Literature DB >> 35227823

A Cost-effectiveness Analysis of Adherence Promotion Strategies to Improve Rejection Rates in Adolescent Kidney Transplant Recipients.

Charles D Varnell1, Kristin L Rich2, Avani C Modi2, David K Hooper3, Mark H Eckman4.   

Abstract

RATIONALE &
OBJECTIVE: Nonadherence to medical regimens increases the risk of graft loss among adolescent and young adult recipients of kidney transplants. Interventions that improve adherence may decrease rejection rates, but their perceived costs are a barrier to clinical implementation. We developed a model to assess the cost-effectiveness of an adherence promotion strategy, the Medication Adherence Promotion System (MAPS). STUDY
DESIGN: Simulation-based. Data sources included published articles indexed in Medline or referenced in bibliographies of relevant English-language articles. Data on costs and outcomes were taken from a single clinical center. SETTING & POPULATION: US adolescent patients after their first kidney transplant. INTERVENTION: Usual posttransplant care versus usual care plus MAPS. OUTCOME: Effectiveness measured in quality-adjusted life years (QALYs) and costs measured in 2020 US dollars. MODEL, PERSPECTIVE, & TIMEFRAME: Markov state transition decision model. We used a health care system perspective with a lifelong time horizon.
RESULTS: In the base-case analysis, MAPS was more effective and less costly than usual care. MAPS cost $9,106 per patient less than usual care and resulted in a gain of 0.32 QALYs. In probabilistic sensitivity analyses, MAPS was cost saving 100% of the time. Extending results to a program level with 100 patients, any adherence promotion intervention similar in effectiveness to MAPS would cost less than $50,000/QALY if the start-up costs were <$2.5 million and annual costs <$188,000. Strategies with costs similar to MAPS that reduce the risk of rejection by as little as 3% would also have similar cost-effectiveness. LIMITATIONS: Estimates of components and costs for MAPS were based on a single center.
CONCLUSIONS: Adherence promotion strategies with costs similar to MAPS can be cost-effective as long as they reduce rejection rates by at least 3%. This model can be applied to study the cost-effectiveness of adherence promotion strategies with varying costs and outcomes.
Copyright © 2022 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute rejection; adolescents; allograft loss; cost-effectiveness analysis; decision analysis; end-stage kidney disease (ESKD); health care costs; immunosuppression; medication adherence programs; pediatrics; renal transplantation; treatment compliance

Mesh:

Year:  2022        PMID: 35227823      PMCID: PMC9398956          DOI: 10.1053/j.ajkd.2021.12.013

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   11.072


  45 in total

Review 1.  Antibody-mediated rejection, T cell-mediated rejection, and the injury-repair response: new insights from the Genome Canada studies of kidney transplant biopsies.

Authors:  Philip F Halloran; Jeff P Reeve; Andre B Pereira; Luis G Hidalgo; Konrad S Famulski
Journal:  Kidney Int       Date:  2013-08-21       Impact factor: 10.612

2.  Adherence to antiepileptic drugs in adolescents with epilepsy.

Authors:  Aimee W Smith; Constance A Mara; Avani C Modi
Journal:  Epilepsy Behav       Date:  2018-02-09       Impact factor: 2.937

3.  Adherence barriers in pediatric epilepsy: From toddlers to young adults.

Authors:  Ana M Gutierrez-Colina; Aimee W Smith; Constance A Mara; Avani C Modi
Journal:  Epilepsy Behav       Date:  2018-02-09       Impact factor: 2.937

4.  Multicomponent interventions improve adherence-Where do we go from here?

Authors:  Bethany J Foster
Journal:  Am J Transplant       Date:  2019-10-30       Impact factor: 8.086

5.  Practice patterns and outcomes in retransplantation among pediatric kidney transplant recipients.

Authors:  Kyle J Van Arendonk; Jacqueline M Garonzik Wang; Neha A Deshpande; Nathan T James; Jodi M Smith; Robert A Montgomery; Paul M Colombani; Dorry L Segev
Journal:  Transplantation       Date:  2013-06-15       Impact factor: 4.939

6.  Health-related quality of life and estimates of utility in chronic kidney disease.

Authors:  Irina Gorodetskaya; Stefanos Zenios; Charles E McCulloch; Alan Bostrom; Chi-Yuan Hsu; Andrew B Bindman; Alan S Go; Glenn M Chertow
Journal:  Kidney Int       Date:  2005-12       Impact factor: 10.612

7.  Quantifying renal allograft loss following early antibody-mediated rejection.

Authors:  B J Orandi; E H K Chow; A Hsu; N Gupta; K J Van Arendonk; J M Garonzik-Wang; J R Montgomery; C Wickliffe; B E Lonze; S M Bagnasco; N Alachkar; E S Kraus; A M Jackson; R A Montgomery; D L Segev
Journal:  Am J Transplant       Date:  2015-01-21       Impact factor: 8.086

8.  Interventions for improving medication-taking ability and adherence in older adults prescribed multiple medications.

Authors:  Amanda J Cross; Rohan A Elliott; Kate Petrie; Lisha Kuruvilla; Johnson George
Journal:  Cochrane Database Syst Rev       Date:  2020-05-08

Review 9.  Recommended Treatment for Antibody-mediated Rejection After Kidney Transplantation: The 2019 Expert Consensus From the Transplantion Society Working Group.

Authors:  Carrie A Schinstock; Roslyn B Mannon; Klemens Budde; Anita S Chong; Mark Haas; Stuart Knechtle; Carmen Lefaucheur; Robert A Montgomery; Peter Nickerson; Stefan G Tullius; Curie Ahn; Medhat Askar; Marta Crespo; Steven J Chadban; Sandy Feng; Stanley C Jordan; Kwan Man; Michael Mengel; Randall E Morris; Inish O'Doherty; Binnaz H Ozdemir; Daniel Seron; Anat R Tambur; Kazunari Tanabe; Jean-Luc Taupin; Philip J O'Connell
Journal:  Transplantation       Date:  2020-05       Impact factor: 5.385

10.  A Medication Adherence Promotion System to Reduce Late Kidney Allograft Rejection: A Quality Improvement Study.

Authors:  David K Hooper; Charles D Varnell; Kristin Rich; Adam Carle; John Huber; Farida Mostajabi; Devesh Dahale; Ahna L H Pai; Jens Goebel; Avani C Modi
Journal:  Am J Kidney Dis       Date:  2021-08-03       Impact factor: 8.860

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