Patients requiring long-term home parenteral nutrition (HPN) suffer from chronic intestinal insufficiency. The causes of this syndrome can be either anatomical (extensive resection of the small bowel) or functional (occlusion, pseudo-occlusion, malabsorption). Consequences mean that patients are unable to cover their oral energy and / or hydroelectrolytic needs. As a result, these patients survive only through a nutritional support by the venous route (parenteral nutrition). However, this lifesaving therapy requires complex technological nutritional support issues at home, which will influence the personal life of the patients. At home, HPN therapy is performed by nutrition pumps providing a constant flow and able to detect anomalies. In this context, the development of connected systems that allow informations transmission could help patient's caregiving by the different persons involved in his follow-up (prescribing physicians, home support nurses, patients and relatives, manufacturers). The main objective of this study is to evaluate the performance of an end-to-end data transmission chain which integrates a nutrition pump connected to a medical IoT module (developped by Maatel) able to send information to an applicative layer (software interface PatHView2, developped by Orange Labs) via different transmission modes : LoRaWAN (Long Range Wide-area network), BLE (Bluetooth Low Energy), GSM LTE-M (Global System for Mobile Communications, Long Term Evolution - Machine Type Communication).
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DEVICE_FEASIBILITY
Masking
NONE
Enrollment
9
For the patient, it consists of the installation of the connected pump at his home for a duration of one month. Infusion data and events will be continuously collected and transmitted by the 4 different modes (LoRaAN, BLE , GSM and multimodality).Transmitted data won't be used to change the follow up of the patient. At the end of the month, patients will be solicited by an ergonomic engineer to complete a specific questionnaire in order to evaluate the future acceptability of the proposed solution.
CHU Grenoble Alpes
Grenoble, France
Ratio of all data and anomaly events correctly transmitted from the connected infusion pump to the software interface.
Evaluate the ratio of data (volume administered with the perfusion cycles over 24 hours; duration, velocity rate and mode of the perfusions) and events (occlusion of the venous route and presence of bubble in the infusion line) correctly transmitted in different transmission modalities (LoRaWan, BLE+GSM, GSM LTE-M, multimodality) from the connected infusion pump to the software interface.
Time frame: 1 month
Volume of all data and anomaly events correctly transmitted from the nutrition pump to the software interface, compared to the volume of data to be transmitted.
Evaluate the ratio of all data (volume administered with the perfusion cycles over 24 hours; duration, velocity rate and mode of the perfusions) and events (occlusion of the venous route and presence of bubble in the infusion line) correctly transmitted in terms of volume using different transmission modalities (LoRaWan, BLE+GSM, GSM LTE-M, multimodality), from the connected infusion pump to the software interface.
Time frame: 1 month
Type and variable (value / field / date / time) for data and events from extracted files : - from the pump before the IoT module; - from the software interface.
Evaluate the ratio of each data type (volume administered with the perfusion cycles over 24 hours; duration, velocity rate and mode of the perfusions) and events (technical notifications of system use) correctly transmitted through the four transmission modalities (LoRaWan, BLE+GSM, GSM LTE-M, multimodality), from the connected infusion pump to the software interface. This target will be verified if the proportion of the main target is \< 98%.
Time frame: 1 month
Frequency and typology of problems encountered.
Descriptive analysis of the problems encountered.
Time frame: 1 month
- Quantitative evaluation: number of cases in which the physician would have changed the patient follow-up over the entire study ; - Qualitative evaluation: nature of the follow-up change (no change, delayed change, immediate change).
Quantitative and qualitative evaluation of the proposed solution (software interface) in terms of medical reasoning help on the potential improvement of patient follow-up (i.e. compliance with a prescription).
Time frame: 1 month
Analysis of the efficacy, the efficiency, the difficulties and usage errors of the software interface by the medical team according to specific scenarios tests performed with an ergonomist (with voice and screen recording).
Evaluate the usability of the software interface by the medical team (physicians, nurses, ...).
Time frame: 1 month
Customised hetero-questionnaire at the end study visit.
Assess the acceptability of the proposed solution (connected pump) by the patient.
Time frame: 1 month
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