Literature DB >> 10845824

Pattern of noncompliance with dialysis exchanges in peritoneal dialysis patients.

J Bernardini1, M Nagy, B Piraino.   

Abstract

The purpose of the study is to evaluate the pattern of noncompliance in peritoneal dialysis (PD) patients using home visit supply inventories. Ninety-two patients were enrolled at the start of dialysis. Noncompliance, defined as performance of less than 90% of prescribed exchanges, was found in 30% of patients during the first 6 months of PD. Patients who were noncompliant with prescribed exchanges at the start of PD had greater rates of death (P = 0.03), transfer to hemodialysis secondary to uremia (P < 0.05), hospitalization (P < 0.001), and days hospitalized (P < 0.001) compared with compliant patients. Delivered Kt/V was 18% less in noncompliant compared with compliant patients (2.1 versus 2.57; P = 0.007). Serial evaluations of compliance in 53 patients showed that 72% were consistently compliant, 2% were consistently noncompliant, 15% were noncompliant at the beginning of PD but became compliant at follow-up, and 11% were intermittently noncompliant. The likelihood of future compliance in a patient compliant at the first home visit was 88%. Patients who were independent with their dialysis exchanges were more likely to be noncompliant (27%) than patients dependent on someone else to perform their dialysis (8%; P = 0.05). Serial 24 hour creatinine excretion was not a useful method to determine compliance. We recommend a home visit during the first 6 months of PD to determine compliance. Those found compliant probably do not need repeated evaluations, whereas noncompliant patients should be reevaluated in a few months. Involving another person in the dialysis might relieve some of the burden on patients who may be initially unable to cope with home dialysis. Identification of noncompliant patients and awareness of risk factors should reduce noncompliance and improve patient outcomes.

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Year:  2000        PMID: 10845824     DOI: 10.1016/s0272-6386(00)70047-3

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  17 in total

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Authors:  Mitchell H Rosner; Susie Q Lew; Paul Conway; Jennifer Ehrlich; Robert Jarrin; Uptal D Patel; Karen Rheuban; R Brooks Robey; Neal Sikka; Eric Wallace; Patrick Brophy; James Sloand
Journal:  Clin J Am Soc Nephrol       Date:  2017-07-14       Impact factor: 8.237

2.  Non-compliance to the continuous ambulatory peritoneal dialysis procedure increases the risk of peritonitis.

Authors:  Shashi Mawar; Sanjay Gupta; Sandeep Mahajan
Journal:  Int Urol Nephrol       Date:  2011-11-20       Impact factor: 2.370

3.  Adherence of pediatric patients to automated peritoneal dialysis.

Authors:  Annabelle N Chua; Bradley A Warady
Journal:  Pediatr Nephrol       Date:  2011-02-25       Impact factor: 3.714

4.  Hyperphosphatemia in children receiving peritoneal dialysis--an educational program.

Authors:  Richard T Blaszak; Mark M Mitsnefes; Mohammad Ilyas; Scarlett D Salman; Sue M Belcher; Debbie R Brady
Journal:  Pediatr Nephrol       Date:  2005-05-05       Impact factor: 3.714

5.  Rates of Intentional and Unintentional Nonadherence to Peritoneal Dialysis Regimes and Associated Factors.

Authors:  Zhen Li Yu; Vanessa Yin Woan Lee; Augustine Wee Cheng Kang; Sally Chan; Marjorie Foo; Choong Meng Chan; Konstadina Griva
Journal:  PLoS One       Date:  2016-02-26       Impact factor: 3.240

6.  Non-adherence in patients on peritoneal dialysis: a systematic review.

Authors:  Konstadina Griva; Alden Yuanhong Lai; Haikel Asyraf Lim; Zhenli Yu; Marjorie Wai Yin Foo; Stanton P Newman
Journal:  PLoS One       Date:  2014-02-25       Impact factor: 3.240

Review 7.  Chronic kidney disease and support provided by home care services: a systematic review.

Authors:  Sema K Aydede; Paul Komenda; Ognjenka Djurdjev; Adeera Levin
Journal:  BMC Nephrol       Date:  2014-07-18       Impact factor: 2.388

Review 8.  ISPD Peritonitis Recommendations: 2016 Update on Prevention and Treatment.

Authors:  Philip Kam-Tao Li; Cheuk Chun Szeto; Beth Piraino; Javier de Arteaga; Stanley Fan; Ana E Figueiredo; Douglas N Fish; Eric Goffin; Yong-Lim Kim; William Salzer; Dirk G Struijk; Isaac Teitelbaum; David W Johnson
Journal:  Perit Dial Int       Date:  2016-06-09       Impact factor: 1.756

9.  Remote Patient Management for Home Dialysis Patients.

Authors:  Eric L Wallace; Mitchell H Rosner; Mark Dominik Alscher; Claus Peter Schmitt; Arsh Jain; Francesca Tentori; Catherine Firanek; Karen S Rheuban; Jose Florez-Arango; Vivekanand Jha; Marjorie Foo; Koen de Blok; Mark R Marshall; Mauricio Sanabria; Timothy Kudelka; James A Sloand
Journal:  Kidney Int Rep       Date:  2017-07-29

10.  The impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (APD): A simulation study
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Authors:  Kiyotaka Uchiyama; Naoki Washida; Nobuyuki Yube; Takahiro Kasai; Keisuke Shinozuka; Kohkichi Morimoto; Akihito Hishikawa; Hiroyuki Inoue; Hidenori Urai; Aika Hagiwara; Kentaro Fujii; Shu Wakino; Souzana Deenitchina; Hiroshi Itoh
Journal:  Clin Nephrol       Date:  2018-11       Impact factor: 0.975

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