follow-up (month 4) and the second follow-up (month 8).
The main objective is to build an algorithm capable of remotely assessing the health-related quality of life (HrQoL) of patients belonging to population A. This objective will be achieved by formulating and estimating the quality of life index (Q-index) based on continuously and passively recorded data from commercially available wearable devices (an Android smartwatch and a smartphone). The secondary objective is to determine whether the Q index is sufficiently sensitive to monitor the quality of life of people who are in the early stages of the disease (population B). A group of healthy control subjects (population C) will be used to identify the range of Q index values corresponding to healthy and PD populations.
To achieve this objective, we will compare the information extracted from connected devices (micro-indicators) with the responses of participants to questionnaires and clinical tests aimed at evaluating PROMs (patient-related outcome measures). The list of data collected is included in the following table.
To calculate the Q index, we plan to use a combination of several micro-indicators, each acting as a surrogate for the subject's ability to effectively perform certain activities of daily living; communication, sleep, eating, sociability and physical independence. An example of a micro-indicator is Plate-to-Mouth1 (PtM), which measures the individual's eating behavior by estimating the time required to transfer a quantity of food ready to be consumed, from the plate to the mouth.
The ability to accurately monitor health-related quality of life (HrQoL) characteristics will be assessed initially by examining how each micro-indicator correlates with appropriate items from validated questionnaires such as the Health-Related Quality of Life Questionnaire. Parkinson's disease, called PDQ-39. For example, eating behavior (and more specifically Plate-to-Mouth) is associated with upper limb sluggishness and is linked to items 11, 12, 13, 14 and 16 of the PDQ-39. After assessing each micro-indicator, the combined ability of the Q index to monitor HrQoL as a whole will be realized by comparing it to scores and subscores from validated PROMs scales, such as the PDQ-39.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: