Remote Patient Management in Peritoneal Dialysis: Impact on Clinician's Practice and Behavior

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Abstract

Peritoneal dialysis (PD) is a self-administered chronic renal replacement therapy. It is a homebased therapy, and thus subject to the risk of discrepancy between prescribed dose and effective dialysis delivery. Till now automated peritoneal dialysis (APD) cyclers have recorded the dialysis treatments on a card that patients bring to the hospital for consultation in the PD unit. This card contains the operative parameters of each APD session. Recently, Baxter Healthcare developed a cloud-based tool for remote patient and treatment management. The new platform named Sharesource embedded into the cycler HOMECHOICE CLARIAallows to overcome the problems related to poor compliance and feeling of uncertainty by the patient, reducing the number of hospital visits and the workload for physician and nurses of the PD Unit. This new system uploads all treatment information to a secure cloud-based software. The 2-way communication platform gives remote visibility to patient's treatment and allows for feedback and correction of inadequate treatment program. Remote patient management (RPM) allows to visualize the course of home PD day after day, evaluating adherence to prescription, possible alarms during treatment, drainage times, and ultrafiltration amount. The evaluation of all the data can be done by the physician at his desk in the Hospital in front of the computer. RPM allows a patient's dialytic management in real time and enables the nephrologist to remotely modify treatment operative parameters, leaving the patient at home saving kilometers, money and time. In this chapter, we describe a simple algorithm used in our unit to define alarm thresholds and to describe actions to be instituted to correct any possible problem occurring during APD.

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APA

Crepaldi, C., Giuliani, A., Milan Manani, S., Marchionna, N., Piasentin, P., & Ronco, C. (2019). Remote Patient Management in Peritoneal Dialysis: Impact on Clinician’s Practice and Behavior. Contributions to Nephrology, 197, 44–53. https://doi.org/10.1159/000496317

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