Literature DB >> 18371540

Travel time to dialysis as a predictor of health-related quality of life, adherence, and mortality: the Dialysis Outcomes and Practice Patterns Study (DOPPS).

Louise M Moist1, Jennifer L Bragg-Gresham, Ronald L Pisoni, Rajiv Saran, Takashi Akiba, Stefan H Jacobson, Shunichi Fukuhara, Donna L Mapes, Hugh C Rayner, Akira Saito, Friedrich K Port.   

Abstract

BACKGROUND: Longer travel time to the dialysis unit creates a substantial burden for many patients. This study evaluated the effect of self-reported 1-way travel time to hemodialysis on mortality, health-related quality of life (HR-QOL), adherence, withdrawal from dialysis therapy, hospitalization, and transplantation. STUDY
DESIGN: Prospective observational cohort. SETTING & PARTICIPANTS: Patients enrolled in the Dialysis Outcomes and Practices Patterns Study who completed a patient questionnaire (n = 20,994). PREDICTOR: One-way travel time to hemodialysis treatment, categorized as 15 or less, 16 to 30, 31 to 60, and longer than 60 minutes. Covariates included demographics, comorbid conditions, serum albumin level, time on dialysis therapy, and country. OUTCOME & MEASUREMENT: HR-QOL was examined by using a linear mixed model. Cox proportional hazards regression was used to examine associations with mortality, withdrawal from dialysis therapy, hospitalization, and transplantation.
RESULTS: Longer travel time was associated with greater adjusted relative risk (RR) of death (P = 0.05 for overall trend). Adjusted HR-QOL subscales were significantly lower for those with longer travel times compared with those traveling 15 minutes or less. There were no associations of travel time with withdrawal from dialysis therapy (P = 0.6), hospitalization (P = 0.4), or transplantation (P = 0.7). LIMITATIONS: The questionnaire nonresponse rate was substantial, and nonresponders were older, with more comorbid conditions. Travel time was assessed by using a single nonvalidated question.
CONCLUSIONS: Longer travel time is associated significantly with greater mortality risk and decreased HR-QOL. Exploring opportunities to decrease travel time should be incorporated into the dialysis clinical routine.

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Year:  2008        PMID: 18371540     DOI: 10.1053/j.ajkd.2007.12.021

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


  47 in total

1.  Adverse outcomes among Aboriginal patients receiving peritoneal dialysis.

Authors:  Manish M Sood; Paul Komenda; Amy R Sood; Martina Reslerova; Mauro Verrelli; Chris Sathianathan; Loretta Eng; Amanda Eng; Claudio Rigatto
Journal:  CMAJ       Date:  2010-07-26       Impact factor: 8.262

2.  Dialysis modality after renal transplant failure.

Authors:  Clare Castledine; Fergus J Caskey
Journal:  Perit Dial Int       Date:  2013 Nov-Dec       Impact factor: 1.756

Review 3.  [Peritoneal dialysis--an ideal initial dialysis mode].

Authors:  Heidi Puttinger
Journal:  Wien Med Wochenschr       Date:  2013-07-02

4.  Arteriovenous Fistula Maturation in Prevalent Hemodialysis Patients in the United States: A National Study.

Authors:  Kenneth J Woodside; Sarah Bell; Purna Mukhopadhyay; Kaitlyn J Repeck; Ian T Robinson; Ashley R Eckard; Sudipta Dasmunshi; Brett W Plattner; Jeffrey Pearson; Douglas E Schaubel; Ronald L Pisoni; Rajiv Saran
Journal:  Am J Kidney Dis       Date:  2018-02-09       Impact factor: 8.860

5.  Neighborhood location, rurality, geography, and outcomes of peritoneal dialysis patients in the United States.

Authors:  Rajnish Mehrotra; Kenneth Story; Steven Guest; Michelle Fedunyszyn
Journal:  Perit Dial Int       Date:  2011-12-01       Impact factor: 1.756

Review 6.  Pro and con arguments in using alternative dialysis regimens in the frail and elderly patients.

Authors:  Charles Chazot; Ken Farrington; Ionut Nistor; Wim Van Biesen; Hanneke Joosten; Daniel Teta; Dimitrie Siriopol; Adrian Covic
Journal:  Int Urol Nephrol       Date:  2015-09-16       Impact factor: 2.370

7.  Temporal trends in health-related quality of life among hemodialysis patients in the United States.

Authors:  Ezra Gabbay; Klemens B Meyer; John L Griffith; Michelle M Richardson; Dana C Miskulin
Journal:  Clin J Am Soc Nephrol       Date:  2009-12-17       Impact factor: 8.237

8.  A comparison of quality of life and travel-related factors between in-center and satellite-based hemodialysis patients.

Authors:  Michael J Diamant; Lori Harwood; Sujana Movva; Barbara Wilson; Larry Stitt; Robert M Lindsay; Louise M Moist
Journal:  Clin J Am Soc Nephrol       Date:  2009-12-17       Impact factor: 8.237

9.  Quality of life and emotional distress between patients on peritoneal dialysis versus community-based hemodialysis.

Authors:  K Griva; A W Kang; Z L Yu; N K Mooppil; M Foo; Choong Meng Chan; S P Newman
Journal:  Qual Life Res       Date:  2013-05-21       Impact factor: 4.147

10.  Impacts of Geographic Distance on Peritoneal Dialysis Utilization: Refining Models of Treatment Selection.

Authors:  Virginia Wang; Matthew L Maciejewski; Cynthia J Coffman; Linda L Sanders; Shoou-Yih Daniel Lee; Richard Hirth; Joseph Messana
Journal:  Health Serv Res       Date:  2016-04-07       Impact factor: 3.402

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