Fall PatientsNCT04324333
Modelling Missteps to Improve Fall Risk Assessment.
A study testing Digital wearable system in people with Fall Patients, run by Tel-Aviv Sourasky Medical Center at 1 site in Israel.
Trial summary
The long-term goals of the project are: 1) Preventing falls before they occur, by significantly improving our ability to monitor fall risk and develop early and sensitive markers for this risk, based on tripping and near falls and other physiological signs, 2) automatically diagnosing falls within seconds from the… Read more about this study
- Who is it for?
- Ages 65 to 90 yearsHealthy volunteers can take part
- Conditions the study is for
- Fall Patients
- What is being tested?
- Digital wearable system
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 200 participants
- Where
- 1 siteIsrael
- Study dates
- 9 Sep 2019to 31 Dec 2024
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 65 to 90 years
- All sexes
- Healthy volunteers accepted
- Older adult
Who may be able to join
- 65-90 years old;
- Ambulatory without help from another person (with or without use of walking aid);
- Able to follow simple directions (Mini Mental State Examination score >21);
- Community-living or assisted living housing for elderly.
Who cannot join
- Subjects who will not be able to wear the devices for more than a 1 week period during the 4 months following their baseline evaluation (planning on traveling out of town, etc.);
- Patients who are not able to deal with the device and do not family member or therapist who is willing to help with the system;
- A state of health that does not allow participation in research and testing, or who has not agreed to participate in the study, or is unable to understand and follow simple instructions.
Trial locations and contacts
1 site in 1 country.
Israel1 site, 1 recruiting
- Recruiting
The Tel Aviv Sourasky Medical Center
Tel Aviv, 64239
Jeffrey M Hausdorff, Prof., +972-3-6947513, jhausdor@tlvmc.gov.il
Marina Brozgol, +972-3-6947513, marinab@tlvmc.gov.il
About this study
The long-term goals of the project are: 1) Preventing falls before they occur, by significantly improving our ability to monitor fall risk and develop early and sensitive markers for this risk, based on tripping and near falls and other physiological signs, 2) automatically diagnosing falls within seconds from the time of the incident, without the need for an emergency / distress button or making a phone call.
Read the detailed description
All subjects will be asked to come to the Center for the Study of Movement, Cognition and Mobility (CMCM), where they will undergo baseline testing. This initial evaluation is designed 1) to assess each subject's mobility, fall risk and related functions, and 2) to obtain more specific information that will be used to inform and update the model of falls and missteps detection.
The study is divided into 3 sections:
- First session in Gait Lab (CMCM) for an overall assessment of subject health (see below).
- Using the system ("monitoring ADL period") in daily life for 4 months (system: Owlytics Healthcare's app+wearable wristband \& insoles).
- A concluding session where the mobility tests performed at the beginning of the study are repeated to assess the changes that occurred during the a period in which the monitoring system is used.
During the first session medical data will be recorded, such as demographics (age, gender, years of education, etc.), habits (physical activity, leisure activities, dietary habits), daily life activities, health-related behaviors (e.g., alcohol consumption and smoking history) and so.
Medical examination will include standardized walking tests (usual-walking and dual-task walking), eye examination, hearing test, balance tests, etc. In addition, to assess cognitive abilities standard Neuropsychological Battery will be used.
At the end of the session, the participant will be asked to place a small accelerometer (AX6 - 6-Axis Logging Accelerometer) to measure daily activity for 7 days. The device will be attached to the lower back using a medical patch. The sensor is lightweight, non-invasive and does not endanger subject's health in any way.
The second part of the study (or "monitoring ADL period") - after the initial assessment, the research coordinator will instruct the subject to use the system. As mentioned, the system is given for 4 months.
The participant will be requested to complete a "fall log" for tracking (via mail, e-mail, phone call or fax).
If the system detects a fall or tripping event, one of the research team will contact the participant to verify the incident and get information about its circumstances (e.g., what the subject did at that time) and the consequences (e.g., does this require medical attention). Any health changes will also be documented during the follow-up period.
Part Three - repeats the tests to assess the changes that occurred during the monitoring period.
