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Testing a phone app to help older adults who fell improve their walking

Opening soon · University Hospital, Angers

What this means

This is a planned study that has not started yet, so no results exist. It will compare walking changes over 7 weeks with and without an app-based exercise program.

Plain-English summary written by an AI model from the registry listing.

Status
Opening soon
Who can join
Ages 65 and over
Where
Not listed

Contacts and how to join ↗

The science

Registered title
Changes in Spatiotemporal Gait Parameters During a Digitally Assisted Self-rehabilitation Program for Elderly Fallers ( DigiWalk )
Phase
Not applicable
Study type
interventional
Conditions
Aging, Fall, Fall Accident
What is tested
PFPP Group, Control Group
Sponsor
University Hospital, Angers
Ages
65 Years to no maximum
Dates
First posted Aug 3, 2026 · updated Aug 5, 2026

Registry summary

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.

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