- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04067193
E-vone® Use Detect Falls Among hOspitalized Patients in geRiAtric Medicine (EDORA)
Usability Study of PARADE CONNECT Shoes, a Device to Detect Falls in Old People
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Falls are a major health concerned because of their frequency and severity. It is estimated that 30% of people over 65 years old and 50% of those over 85 years old fall at least once a year. Falls are also one of the main factors of morbidity, mortality and early institutionalization for old people.
Preventive measures have been implemented to limit the recurrence of falls. Most of these preventive measures are secondary and tertiary prevention programs, such as MultiFactorial Interventions (MFIs). Home-based programs are under evaluation, but evidences of their effectiveness are currently controversial. Effects of prevention programs for in and outpatients remain modest. The objectives of these interventions are to decrease the frequency of falls but also to decrease the severity of falls.
The severity of falls is due to their physical complications (found in 50 to 55% of cases), their psychological complications (40%) but it is also reflected by the subsequent hospitalizations (20%), the acceleration of dependency (50%) and the institutionalizations (40%). Falls are complicated by death in 5% of cases.
In addition, the literature on fall complications is profuse. One of these complications is the hip fracture. Hip fracture is the main cause of mortality and loss of autonomy due to falls. However, in a previous study conducted by Bloch et al. in 2009 at Cochin Hospital, several indirect evidences tended to show that mortality from falls was related to the metabolic disorders linked to the extended stay on the ground, rather than to immediate traumatic consequences. As metabolic disorders reflects the time needed to be rescued, this article highlights the importance of using early warning systems to reduce the occurrence of such complications in old frail patients living alone, and unable to get up alone from the ground.
The most commonly used warning tools are remote assistance systems (necklace or bracelet) with a button to push in case of a fall. In the study conducted by Flemming et al. in 2008, when these systems are activated, the great majority of fallers are back on their feet within one hour after the alert. Nevertheless, of 143 old people living alone and unable to get up alone from the ground, only 28 were using a warning system. The reasons for non-use are as follows: the person does not have a warning remote assistance systems, the person owns a warning remote assistance systems but was not wearing it at the time of the fall, the person was wearing a warning remote assistance systems but was forgetting (or was in difficulty) to use it.
Many research projects on fall warning and detection systems have been initiated. In the 2018 meta-analysis by Nguyen et al., fall detection systems are divided into 2 groups: a pre and a post-fall group. In the latter group, the detection systems were mainly using 3D accelerators, gyroscopes, magnetometers or smartphones with the above-mentioned devices. However, to date, there is no reliable detection system on the market because some obstacles remain. These obstacles are concerning technology but also usability. Concerning technological issue, one of the problems remains the ability of devices to detect low kinetic falls, which is common in the elderly. Concerning usability, questions are for example the problem of the voluntary activation by the user of the most common devices, or the absence of wearing the device during numerous falls.
PARADE CONNECT would remove some of the usability obstacle typically associated with remote warning systems. Indeed, the system is activated independently of the will, cognitive state and consciousness of its user. The warning system is integrated into a shoe usually worn by the old people, with probably a less stigmatizing character of aging and loss of independence. This is why it seems important to us, as a first step, to evaluate its acceptability and usability by patients.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Cedric ANNWEILER, MD, PhD
- Phone Number: +33 0241354725
- Email: allegro@chu-angers.fr
Study Locations
-
-
-
Angers, France, 49933 cedex 9
- Angers University Hospital
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion criteria:
Patients :
- Aged 65 years old and over
- To be hospitalised in geriatric medicine department of Angers University Hospital
Unformal caregivers :
- Family members or relatives
- Age 18 years and over
Professional caregivers:
- geriatric medicine department's staff of Angers University Hospital
- aged of 18 years and over
Exclusion criteria:
Patients :
- To have motor disability or walking contraindications
- To be under legal protection
- Refusal of participating
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
old geriatric inpatients
usability assessment after 24 to 72 hours of possible use of the device (PARADE CONNECT shoes)
|
usability survey composed of subpart: System Usability Scale, questions about ergonomic, questions about design, question about global satisfaction.
|
unformal caregivers
usability assessment after 24 to 72 hours of possible use of the device (PARADE CONNECT shoes) by their relative
|
usability survey composed of subpart: System Usability Scale, questions about ergonomic, questions about design, question about global satisfaction.
|
professional caregivers
usability assessment after the possible use of the device (PARADE CONNECT shoes) by 40 hospitalzed old patients in the geriatrics ward
|
usability survey composed of subpart: System Usability Scale, questions about ergonomic, questions about design, question about global satisfaction.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Usability of the PARADE CONNECT shoes: Average of the usability scores
Time Frame: within 24 hours after removal of the device
|
Average of the usability scores.
Usability score is calculated using the responses to the validated System Usability Scale (SUS).
An average score equal or over 70/100 will be considered as satisfying.
|
within 24 hours after removal of the device
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Satisfaction of the PARADE CONNECT shoes: recommendation scale
Time Frame: within 24 hours after removal of the device
|
Average recommendation score.
Satisfaction score is calculated using the responses to the recommendation scale.
This scale is a ten point's scale from 0 (I don't recommend at all) to 10 (I fully recommend).
An average score greater than 5/10 would be acceptable, a score greater than or equal to 7/10 would be satisfactory.
|
within 24 hours after removal of the device
|
Ergonomic of the PARADE CONNECT shoes
Time Frame: within 24 hours after removal of the device
|
Average ergonomics score: The ergonomics score is a composite score based on the average of the answers to five ergonomics questions on a four-level Likert scale.
The Likert scale ranging from 1 (strongly disagree) to 4 (strongly agree).
The average score is reported on ten.
An average score greater than 5/10 would be acceptable, a score greater than or equal to 7/10 would be satisfactory.
|
within 24 hours after removal of the device
|
Preferred shape for the PARADE CONNECT shoes
Time Frame: within 24 hours after removal of the device
|
Three shape of shoes will be presented.
Each participant will be asked about his preferred shape of shoes.
The prefered shape will be the most choose shapenof shoes.
|
within 24 hours after removal of the device
|
Acceptability of the PARADE CONNECT shoes: Average acceptability score
Time Frame: within 24 hours after removal of the device
|
Average acceptability score: The acceptability score is assessed using a closed question.
The response is based on a four-level Likert scale.
The Likert scale ranging from 1 (strongly disagree) to 4 (strongly agree).
The average score is reported on ten.
An average score greater than 5/10 would be acceptable, a score greater than or equal to 7/10 would be satisfactory.
|
within 24 hours after removal of the device
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Cedric ANNWEILER, MD, PhD, Angers University Hospital
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 2019/49
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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