Automated peritoneal dialysis treatment based on end-stage kidney disease patient shared decision-making
ZHANG Dihua
Abstract:In recent years,the incidence of end-stage kidney disease(ESKD)in China has been increasing annually.Dialysis patients often experience various complications,and they are also a high-risk population for psychological disorders such as anxiety and depression.The choice of dialysis method and the dialysis process are closely related to the daily lives of the patients and their families.All these patients require a patient-centric treat-ment strategy.Before entering end-stage renal disease(ESRD)and preparing for renal replacement therapy,it is crucial for patients and their families to understand the characteristics of each renal replacement therapy.Considering clinical treatment needs,as well as the patient's living environment,work and study requirements,social reinte-gration,psychological needs,and personalized preferences,a collaborative decision-making approach is essential to choose an appropriate renal replacement therapy.With the growing preference for shared decision-making,more patients wish to undergo home dialysis treatment.Currently,due to limitations in equipment technology,economic costs,and human resources,home hemodialysis is challenging to widely adopt.Peritoneal dialysis,as a primary form of home dialysis,faces issues such as improper patient operation,poor treatment compliance,delayed prescription adjustments,and intervention for complications due to problems related to training and follow-up management.This article focuses on elucidating the shared decision-making process for ESRD patients,the prescription settings and remote patient follow-up management of automated peritoneal dialysis,which may help to collectively improve the treatment quality and social reintegration of home peritoneal dialysis patients.
Keywords:end-stage renal diseaseshared decision-makingautomated peritoneal dialysisperito-neal dialysis prescriptionremote patient management
Publication Date:2024-06-25
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:6( 1613-1618 )