- Conditions
- Fall Patients
- Being tested
- Digital wearable system
- Keywords
- Falls, Falls Prevention in Older Age, Automated detection of missteps, Fall Risk
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Digital wearable systemBehavioural
Also called Digital wearable system (Owlytics Healthcare's app)
Owlytics Healthcare's system is dedicated to improving the lives of all seniors by using the predictive power of data analytics.
| Study group | Role | What they receive |
|---|---|---|
| Using Digital wearable system for fall detection | Experimental | Digital wearable system (Owlytics Healthcare's app) enables a 24/7 health-tracking service, collecting personal health data from wearable wristbands and insoles. The data is analyzed by machine-learning algorithms that can detect abnormal physiological patterns. This allows the prediction and prevention of potentially harmful health events (such as falls). Receives: Behavioral: Digital wearable system |
What is being measured
The primary outcome is the main question the study is designed to answer.
Physical Activity
The International Physical Activity Questionnaires (IPAQ-short). It will quantify the health-related physical activity.
Measured: One week post monitoring period
Community ambulation
A body-worn small lightweight device (6-Axis Logging Accelerometer) that will be worn by the subject for 7 days to monitor ADL.
Measured: One week post monitoring period
The frequency of falling
The subjects are asked to fill in monthly Fall log (Frequency and circumstances of falls if occurred)
Measured: One week post monitoring period
Secondary outcomes (2)
Changes in endurance
This measure will be assessed using the 2 minute walk test. The distance walked during 2 minutes will be compared to baseline performance.
Measured: One week post monitoring period
Improve in motor function
Timed Up \& Go test scores (will be compared to baseline performance).
Measured: One week post monitoring period
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Mar 2020
- Study start9 Sep 2019
- Primary completion31 Dec 2024 (estimated)
- Study completion31 Dec 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (2)Papers the sponsor has linked to this study.
- Other trials for Fall PatientsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Tel-Aviv Sourasky Medical Center
- Sponsor type
- Other government
- Collaborators
- Owlytics Healthcare
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04324333
- Sponsor's protocol ID
- TASMC-18-NG-0646-CTIL
- Status last verified
- Mar 2020
- First submitted
- 23 Mar 2020
- Last updated
- 31 Mar 2020
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Hausdorff JM, Rios DA, Edelberg HK. Gait variability and fall risk in community-living older adults: a 1-year prospective study. Arch Phys Med Rehabil. 2001 Aug;82(8):1050-6. doi: 10.1053/apmr.2001.24893.
PubMed 11494184Mackenzie L, Byles J, D'Este C. Validation of self-reported fall events in intervention studies. Clin Rehabil. 2006 Apr;20(4):331-9. doi: 10.1191/0269215506cr947oa.
PubMed 16719031
Study at a glance
From the registry record, last updated by the sponsor on 31 Mar 2020. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Modelling Missteps to Improve Fall Risk Assessment.
- ClinicalTrials.gov ID
- NCT04324333
- Acronym / sponsor ID
- TASMC-18-NG-0646-CTIL
- Conditions
- Fall Patients
- Keywords
- Falls, Falls Prevention in Older Age, Automated detection of missteps, Fall Risk
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 200 participants (estimated)
- Lead sponsor
- Tel-Aviv Sourasky Medical CenterOther government
- Collaborators
- Owlytics Healthcare
- Study start
- 9 Sep 2019 (actual)
- Primary completion
- 31 Dec 2024 (estimated)
- Study completion
- 31 Dec 2024 (estimated)
- First posted
- 27 Mar 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The long-term goals of the project are: 1) Preventing falls before they occur, by significantly improving our ability to monitor fall risk and develop early and sensitive markers for this risk, based on tripping and near falls and other physiological signs, 2) automatically diagnosing falls within seconds from the time of the incident, without the need for an emergency / distress button or making a phone call.
Detailed description
All subjects will be asked to come to the Center for the Study of Movement, Cognition and Mobility (CMCM), where they will undergo baseline testing. This initial evaluation is designed 1) to assess each subject's mobility, fall risk and related functions, and 2) to obtain more specific information that will be used to inform and update the model of falls and missteps detection.
The study is divided into 3 sections:
- First session in Gait Lab (CMCM) for an overall assessment of subject health (see below).
- Using the system ("monitoring ADL period") in daily life for 4 months (system: Owlytics Healthcare's app+wearable wristband \& insoles).
- A concluding session where the mobility tests performed at the beginning of the study are repeated to assess the changes that occurred during the a period in which the monitoring system is used.
