PFPP Group
OtherDigitally assisted self-rehabilitation program in addition to standard care using Personalized Fall Prevention Program (PFPP) through the Stand'hop app.
NCT Number: NCT07741994
Falls are a health issue that is both common among older adults (affecting 1 in 2 people each year after age 80) and serious due to their traumatic, psychological, and functionally disabling complications. The international literature shows that it is possible to prevent recurrent falls by addressing the risk factors for falls, particularly by combating a sedentary lifestyle and deconditioning through regular standing and mobility exercises as part of a rehabilitation program. As part of France's major national plan to prevent falls among older adults, and at a time when medicine is becoming increasingly personalized, prescribing a digitally assisted self-rehabilitation program for people over 65 following a fall could enable as many people as possible to benefit from rehabilitation that boosts their motivation and reduces the time spent by healthcare professionals, while ensuring high-quality follow-up care.
LNA Santé, in collaboration with the Angers and Nantes University Hospitals, has developed a personalized, digitally assisted fall prevention program (the Stand'hop app) comprising three types of activities: tailored physical exercises, structured lifestyle advice, and an objective measurement of the patient's physical activity. Before moving forward with a larger-scale clinical trial to evaluate the effectiveness of this personalized, digitally assisted fall prevention program, the present study DigiWalk aims to describe changes in walking performance over 7 weeks among older adults who have experienced falls, when the program is used as an adjunct to standard care, compared to changes observed in older adults who have experienced falls and receive only standard care.
Trial opening soon.
Get Notified65 year and older
All sexes
Interventional
Not applicable
The main objective is to compare changes in spatiotemporal gait parameters, after 7 weeks of intervention, in :
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Digitally assisted self-rehabilitation program in addition to standard care using Personalized Fall Prevention Program (PFPP) through the Stand'hop app.
Standard rehabilitation care
Time frame: this outcome is assessed at baseline and 7 weeks (8 weeks maximum)
Walking speed (km/h). Spatiotemporal gait parameters as measured using GAITRite®
Time frame: this outcome is assessed at baseline and 7 weeks (8 weeks maximum)
Time frame: this outcome is assessed at baseline and 7 weeks (8 weeks maximum)
Time frame: this outcome is assessed at baseline and 7 weeks (8 weeks maximum)
Time frame: baseline, 3 weeks and 7 weeks (8 maximum)
Time frame: 1 week and 7 weeks (8 weeks max)
Apple Healthkiit / appleWalkingSteadiness : Samples that match the Walking Steadiness identifier use percentage units (described in HKUnit)
Time frame: 1 week and 7 weeks (8 weeks max)
Time frame: 1 week and 7 weeks (8 weeks max)
Time frame: 1 week and 7 weeks (8 weeks max)
Time frame: 1 week and 7 weeks (8 weeks max)
Time frame: 1 week and 7 weeks (8 weeks max)
Time frame: 1 week and 7 weeks (8 maximum)
Time frame: 3 weeks and 7 weeks (8 maximum)
Time frame: 3 weeks and 7 weeks (8 maximum)
Time frame: baseline and 7 weeks (8 weeks maximum)
_ /6 ; 0 being the worse and 6 the better
Time frame: 3 weeks and 7 weeks (8 maximum)
Time frame: 7 weeks (8 weeks maximum)
Time frame: baseline and 7 weeks (8 weeks maximum)
_/12; Adding up the scores from all the tests yields an overall performance score out of 12. A score below 8 indicates a risk of sarcopenia.
Time frame: baseline, 3 weeks and 7 weeks (8 maximum)
If at least one fall met the criteria for severity, how many falls show signs of severity ?
Time frame: baseline and 7 weeks (8 weeks maximum)
_ /4; 0 being the worse and 4 the better
Contact information is provided by the study sponsor or research team.
University Hospital, Angers
Other Gov
Acronym: DigiWalk
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