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This study is to investigate the non-compliance rate of patients undergoing automated peritoneal dialysis by using automated peritoneal dialysis with SHARESOURCE software, and to evaluate if telemonitoring can improve peritoneal dialysis compliance and outcomes in the observation period.
The non-compliance of patients receiving automated peritoneal dialysis (APD) is around 10-20%, and was believed to be under-estimated. Recently, a two-way telehealth system, SHARESOURCE software, provide practitioners real-time monitoring and recording of the therapy of APD.
By using this APD with SHARESOURCE software, we want to investigate the non-compliance rate of patients undergoing automated peritoneal dialysis, want to see if it can improve peritoneal dialysis compliance and outcomes in the observation period.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| APD | Experimental |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| HomeChoice Claria APD machine with SHARESOURCE | Device | HomeChoice Claria APD machine with SHARESOURCE software. SHARESOURCE is a software can telemonitor patients' compliance |
|
| Measure | Description | Time Frame |
|---|---|---|
| Change of baseline patients' non-compliance rate at 3 months | Non compliance rate was calculated by the days of non-compliance divided by days of APD therapy | baseline(between week 0 and 12) and 3 months(week 12 and week 24) |
| Measure | Description | Time Frame |
|---|---|---|
| Change of baseline peritoneal dialysis adequacy at 3 and 6 months | Dialysis adequacy is to see if dialysis is enough | baseline, week 12 and week 24 |
| Change of baseline uremic toxin level at 3 and 6 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Shih-Yuan Hung | Contact | +8867-615-0011 | 2980 | ed100367@edah.org.tw |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30798791 | Background | Saran R, Robinson B, Abbott KC, Agodoa LYC, Bragg-Gresham J, Balkrishnan R, Bhave N, Dietrich X, Ding Z, Eggers PW, Gaipov A, Gillen D, Gipson D, Gu H, Guro P, Haggerty D, Han Y, He K, Herman W, Heung M, Hirth RA, Hsiung JT, Hutton D, Inoue A, Jacobsen SJ, Jin Y, Kalantar-Zadeh K, Kapke A, Kleine CE, Kovesdy CP, Krueter W, Kurtz V, Li Y, Liu S, Marroquin MV, McCullough K, Molnar MZ, Modi Z, Montez-Rath M, Moradi H, Morgenstern H, Mukhopadhyay P, Nallamothu B, Nguyen DV, Norris KC, O'Hare AM, Obi Y, Park C, Pearson J, Pisoni R, Potukuchi PK, Repeck K, Rhee CM, Schaubel DE, Schrager J, Selewski DT, Shamraj R, Shaw SF, Shi JM, Shieu M, Sim JJ, Soohoo M, Steffick D, Streja E, Sumida K, Kurella Tamura M, Tilea A, Turf M, Wang D, Weng W, Woodside KJ, Wyncott A, Xiang J, Xin X, Yin M, You AS, Zhang X, Zhou H, Shahinian V. US Renal Data System 2018 Annual Data Report: Epidemiology of Kidney Disease in the United States. Am J Kidney Dis. 2019 Mar;73(3 Suppl 1):A7-A8. doi: 10.1053/j.ajkd.2019.01.001. Epub 2019 Feb 21. No abstract available. | |
| 9428459 |
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| ID | Term |
|---|---|
| D010349 | Patient Compliance |
| ID | Term |
|---|---|
| D010342 | Patient Acceptance of Health Care |
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
| D001519 | Behavior |
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use automated peritoneal dialysis machine without SHARESOURCE for 12 weeks, then use automated peritoneal dialysis machine with SHARESOURCE for 12 weeks
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concentration of uremic toxins(ex: indoxyl sulfate, and p-cresyl sulfate)
| baseline, week 12 and week 24 |
| change of body composition analysis | body composition exam (Body Composition Monitor, Fresenius Medical Care, Bad Homburg, Germany) will be done | baseline, week 12 and week 24 |
| peritonitis rate (patient-month) | calculate the number of peritonitis rate | follow up to week 60 |
| Hospitalization rate | calculate the number of hospitalization rate | follow up to week 60 |
| Change of telephone contact frequency | the telephone contact frequency (from patient to nurse) for peritoneal dialysis-related problems will be collected | baseline(between week 0 and 12) and 3 months(week 12 and week 24) |
| Background |
| Bernardini J, Piraino B. Compliance in CAPD and CCPD patients as measured by supply inventories during home visits. Am J Kidney Dis. 1998 Jan;31(1):101-7. doi: 10.1053/ajkd.1998.v31.pm9428459. |
| 9259694 | Background | The USRDS Dialysis Morbidity and Mortality Study: Wave 2. United States Renal Data System. Am J Kidney Dis. 1997 Aug;30(2 Suppl 1):S67-85. No abstract available. |
| 29694954 | Background | Milan Manani S, Crepaldi C, Giuliani A, Virzi GM, Garzotto F, Riello C, de Cal M, Rosner MH, Ronco C. Remote Monitoring of Automated Peritoneal Dialysis Improves Personalization of Dialytic Prescription and Patient's Independence. Blood Purif. 2018;46(2):111-117. doi: 10.1159/000487703. Epub 2018 Apr 25. |
| 30106369 | Background | Uchiyama K, Washida N, Yube N, Kasai T, Shinozuka K, Morimoto K, Hishikawa A, Inoue H, Urai H, Hagiwara A, Fujii K, Wakino S, Deenitchina S, Itoh H. The impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (APD): A simulation study . Clin Nephrol. 2018 Nov;90(5):334-340. doi: 10.5414/CN109471. |