Literature DB >> 26297087

Cost-Effectiveness of Repetitive Transcranial Magnetic Stimulation versus Antidepressant Therapy for Treatment-Resistant Depression.

Kim-Huong Nguyen1, Louisa G Gordon2.   

Abstract

BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) therapy is a clinically safe, noninvasive, nonsystemic treatment for major depressive disorder.
OBJECTIVE: We evaluated the cost-effectiveness of rTMS versus pharmacotherapy for the treatment of patients with major depressive disorder who have failed at least two adequate courses of antidepressant medications.
METHODS: A 3-year Markov microsimulation model with 2-monthly cycles was used to compare the costs and quality-adjusted life-years (QALYs) of rTMS and a mix of antidepressant medications (including selective serotonin reuptake inhibitors, serotonin and norepinephrine reuptake inhibitors, tricyclics, noradrenergic and specific serotonergic antidepressants, and monoamine oxidase inhibitors). The model synthesized data sourced from published literature, national cost reports, and expert opinions. Incremental cost-utility ratios were calculated, and uncertainty of the results was assessed using univariate and multivariate probabilistic sensitivity analyses.
RESULTS: Compared with pharmacotherapy, rTMS is a dominant/cost-effective alternative for patients with treatment-resistant depressive disorder. The model predicted that QALYs gained with rTMS were higher than those gained with antidepressant medications (1.25 vs. 1.18 QALYs) while costs were slightly less (AU $31,003 vs. AU $31,190). In the Australian context, at the willingness-to-pay threshold of AU $50,000 per QALY gain, the probability that rTMS was cost-effective was 73%. Sensitivity analyses confirmed the superiority of rTMS in terms of value for money compared with antidepressant medications.
CONCLUSIONS: Although both pharmacotherapy and rTMS are clinically effective treatments for major depressive disorder, rTMS is shown to outperform antidepressants in terms of cost-effectiveness for patients who have failed at least two adequate courses of antidepressant medications.
Copyright © 2015 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Markov model; antidepressant; cost effectiveness analysis; economic evaluation; microsimulation; repetitive transcranial magnetic stimulation

Mesh:

Substances:

Year:  2015        PMID: 26297087     DOI: 10.1016/j.jval.2015.04.004

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  18 in total

Review 1.  Challenges of differential placebo effects in contemporary medicine: The example of brain stimulation.

Authors:  Matthew J Burke; Ted J Kaptchuk; Alvaro Pascual-Leone
Journal:  Ann Neurol       Date:  2019-01-08       Impact factor: 10.422

2.  Consensus Recommendations for the Clinical Application of Repetitive Transcranial Magnetic Stimulation (rTMS) in the Treatment of Depression.

Authors:  Shawn M McClintock; Irving M Reti; Linda L Carpenter; William M McDonald; Marc Dubin; Stephan F Taylor; Ian A Cook; John O'Reardon; Mustafa M Husain; Christopher Wall; Andrew D Krystal; Shirlene M Sampson; Oscar Morales; Brent G Nelson; Vassilios Latoussakis; Mark S George; Sarah H Lisanby
Journal:  J Clin Psychiatry       Date:  2018 Jan/Feb       Impact factor: 4.384

3.  Repetitive transcranial magnetic stimulation may be a cost-effective alternative to antidepressant therapy after two treatment failures in patients with major depressive disorder.

Authors:  Antal Zemplényi; Judit Józwiak-Hagymásy; Sándor Kovács; Dalma Erdősi; Imre Boncz; Tamás Tényi; Péter Osváth; Viktor Voros
Journal:  BMC Psychiatry       Date:  2022-06-28       Impact factor: 4.144

Review 4.  Appraisal of patient-level health economic models of severe mental illness: systematic review.

Authors:  James Altunkaya; Jung-Seok Lee; Apostolos Tsiachristas; Felicity Waite; Daniel Freeman; José Leal
Journal:  Br J Psychiatry       Date:  2021-08-19       Impact factor: 9.319

5.  Repetitive Transcranial Magnetic Stimulation for People With Treatment-Resistant Depression: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2021-05-06

Review 6.  Model-Based Economic Evaluation of Treatments for Depression: A Systematic Literature Review.

Authors:  Spyros Kolovos; Judith E Bosmans; Heleen Riper; Karine Chevreul; Veerle M H Coupé; Maurits W van Tulder
Journal:  Pharmacoecon Open       Date:  2017-09

7.  A systematic literature review of the clinical efficacy of repetitive transcranial magnetic stimulation (rTMS) in non-treatment resistant patients with major depressive disorder.

Authors:  Jeffrey Voigt; Linda Carpenter; Andrew Leuchter
Journal:  BMC Psychiatry       Date:  2019-01-08       Impact factor: 3.630

8.  Cost effectiveness analysis comparing repetitive transcranial magnetic stimulation to antidepressant medications after a first treatment failure for major depressive disorder in newly diagnosed patients - A lifetime analysis.

Authors:  Jeffrey Voigt; Linda Carpenter; Andrew Leuchter
Journal:  PLoS One       Date:  2017-10-26       Impact factor: 3.240

9.  Cost-utility analysis of curative and maintenance repetitive transcranial magnetic stimulation (rTMS) for treatment-resistant unipolar depression: a randomized controlled trial protocol.

Authors:  Samuel Bulteau; Andrew Laurin; Christelle Volteau; Cécile Dert; Lydie Lagalice; Solène Schirr-Bonnans; Nicolas Bukowski; Marie Guitteny; Luc Simons; Clémence Cabelguen; Anne Pichot; Fabienne Tessier; Annabelle Bonnin; Adeline Lepage; Jean-Marie Vanelle; Anne Sauvaget; Valery-Pierre Riche
Journal:  Trials       Date:  2020-04-05       Impact factor: 2.279

10.  An electroencephalographic signature predicts antidepressant response in major depression.

Authors:  Madhukar H Trivedi; Amit Etkin; Wei Wu; Yu Zhang; Jing Jiang; Molly V Lucas; Gregory A Fonzo; Camarin E Rolle; Crystal Cooper; Cherise Chin-Fatt; Noralie Krepel; Carena A Cornelssen; Rachael Wright; Russell T Toll; Hersh M Trivedi; Karen Monuszko; Trevor L Caudle; Kamron Sarhadi; Manish K Jha; Joseph M Trombello; Thilo Deckersbach; Phil Adams; Patrick J McGrath; Myrna M Weissman; Maurizio Fava; Diego A Pizzagalli; Martijn Arns
Journal:  Nat Biotechnol       Date:  2020-02-10       Impact factor: 54.908

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