During the first session medical data will be recorded, such as demographics (age, gender, years of education, etc.), habits (physical activity, leisure activities, dietary habits), daily life activities, health-related behaviors (e.g., alcohol consumption and smoking history) and so.
Medical examination will include standardized walking tests (usual-walking and dual-task walking), eye examination, hearing test, balance tests, etc. In addition, to assess cognitive abilities standard Neuropsychological Battery will be used.
At the end of the session, the participant will be asked to place a small accelerometer (AX6 - 6-Axis Logging Accelerometer) to measure daily activity for 7 days. The device will be attached to the lower back using a medical patch. The sensor is lightweight, non-invasive and does not endanger subject's health in any way.
The second part of the study (or "monitoring ADL period") - after the initial assessment, the research coordinator will instruct the subject to use the system. As mentioned, the system is given for 4 months.
The participant will be requested to complete a "fall log" for tracking (via mail, e-mail, phone call or fax).
If the system detects a fall or tripping event, one of the research team will contact the participant to verify the incident and get information about its circumstances (e.g., what the subject did at that time) and the consequences (e.g., does this require medical attention). Any health changes will also be documented during the follow-up period.
Part Three - repeats the tests to assess the changes that occurred during the monitoring period.
Study design
- Primary purpose
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Using Digital wearable system for fall detection | Experimental | Behavioral: Digital wearable systemDigital wearable system (Owlytics Healthcare's app) enables a 24/7 health-tracking service, collecting personal health data from wearable wristbands and insoles. The data is analyzed by machine-learning algorithms that can detect abnormal physiological patterns. This allows the prediction and prevention of potentially harmful health events (such as falls). |
Who may qualify
- Ages
- 65 to 90 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Older adult
Key inclusion criteria (4 listed)
- 65-90 years old;
- Ambulatory without help from another person (with or without use of walking aid);
- Able to follow simple directions (Mini Mental State Examination score >21);
- Community-living or assisted living housing for elderly.
Key exclusion criteria (3 listed)
- Subjects who will not be able to wear the devices for more than a 1 week period during the 4 months following their baseline evaluation (planning on traveling out of town, etc.);
- Patients who are not able to deal with the device and do not family member or therapist who is willing to help with the system;
- A state of health that does not allow participation in research and testing, or who has not agreed to participate in the study, or is unable to understand and follow simple instructions.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Digital wearable systemAlso: Digital wearable system (Owlytics Healthcare's app)Owlytics Healthcare's system is dedicated to improving the lives of all seniors by using the predictive power of data analytics. | Behavioural | Using Digital wearable system for fall detection |
Primary outcome
Physical Activity
Time frame: One week post monitoring period
The International Physical Activity Questionnaires (IPAQ-short). It will quantify the health-related physical activity.
Community ambulation
Time frame: One week post monitoring period
A body-worn small lightweight device (6-Axis Logging Accelerometer) that will be worn by the subject for 7 days to monitor ADL.
The frequency of falling
Time frame: One week post monitoring period
The subjects are asked to fill in monthly Fall log (Frequency and circumstances of falls if occurred)
2 secondary outcomes
Changes in endurance
Time frame: One week post monitoring period
Improve in motor function
Time frame: One week post monitoring period
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 31 Mar 2020.
- Background: PubMed 11494184Hausdorff JM, Rios DA, Edelberg HK. Gait variability and fall risk in community-living older adults: a 1-year prospective study. Arch Phys Med Rehabil. 2001 Aug;82(8):1050-6. doi: 10.1053/apmr.2001.24893.
- Background: PubMed 16719031Mackenzie L, Byles J, D'Este C. Validation of self-reported fall events in intervention studies. Clin Rehabil. 2006 Apr;20(4):331-9. doi: 10.1191/0269215506cr947oa.
- Owlytics Healthcare - Personalized Health Detection AppLink provided by the sponsor.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Digital wearable system in people with Fall Patients, run by Tel-Aviv Sourasky Medical Center at 1 site in Israel.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 31 Mar 2020. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Israel. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Marina Brozol, Ms (+972-3-6947513, marinab@tlvmc.gov.il), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Physical Activity (time frame: One week post monitoring period). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04324333, which also lists 2 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 31 Mar 2020.