Literature DB >> 28401120

Estimating patient-borne water and electricity costs in home hemodialysis: a simulation.

Matthew Nickel1, Wes Rideout1, Nikhil Shah1, Frances Reintjes1, Justin Z Chen1, Robert Burrell1, Robert P Pauly1.   

Abstract

BACKGROUND: Home hemodialysis is associated with lower costs to the health care system compared with conventional facility-based hemodialysis because of lower staffing and overhead costs, and by transferring the treatment cost of utilities (water and power) to the patient. The purpose of this study was to determine the utility costs of home hemodialysis and create a formula such that patients and renal programs can estimate the annual patient-borne costs involved with this type of treatment.
METHODS: Seven common combinations of treatment duration and dialysate flows were replicated 5 times using various combinations of home hemodialysis and reverse osmosis machines. Real-time utility (electricity and water) consumption was monitored during these simulations. A generic formula was developed to allow patients and programs to calculate a more precise estimate of utility costs based on individual combinations of dialysis intensity, frequency and utility costs unique to any patient.
RESULTS: Using typical 2014 utility costs for Edmonton, the most expensive prescription was for nocturnal home hemodialysis (8 h at 300 mL/min, 6 d/wk), which resulted in a utility cost of $1269 per year; the least expensive prescription was for conventional home hemodialysis (4 h at 500 mL/min, 3 d/wk), which cost $420 per year. Water consumption makes up most of this expense, with electricity accounting for only 12% of the cost.
INTERPRETATION: We show that a substantial cost burden is transferred to the patient on home hemodialysis, which would otherwise be borne by the renal program.

Entities:  

Year:  2017        PMID: 28401120      PMCID: PMC5378499          DOI: 10.9778/cmajo.20160108

Source DB:  PubMed          Journal:  CMAJ Open        ISSN: 2291-0026


  15 in total

1.  The case for daily dialysis: its impact on costs and quality of life.

Authors:  P E Mohr; P J Neumann; S J Franco; J Marainen; R Lockridge; G Ting
Journal:  Am J Kidney Dis       Date:  2001-04       Impact factor: 8.860

2.  Survival in daily home hemodialysis and matched thrice-weekly in-center hemodialysis patients.

Authors:  Eric D Weinhandl; Jiannong Liu; David T Gilbertson; Thomas J Arneson; Allan J Collins
Journal:  J Am Soc Nephrol       Date:  2012-02-23       Impact factor: 10.121

Review 3.  Daily hemodialysis: a systematic review.

Authors:  Rita S Suri; Gihad E Nesrallah; Rahul Mainra; Amit X Garg; Robert M Lindsay; Tom Greene; John T Daugirdas
Journal:  Clin J Am Soc Nephrol       Date:  2005-11-16       Impact factor: 8.237

4.  The cost of renal dialysis in a UK setting--a multicentre study.

Authors:  Keshwar Baboolal; Philip McEwan; Seema Sondhi; Piotr Spiewanowski; Jaroslaw Wechowski; Karen Wilson
Journal:  Nephrol Dial Transplant       Date:  2008-01-03       Impact factor: 5.992

5.  Intensive hemodialysis associates with improved survival compared with conventional hemodialysis.

Authors:  Gihad E Nesrallah; Robert M Lindsay; Meaghan S Cuerden; Amit X Garg; Friedrich Port; Peter C Austin; Louise M Moist; Andreas Pierratos; Christopher T Chan; Deborah Zimmerman; Robert S Lockridge; Cécile Couchoud; Charles Chazot; Norma Ofsthun; Adeera Levin; Michael Copland; Mark Courtney; Andrew Steele; Philip A McFarlane; Denis F Geary; Robert P Pauly; Paul Komenda; Rita S Suri
Journal:  J Am Soc Nephrol       Date:  2012-02-23       Impact factor: 10.121

6.  The cost of starting and maintaining a large home hemodialysis program.

Authors:  Paul Komenda; Michael Copland; Jay Makwana; Ogdjenka Djurdjev; Manish M Sood; Adeera Levin
Journal:  Kidney Int       Date:  2010-03-10       Impact factor: 10.612

7.  Cost savings of home nocturnal versus conventional in-center hemodialysis.

Authors:  Philip A McFarlane; Andreas Pierratos; Donald A Redelmeier
Journal:  Kidney Int       Date:  2002-12       Impact factor: 10.612

8.  An operating cost comparison between conventional and home quotidian hemodialysis.

Authors:  Andrew Kroeker; William F Clark; A Paul Heidenheim; Louise Kuenzig; Rosemary Leitch; Michael Meyette; Norman Muirhead; Heather Ryan; Randy Welch; Sharon White; Robert M Lindsay
Journal:  Am J Kidney Dis       Date:  2003-07       Impact factor: 8.860

9.  Economic evaluation of frequent home nocturnal hemodialysis based on a randomized controlled trial.

Authors:  Scott Klarenbach; Marcello Tonelli; Robert Pauly; Michael Walsh; Bruce Culleton; Helen So; Brenda Hemmelgarn; Braden Manns
Journal:  J Am Soc Nephrol       Date:  2013-11-14       Impact factor: 10.121

10.  An economic assessment model for in-center, conventional home, and more frequent home hemodialysis.

Authors:  Paul Komenda; Meghan B Gavaghan; Susan S Garfield; Amy W Poret; Manish M Sood
Journal:  Kidney Int       Date:  2011-10-12       Impact factor: 10.612

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  6 in total

1.  Sources of Variation in the Carbon Footprint of Hemodialysis Treatment.

Authors:  Ashwini R Sehgal; Jonathan E Slutzman; Anne M Huml
Journal:  J Am Soc Nephrol       Date:  2022-06-02       Impact factor: 14.978

Review 2.  Cost Controversies of a "Home Dialysis First" Policy.

Authors:  Drew Hager; Thomas William Ferguson; Paul Komenda
Journal:  Can J Kidney Health Dis       Date:  2019-08-30

3.  Costs of Assisted Home Dialysis: A Single-Payer Canadian Model From Manitoba.

Authors:  Ryan J Bamforth; Alain Beaudry; Thomas W Ferguson; Claudio Rigatto; Navdeep Tangri; Clara Bohm; Paul Komenda
Journal:  Kidney Med       Date:  2021-07-07

Review 4.  Cost of the quanta SC+ hemodialysis system for self-care in the United Kingdom.

Authors:  Thomas W Ferguson; Gerard D Harper; John E Milad; Paul V J Komenda
Journal:  Hemodial Int       Date:  2022-01-09       Impact factor: 1.543

5.  The impact of a remote monitoring system of healthcare resource consumption in patients on automated peritoneal dialysis (APD): A simulation study
.

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

6.  Patient-reported factors influencing the choice of their kidney replacement treatment modality.

Authors:  Rianne W de Jong; Vianda S Stel; Axel Rahmel; Mark Murphy; Raymond C Vanholder; Ziad A Massy; Kitty J Jager
Journal:  Nephrol Dial Transplant       Date:  2022-02-25       Impact factor: 5.992

  6 in total

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