Abstract: FR-PO513
IoT (Internet of Things) Follow-Up vs. Conventional Care in Patients with Continuous Ambulatory Peritoneal Dialysis: A Retrospective, Case-Control Study
Session Information
- Peritoneal Dialysis: Modality, Catheter, Infections
November 08, 2019 | Location: Exhibit Hall, Walter E. Washington Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Dialysis
- 703 Dialysis: Peritoneal Dialysis
Authors
- Li, Aihua, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Liang, Mengjun, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Jiang, Zongpei, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
Background
Peritoneal dialysis (PD) has been accepted as a home-based, more cost-effective renal replacement therapy worldwide. Increasing evidence indicates that patients on PD have clinical outcomes that are not optimistic than those on hemodialysis. The reasons for these observations are multifactorial and include lack of experience on self health-care and limited modality of follow-up. Internet of things (IoT), a novel technology that would improve access to and compliance in PD patients, has been designed and deployed to PD patients in our center for the nursing follow-up.
Methods
A retrospective, case-control study enrolled 30 patients on continuous ambulatory peritoneal dialysis (CAPD) in our center from 2018.09 to 2018.10. The patients were categorized into IoT group (15 patients) and conventional group in which patients was selected by propensity score matching for the gender, age, dialysis age and basic nephropathy. All the patients had been followed up for 3 months to assess their quality and compliance of PD. IoT follow-up was defined as the framework of home-based sphygmomanometer, electronic scale, weighing scale and portable application description (PAD) via bluetooth and the nurses in PD group could review the data timely over the internet and provide care management advice. Conventional care was defined as telephone or outpatient follow-up monthly.
Results
There were no differences among gender, age,dialysis age, and basic nephropathy distribution between the two groups. After 3-month follow-up, the weight compliance rate in IoT group seemed better than that in conventional group, with rate of 100% and 80%, p=0.068; the blood pressure compliance rate in IoT group seemed higher than that in conventional group, with rate of 60% and 46.7%, p=0.464. Nine patients (the rate of 60%) in IoT group, while only 2 patients (13.3%) in conventional group, had got alterations of hypotensive drugs, p=0.008. Eight patients (53.3%) in IoT group had acquired adjustments of PD doses, while no patient in conventional group had any changes, p=0.001.
Conclusion
Our preliminary results had indicated that IoT technology could provide innovations and timeliness for basic nursing care in PD follow-up. IoT devices would help to improve the availability and effectiveness of peritoneal dialysis.