Preact to Lower the Risk of Falling by Customized Rehabilitation Across Europe: the PRECISE Study In Italy (PRECISE)

The PRECISE study is a 12-week pilot intervention study to evaluate the usability of the new DigiPrehab technology application in elderly subjects. The DigiPrehab system will enable the early identification of seniors with significant risk factors for falling and will propose an individualized physical training plan at home.

Study Overview

Status

Recruiting

Intervention / Treatment

Detailed Description

The PRECISE project takes the positive results achieved with the DigiRehab application (https://digirehab.dk/en) in home rehabilitation and takes a further step in this direction by combining the personalized training delivered through the application with an artificial intelligence-based predictive model (Artificial intelligence - Decision Support Systems platform, AI-DSS platform) for fall risk assessment in the elderly. In particular, 20 senior participants will test the DSS beta prototype. This new system, called DigiPrehab, will enable early identification of the elderly with significant risk factors for falling and propose an individualized physical training plan to attend to the identified critical areas.

The PRECISE study will be a 12-week pilot intervention study to evaluate the usability of the new DigiPrehab technology application in elderly subjects. The DigiPrehab system will enable the early identification of seniors with significant risk factors for falling and will propose an individualized physical training plan at home.

Study Type

Interventional

Enrollment (Estimated)

30

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Ancona, Italy, 60127
        • Recruiting
        • IRCCS INRCA Hospital
        • Contact:
        • Principal Investigator:
          • Flora D'Ambrosio, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Independent ambulation
  • Fall risk assessed by Tinetti test
  • Mini Mental State Examination ≥ 24
  • Residents at home
  • Familiarity with web applications
  • Ability and willingness to sign informed consent

Exclusion Criteria:

  • Unstable clinical condition by judgment of the physician
  • Severe visual and/or hearing impairment
  • Severe impairment (Activities of Daily Living) in medical record
  • Absence of primary caregiver

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: elderly subjects at risk of fall
Using an Artificial Intelligence-Machine Learning (AI-ML) DSS platform, which analyzes a large collection of data (screening and local data) from different sources, the DigiPrehab system will allow to predict the risk of falling in the elderly subjects. Once the screening will be completed, to carry out the prevention of falls, the system will assign to the participants a personalised exercise program that the patient will carry out at home for 12 weeks. The exercises will be chosen from the following: squat at door, squat on chair, squat with knee-lift, squat with heel-raise, stand-no support, toe-raise with support, toe-raise, one leg balance, weight-shift with support, weight-shift without support, lunge with support, lunge, step on book, step over book, step onto box or stair, step forward-sideways, step forward-sideways-backwards, knee to elbow, timed up and go.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Usability
Time Frame: baseline and 12 weeks later
This outcome will be measured through the System Usability Scale (SUS). It consists of a 10-item questionnaire with five response options for respondents from 'Strongly agree' to 'Strongly disagree'.
baseline and 12 weeks later

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Cognitive impairment
Time Frame: baseline and 12 weeks later
This outcome will be measured by Mini-Mental State Examination (MMSE). It is a neuropsychological test for the evaluation of disorders of intellectual efficiency and the presence of cognitive impairment. The total score is between a minimum of 0 and a maximum of 30 points. A score of 26 to 30 is an indication of cognitive normality. The score will be adjusted with the coefficient for age and schooling.
baseline and 12 weeks later
Falling risk
Time Frame: baseline and 12 weeks later
falling risk will be evaluated by the Tinetti performance oriented mobility assessment (POMA). POMA test has two subscales, Balance and Gait sections. Total score is obtained by adding the scores of the two subscales (balance + gait) . Total score < 19 high fall risk, total score 19-24 medium fall risk, total score 25-28 low fall risk
baseline and 12 weeks later
Health Questionnaire (EQ-5D-5L)
Time Frame: baseline and 12 weeks later
The EuroQol-5 dimensions five level index questionnaire (EQ-5D-5L) covers five dimensions of health: mobility, self-care, usual activities, pain or discomfort, and anxiety or depression. The levels of severity for each dimension ranges from no problems (1) to extreme problems/unable to perform. The raw scores are also converted to an EQ-5D index value using a scoring algorithm (British tariff) ranging from -0.594 (worst perceived health state) to 1.00 (best perceived health state)
baseline and 12 weeks later
Physical performance
Time Frame: baseline and 12 weeks later
Change in physical performance will be ascertained using the Short Physical Performance Battery (SPPB). Summary scores range from 0-12 and higher scores denote higher physical performance
baseline and 12 weeks later
Time Up and Go test (TUG)
Time Frame: baseline and 12 weeks later
Time up and go test (TUG) is a successful screening method to evaluate the chance of falling. Walking pace, muscle strength and balance, sit-to-walk transition time, turning, walking and walk-to-sit transition are expressed in TUG. Participants take greater than 12 seconds to complete TUG will be at greater risk of fall.
baseline and 12 weeks later

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Study Chair: Cristina Gagliardi, IRCCS INRCA, Ancona, Italy

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 26, 2022

Primary Completion (Estimated)

March 30, 2024

Study Completion (Estimated)

March 30, 2024

Study Registration Dates

First Submitted

April 27, 2023

First Submitted That Met QC Criteria

April 27, 2023

First Posted (Actual)

May 6, 2023

Study Record Updates

Last Update Posted (Actual)

June 23, 2023

Last Update Submitted That Met QC Criteria

June 22, 2023

Last Verified

April 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • INRCA_006_2023

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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.

Clinical Trials on Elderly Subjects

Clinical Trials on DigiPrehab system

3
Subscribe