Effect of Intensive Education Methods on Self-Management and Incidence of Complications in Peritoneal Dialysis Patients

Abstract Background and Aims With the continuous advancement of information technology, mobile Internet has entered every family and shown its unique advantages. The development of hospital's information construction on the management of chronic disease, the continuous improvement of hospital APP and Wechat public number functions have provided intelligent services for patients throughout the process. Along with this process, the way of hospital patient follow-up has gradually expanded and improved, and the automation and intellectualization of follow-up work has become a reality. However, The establishment of peritoneal dialysis health management professional team and the implementation of closed-loop health management model, which is based on the Internet closed-loop management model has no clear impact on the self-management ability, quality of life and treatment effect of peritoneal dialysis patients. To explore the effectiveness of Internet based in-hospital and out of hospital closed loop management on the quality of life of patients with peritoneal dialysis, it is necessary to establish a set of closed loop management system for chronic diseases patients with promotion and practical significance. Method From July 2017 to July 2018, 214 patients with continuous peritoneal dialysis were followed up regularly in the Department of Nephrology of our hospital, and voluntarily participated in this study. The mean follow-up time was 12.6 ± 1.5 months. The differences of blood electrolytes, quality control indexes, self-management ability, quality of life of renal disease and hospital satisfaction were observed before and after closed-loop management. Results Ability of self-management behavior (p < 0.001), quality of life (p < 0.001), satisfaction (p < 0.001), the incidence of infection (p < 0.05), serum albumin (p < 0.05), hemoglobin (p < 0.05)were improved after participating in the closed-loop management. Conclusion The closed-loop management system based on Internet closed-loop management model is effective for the quality of life and treatment effect of peritoneal dialysis patients, which integrates the core functions of follow-up records, intelligent early warning, doctor-patient communication and health education. Through this closed-loop management, medical staff can digitally collect, store, transmit and process the information of in-hospital and out-of-hospital conditions through follow-up analysis, health guidance and remote assistance to achieve the purpose of patient health management. This study shows that this closed-loop management system can effectively manage the health of peritoneal dialysis patients, and provides a replicable model for the management of chronic diseases. Therefore, a comprehensive closed-loop management system based on mobile Internet and information technology, with clinical care as the leading factor and peritoneal dialysis patients as the terminal is a feasible and acceptable follow-up management method for peritoneal dialysis patients and hospitals.

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The effect of a self‐management program on hand‐washing/mask‐wearing behaviours and self‐efficacy level in peritoneal dialysis patients: a pilot study

Journal of Renal Care ◽

10.1111/jorc.12270 ◽

2019 ◽

Vol 45 (2) ◽

pp. 93-101 ◽

Cited By ~ 3

Author(s):

Ezgi Karadag

Keyword(s):

Peritoneal Dialysis ◽

Pilot Study ◽

Self Efficacy ◽

Management Program ◽

Hand Washing ◽

Self Management ◽

Dialysis Patients

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Effect of peer support on improving self-management ability in peritoneal dialysis patients—a randomized controlled trial

Annals of Palliative Medicine ◽

10.21037/apm-21-219 ◽

2021 ◽

Vol 10 (3) ◽

pp. 3028-3038

Author(s):

Xiaolei Chen ◽

Linghong Hua ◽

Cen Zhang ◽

Zhenghong Xu ◽

Xiaodong Cao ◽

...

Keyword(s):

Randomized Controlled Trial ◽

Peritoneal Dialysis ◽

Peer Support ◽

Controlled Trial ◽

Self Management ◽

Dialysis Patients ◽

Randomized Controlled ◽

Management Ability

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Which Method Should Be Used to Assess Protein Intake in Peritoneal Dialysis Patients? Assessment of Agreement Between Protein Equivalent of Total Nitrogen Appearance and 24-Hour Dietary Recall

Journal of Renal Nutrition ◽

10.1053/j.jrn.2020.08.003 ◽

2020 ◽

Author(s):

Maryanne Zilli Canedo Silva ◽

Barbara Perez Vogt ◽

Nayrana Soares Carmo Reis ◽

Rogerio Carvalho Oliveira ◽

Jacqueline Costa Teixeira Caramori

Keyword(s):

Peritoneal Dialysis ◽

Total Nitrogen ◽

Protein Intake ◽

Dialysis Patients ◽

Dietary Recall

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Prevalence of abnormalities in electrocardiogram conduction in dialysis patients: a comparative study

Brazilian Journal of Nephrology ◽

10.1590/10.1590/2175-8239-jbn-2020-0018 ◽

2020 ◽

Author(s):

Firas Ajam ◽

Arda Akoluk ◽

Anas Alrefaee ◽

Natasha Campbell ◽

Avais Masud ◽

...

Keyword(s):

Peritoneal Dialysis ◽

Cardiac Conduction ◽

Future Research ◽

Dialysis Patients ◽

Bundle Branch Block ◽

Conduction Abnormality ◽

Ckd Stage ◽

Stage 1 ◽

Electrocardiogram Ecg ◽

Ecg Abnormalities

ABSTRACT Background: The electrocardiogram (ECG) can aid in identification of chronic kidney disease (CKD) patients at high risk for cardiovascular diseases. Cohort studies describe ECG abnormalities in patients on hemodialysis (HD), but we did not find data comparing ECG abnormalities among patients with normal kidney function or peritoneal dialysis (PD) to those on hemodialysis. We hypothesized that ECG conduction abnormalities would be more common, and cardiac conduction interval times longer, among patients on hemodialysis vs. those on peritoneal dialysis and CKD 1 or 2. Methods: Retrospective review of adult inpatients’ charts, comparing those with billing codes for “Hemodialysis” vs. inpatients without those charges, and an outpatient peritoneal dialysis cohort. Patients with CKD 3 or 4 were excluded. Results: One hundred and sixty-seven charts were reviewed. ECG conduction intervals were consistently and statistically longer among hemodialysis patients (n=88) vs. peritoneal dialysis (n=22) and CKD stage 1 and 2 (n=57): PR (175±35 vs 160±44 vs 157±22 msec) (p=0.009), QRS (115±32 vs. 111±31 vs 91±18 msec) (p=0.001), QT (411±71 vs. 403±46 vs 374±55 msec) (p=0.006), QTc (487±49 vs. 464±38 vs 452±52 msec) (p=0.0001). The only significantly different conduction abnormality was prevalence of left bundle branch block: 13.6% among HD patients, 5% in PD, and 2% in CKD 1 and 2 (p=0.03). Conclusion: To our knowledge, this is the first study to report that ECG conduction intervals are significantly longer as one progresses from CKD Stage 1 and 2, to PD, to HD. These and other data support the need for future research to utilize ECG conduction times to identify dialysis patients who could potentially benefit from proactive cardiac evaluations and risk reduction.

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