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Evaluation of the Feasibility of Remote Monitoring of Mechanical In-exsufflation Devices in Paralytic and Neuromuscular Patients Treated at Home.
The implementation of an mechanical in-exsufflator device (MI-E) requires specific expertise because it is a complex device that requires fine-tuning of the settings according to different clinical situations to optimize its effectiveness. Generally, it is performed by experienced physiotherapists in neuromuscular disease reference centers or directly at home via medical-technical home care providers. Treatment data is recorded by the machine at each MI-E session, which may be daily or less frequent, depending on the patient's dependency. All of this information can be accessed by manually downloading the data from the SD card that comes with each MI-E machine. Therefore, the retrieval of this information systematically requires the visit of staff to the patient's home. To date, compliance with these devices is not regularly measured since there is no means of telecommunication allowing remote monitoring of these therapies, whereas technological development in the field of remote monitoring has allowed remote monitoring of patients with sleep apnea syndrome treated with continuous positive airway pressure (CPAP) and, more recently, of some patients with chronic respiratory insufficiency treated with invasive ventilation (NIV). These developments are transforming on the one hand the follow-up of patients under NIV at home by the medical and paramedical teams and on the other hand the financial coverage by the health insurance organizations (ETAPES programs). Within the framework of NIV therapy, we think that remote monitoring of the quality of the sessions, i.e. measurement of peak expiratory flow, insufflated volumes, frequency and duration of the sessions, could facilitate and improve the follow-up of these patients for the medical-technical providers, the expert physiotherapists and the doctors of the reference centers. It is still too early to assume the extent to which data from remote monitoring of MI-E devices would improve patient follow-up. Nevertheless, g
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