Literature DB >> 34711359

Challenging Assumptions of Outcomes and Costs Comparing Peritoneal and Hemodialysis.

Eugene Lin1, Khristina I Lung2, Glenn M Chertow3, Jay Bhattacharya4, Darius Lakdawalla5.   

Abstract

OBJECTIVES: Policy makers have suggested increasing peritoneal dialysis (PD) would improve end-stage kidney disease (ESKD) outcomes and reduce Medicare spending compared with hemodialysis (HD). We compared mortality, hospitalizations, and Medicare spending between PD and HD among uninsured adults with incident ESKD.
METHODS: Using an instrumental variable design, we exploited a natural experiment encouraging PD among the uninsured. Uninsured patients usually receive Medicare at dialysis month 4. For those initiating PD, Medicare covers the first 3 dialysis months, including predialysis services in the calendar month when dialysis started. Starting dialysis later in a calendar month increases predialysis coverage that is essential for PD catheter placements. The policy encourages PD incrementally when ESKD develops later in the month. Dialysis start day appears to be unrelated to patient characteristics and effectively "randomizes patients" to dialysis modality, mitigating selection bias.
RESULTS: Starting dialysis later in the month was associated with an increased PD uptake: every week later in the month was associated with an absolute increase of 0.8% (95% confidence interval [CI] 0.6%-0.9%) at dialysis day 1 and 0.5% (95% CI 0.3%-0.7%) at dialysis month 12. We observed no significant absolute difference between PD and HD for 12-month mortality (-0.9%, 95% CI -3.3% to 0.8%), hospitalizations during months 7 to 12 (-0.05, 95% CI -0.20 to 0.07), and Medicare spending during months 7 to 12 (-$702, 95% CI -$4004 to $2909).
CONCLUSIONS: In an instrumental variable analysis, PD did not result in improved outcomes or lower costs than HD.
Copyright © 2021 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  costs; hemodialysis; instrumental variable; mortality; peritoneal dialysis

Mesh:

Year:  2021        PMID: 34711359      PMCID: PMC8562882          DOI: 10.1016/j.jval.2021.05.017

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.101


  30 in total

1.  Validation of comorbid conditions on the end-stage renal disease medical evidence report: the CHOICE study. Choices for Healthy Outcomes in Caring for ESRD.

Authors:  J Craig Longenecker; Josef Coresh; Michael J Klag; Andrew S Levey; Alice A Martin; Nancy E Fink; Neil R Powe
Journal:  J Am Soc Nephrol       Date:  2000-03       Impact factor: 10.121

2.  A Randomized Controlled Trial to Determine the Appropriate Time to Initiate Peritoneal Dialysis after Insertion of Catheter (Timely PD Study).

Authors:  Dwarakanathan Ranganathan; George T John; Edward Yeoh; Nicola Williams; Barry O'Loughlin; Thin Han; Lakshmanan Jeyaseelan; Kavitha Ramanathan; Helen Healy
Journal:  Perit Dial Int       Date:  2017-04-13       Impact factor: 1.756

3.  Patient awareness and initiation of peritoneal dialysis.

Authors:  Nancy G Kutner; Rebecca Zhang; Yijian Huang; Haimanot Wasse
Journal:  Arch Intern Med       Date:  2010-09-27

4.  Bootstrap inference when using multiple imputation.

Authors:  Michael Schomaker; Christian Heumann
Journal:  Stat Med       Date:  2018-04-16       Impact factor: 2.373

5.  Medicare Program; End-Stage Renal Disease Prospective Payment System, Payment for Renal Dialysis Services Furnished to Individuals With Acute Kidney Injury, and End-Stage Renal Disease Quality Incentive Program. Final rule.

Authors: 
Journal:  Fed Regist       Date:  2017-11-01

6.  Risk of death in elderly users of conventional vs. atypical antipsychotic medications.

Authors:  Philip S Wang; Sebastian Schneeweiss; Jerry Avorn; Michael A Fischer; Helen Mogun; Daniel H Solomon; M Alan Brookhart
Journal:  N Engl J Med       Date:  2005-12-01       Impact factor: 91.245

7.  Effect of starting with hemodialysis compared with peritoneal dialysis in patients new on dialysis treatment: a randomized controlled trial.

Authors:  Johanna C Korevaar; G W Feith; Friedo W Dekker; Jeannette G van Manen; Elisabeth W Boeschoten; Patrick M M Bossuyt; Raymond T Krediet
Journal:  Kidney Int       Date:  2003-12       Impact factor: 10.612

8.  Early Delays in Insurance Coverage and Long-term Use of Home-based Peritoneal Dialysis.

Authors:  Eugene Lin; Glenn M Chertow; Jay Bhattacharya; Darius Lakdawalla
Journal:  Med Care       Date:  2020-07       Impact factor: 3.178

9.  The financial impact of increasing home-based high dose haemodialysis and peritoneal dialysis.

Authors:  Frank Xiaoqing Liu; Catrin Treharne; Bruce Culleton; Lydia Crowe; Murat Arici
Journal:  BMC Nephrol       Date:  2014-10-02       Impact factor: 2.388

10.  Combining multiple imputation and bootstrap in the analysis of cost-effectiveness trial data.

Authors:  Jaap Brand; Stef van Buuren; Saskia le Cessie; Wilbert van den Hout
Journal:  Stat Med       Date:  2018-09-12       Impact factor: 2.373

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  2 in total

Review 1.  Cost Barriers to More Widespread Use of Peritoneal Dialysis in the United States.

Authors:  Elliot A Baerman; Jennifer Kaplan; Jenny I Shen; Wolfgang C Winkelmayer; Kevin F Erickson
Journal:  J Am Soc Nephrol       Date:  2022-03-21       Impact factor: 14.978

Review 2.  Peritoneal Dialysis for Potential Kidney Transplant Recipients: Pride or Prejudice?

Authors:  Luca Nardelli; Antonio Scalamogna; Piergiorgio Messa; Maurizio Gallieni; Roberto Cacciola; Federica Tripodi; Giuseppe Castellano; Evaldo Favi
Journal:  Medicina (Kaunas)       Date:  2022-02-01       Impact factor: 2.430

  2 in total

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