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Inclusion of the Last patient
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| Name | Class |
|---|---|
| Université Montpellier | OTHER |
| University Ghent | OTHER |
| Tecnalia | UNKNOWN |
| National University of Ireland, Maynooth |
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Physical activity has demonstrated its beneficial effect on functional capabilities and quality of life in patients with PD. However, the daily physical activity remains limited in these patients. Rhythmic auditory cueing improves spatio-temporal gait parameters in patients with PD. The first results of BeatHealth studies have allowed us to identify the best musical stimulation to improve these parameters and the motivation of the patients.
The originality of this study is to propose a gait auto-rehabilitation program using BeatHealth device with optimal auditory cueing during four weeks in ecological conditions in PD.
Observance (utilization's time), safety (falls, pain, fatigability) and efficacy (gait parameters, balance, quality of life) will be evaluated.
Objectives Main goal: To evaluate the observance of the use of BeatHealth device in gait auto-rehabilitation program in patients with PD.
Secondary objectives :
To evaluate safety by the number of falls
To evaluate tolerance by the evaluation of pain and fatigue
To evaluate the expected improvement on gate and quality of life essentialy
To identify predictive factors associated with a good response to the program
To evaluate the technical feasibility.
Methods Design : prospective and descriptive study Population : 60 patients with PD Inclusion criteria : PD diagnosed according the international criteria form the United Kingdom Parkinson's Disease Society Brain Bank ; gait disorder identified by the neurologist or the rehabilitation doktor ; to be able to work 30 minutes consecutively and without technical support Non inclusion criteria : signs for atypical parkinsonism
Main evaluation criteria:
Percentage of time of use of the BeatHealth device compared to the prescribed schedule (30 minutes of walk, 5 times a week during four weeks : 10 hours for the complete study) .
Secondary evaluation criteria :
n°1 - Auto-evalation of the number of falls reported by the patient on a daily agenda before and during the rehabilitation program.
n°2 - Auto-evalation of pain with a visual analogic scale on a daily agenda before and during the rehabilitation program.
n°3 - (a) gait functional capabilities; (b) spatio-temporal parameters of gait; (c) motot severity of the disease(d) balance ; (e) quality of life ; (f) psychopathological evaluations (g) auditory-sensori-motor and timing capabilities (h) sleep.
n°4 - Numbers of correct connections to the program, number of errors of manipulations, number of phone calls for help.
Statistical analysis : In the randomized control study on 21 patients from Martin et al. (2015) evaluating a rehabilitation programm on rythmic auditory cueing by metronome in patients with PD wiht fall potential, program observance was 83% according to self evaluation by the patients. In our study , to estimate this percentage of about 80% with an accuracy of ± 10% (interval of 20%) with a confidance interval of 95, the number of subjects to include is 60.
Main statistical analysis : in order to evaluate the observance of the BeatHealth device, the percentage of the time of use conpared to the prescribed time (10 hours in total)
Program schedule :
Number of visits : 3 Inclusion period : 7 months Follow-up : 2 weeks (from the inclusion to the beginning of the program) + 4 weeks (program) Calendar of the study : january 2016 - october 2016
Content of the visites :
V0=Inclusion / identification of the favorite musical genres of the patient / Explanation and delivery of the agenda.
V1=
Description of the intervention The auto-rehabilitation program will consist in an outside walk, during 5 sessions of 30 minutes per week during 4 weeks with the beatHealth device, delivering the optimal rythmic auditory cueing. The device will associate an Android smartphone, hold at the belt, connected by bluetooth to a headphone and to two sensors strapped to the ankles. The patient will transfer the data collected by BeatHealth to a secured website and will complete the agenda
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with parkinson's disease | Experimental | Patients with parkinson's disease |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Auto rehabilitation program of gait with Beat Health device. | Behavioral | The auto-rehabilitation program will consist in an outside walk, during 5 sessions of 30 minutes per week during 4 weeks with the beatHealth device, delivering the optimal rythmic auditory cueing. The device will associate an Android smartphone, hold at the belt, connected by bluetooth to a headphone and to two sensors strapped to the ankles. The patient will transfer the data collected by BeatHealth to a secured website and will complete the agenda |
| Measure | Description | Time Frame |
|---|---|---|
| Percentage of time of use of the BeatHealth device compared to the prescribed schedule | measured automatically by Beathealth device | 4 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Auto-evalation of the number of falls reported by the patient on a daily agenda | self reported in a diary | 4 weeks |
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Inclusion Criteria:
Exclusion Criteria:
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33981279 | Derived | Cochen De Cock V, Dotov D, Damm L, Lacombe S, Ihalainen P, Picot MC, Galtier F, Lebrun C, Giordano A, Driss V, Geny C, Garzo A, Hernandez E, Van Dyck E, Leman M, Villing R, Bardy BG, Dalla Bella S. BeatWalk: Personalized Music-Based Gait Rehabilitation in Parkinson's Disease. Front Psychol. 2021 Apr 26;12:655121. doi: 10.3389/fpsyg.2021.655121. eCollection 2021. |
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| ID | Term |
|---|---|
| D010300 | Parkinson Disease |
| ID | Term |
|---|---|
| D020734 | Parkinsonian Disorders |
| D001480 | Basal Ganglia Diseases |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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| OTHER |
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|
| D009422 | Nervous System Diseases |
| D009069 | Movement Disorders |
| D000080874 | Synucleinopathies |
| D019636 | Neurodegenerative Diseases |