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.
The main objective is to compare changes in spatiotemporal gait parameters, after 7 weeks of intervention, in : * Elderly fallers with a digitally assisted self-rehabilitation program in addition to standard care * Elderly fallers with standard rehabilitation care
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Enrollment
200
Digitally assisted self-rehabilitation program in addition to standard care using Personalized Fall Prevention Program (PFPP) through the Stand'hop app.
Standard rehabilitation care
Walking speed (km/h).
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)
Changes in the spatiotemporal gait parameters between V1 and V3 : stride length Spatiotemporal gait parameters as measured using GAITRite®
Time frame: this outcome is assessed at baseline and 7 weeks (8 weeks maximum)
Changes in the spatiotemporal gait parameters between V1 and V3 : Percentage of double support time Spatiotemporal gait parameters as measured using GAITRite®
Time frame: this outcome is assessed at baseline and 7 weeks (8 weeks maximum)
Changes in the spatiotemporal gait parameters between V1 and V3 : Coefficient of variation of stride time Spatiotemporal gait parameters as measured using GAITRite®
Time frame: this outcome is assessed at baseline and 7 weeks (8 weeks maximum)
Number of falls
Time frame: baseline, 3 weeks and 7 weeks (8 maximum)
Gait stability measured by a smartwatch paired with an iPhone (in percentage)
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 spent performing activities involving whole-body movements (minutes), measured by a smartwatch paired with an iPhone.
Time frame: 1 week and 7 weeks (8 weeks max)
Number of hours per day during which the participant stood and moved for at least one minute per hour. Measured by a smartwatch paired with an iPhone.
Time frame: 1 week and 7 weeks (8 weeks max)
Time spent standing (minutes), measured by a smartwatch paired with an iPhone.
Time frame: 1 week and 7 weeks (8 weeks max)
Maximal oxygen consumption (VO₂max), measured by a smartwatch paired with an iPhone.
Time frame: 1 week and 7 weeks (8 weeks max)
Number of daily steps, measured by a smartwatch paired with an iPhone.
Time frame: 1 week and 7 weeks (8 weeks max)
Changes in the number of calories burned per day Calories burned per day, are measured by a smartwatch paired with an iPhone.
Time frame: 1 week and 7 weeks (8 maximum)
Number of hospitalizations since the V1 visit
Time frame: 3 weeks and 7 weeks (8 maximum)
Change of residence since the V1 visit (Yes or No)
Time frame: 3 weeks and 7 weeks (8 maximum)
Changes in functional abilities measured by "Activities of Daily Living" (ADL) score (6 items)
\_ /6 ; 0 being the worse and 6 the better
Time frame: baseline and 7 weeks (8 weeks maximum)
Death (Yes or No)
Time frame: 3 weeks and 7 weeks (8 maximum)
Program adherence is measured by the number of completed self-rehabilitation sessions for Intervention Group
Time frame: 7 weeks (8 weeks maximum)
Changes in SPPB score, at V1 and V3 Short Physical Performance Battery (SPPB) score
\_/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 and 7 weeks (8 weeks maximum)
Number of falls showing signs of severity
If at least one fall met the criteria for severity, how many falls show signs of severity ?
Time frame: baseline, 3 weeks and 7 weeks (8 maximum)
Changes in functional abilities measured by Instrumental Activity of Daily Living (IADL) score (4 items)
\_ /4; 0 being the worse and 4 the better
Time frame: baseline and 7 weeks (8 weeks maximum)
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