Literature DB >> 11010603

Long-term treatment of multiple sclerosis with interferon-beta may be cost effective.

M Kendrick1, K I Johnson.   

Abstract

Multiple sclerosis (MS) is a devastating disease that can occur in early life, progressing to rapid disability and loss of physical, psychosocial and economic functioning, significantly affecting quality of life. The traditional treatment for MS has been symptomatic, treating acute relapses without affecting the underlying disease. The introduction of interferon-beta (IFN beta) has offered significant clinical benefits by reducing the frequency of relapses and slowing disease progression. Although the costs of this treatment are high, the costs to society of caring for a patient disabled by MS are greater, and if IFN beta can delay disease progression in the longer term, the economic impact would be substantial. Previous pharmacoeconomic studies of IFN beta have suggested that benefits can only be achieved at extremely high cost, with reported cost-effectiveness measures of up to 1 million pounds sterling (Pound) per quality-adjusted life year (QALY) [1995 values]. However, these studies have considered only the short term benefits of IFN beta treatment: over 2 to 3 years, the impact of treatment on patients' quality of life is relatively small, and cost-utility analyses that do not consider longer term benefits nor include societal costs may be misleading. The model reported here is based on the hypothesis that the delay in disease progression seen in short term clinical trials is likely to continue if treatment is continued. The model also assumes that the delay in disease progression, which represents a reduction in brain atrophy, will result in lasting clinical benefits even if treatment is stopped. These assumptions are strongly supported by clinical trial data and the treatment hypothesis itself. A delay in disease progression will result in a significant improvement in functioning and quality of life, and if the costs associated with increased disability can be postponed, even long term treatment of MS with IFN beta can be shown to be cost effective. Using resource utilisation costs derived from an economic evaluation of MS in the UK, it was possible to calculate the impact of delaying disease progression in terms of both health service and societal costs. An estimate of mean disease progression in patients with MS treated with IFN beta-1a compared with patients who did not receive disease-modifying agents suggested that significant cost savings would be realised after about 12 years' treatment with IFN beta-1a. The application of utility scores to the disease progression curves also facilitated estimates of cost effectiveness, with cost per QALY values ranging from 27,036 Pounds after 2 years' treatment with IFN beta-1a to 37,845 Pounds after 20 years' treatment (1995 values).

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Year:  2000        PMID: 11010603     DOI: 10.2165/00019053-200018010-00005

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  14 in total

1.  EuroQol--a new facility for the measurement of health-related quality of life.

Authors: 
Journal:  Health Policy       Date:  1990-12       Impact factor: 2.980

2.  Population based cost utility study of interferon beta-1b in secondary progressive multiple sclerosis.

Authors:  R B Forbes; A Lees; N Waugh; R J Swingler
Journal:  BMJ       Date:  1999-12-11

3.  A cost-utility analysis of interferon beta for multiple sclerosis.

Authors:  D Parkin; P McNamee; A Jacoby; P Miller; S Thomas; D Bates
Journal:  Health Technol Assess       Date:  1998       Impact factor: 4.014

Review 4.  Mechanisms of action of interferon-beta in multiple sclerosis.

Authors:  B G Arnason; A Dayal; Z X Qu; M A Jensen; K Genç; A T Reder
Journal:  Springer Semin Immunopathol       Date:  1996

5.  The natural history of multiple sclerosis: a geographically based study. I. Clinical course and disability.

Authors:  B G Weinshenker; B Bass; G P Rice; J Noseworthy; W Carriere; J Baskerville; G C Ebers
Journal:  Brain       Date:  1989-02       Impact factor: 13.501

6.  Use of the brain parenchymal fraction to measure whole brain atrophy in relapsing-remitting MS. Multiple Sclerosis Collaborative Research Group.

Authors:  R A Rudick; E Fisher; J C Lee; J Simon; L Jacobs
Journal:  Neurology       Date:  1999-11-10       Impact factor: 9.910

7.  Randomised, double blind, placebo controlled study of interferon beta-1a in relapsing-remitting multiple sclerosis analysed by area under disability/time curves.

Authors:  C Liu; L D Blumhardt
Journal:  J Neurol Neurosurg Psychiatry       Date:  1999-10       Impact factor: 10.154

8.  A comprehensive assessment of the cost of multiple sclerosis in the United States.

Authors:  K Whetten-Goldstein; F A Sloan; L B Goldstein; E D Kulas
Journal:  Mult Scler       Date:  1998-10       Impact factor: 6.312

9.  Intramuscular interferon beta-1a for disease progression in relapsing multiple sclerosis. The Multiple Sclerosis Collaborative Research Group (MSCRG)

Authors:  L D Jacobs; D L Cookfair; R A Rudick; R M Herndon; J R Richert; A M Salazar; J S Fischer; D E Goodkin; C V Granger; J H Simon; J J Alam; D M Bartoszak; D N Bourdette; J Braiman; C M Brownscheidle; M E Coats; S L Cohan; D S Dougherty; R P Kinkel; M K Mass; F E Munschauer; R L Priore; P M Pullicino; B J Scherokman; R H Whitham
Journal:  Ann Neurol       Date:  1996-03       Impact factor: 10.422

10.  Health care costs of veterans with multiple sclerosis: implications for the rehabilitation of MS. VA Multiple Sclerosis Rehabilitation Study Group.

Authors:  D N Bourdette; A V Prochazka; W Mitchell; P Licari; J Burks
Journal:  Arch Phys Med Rehabil       Date:  1993-01       Impact factor: 3.966

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  13 in total

Review 1.  Good practice guidelines for decision-analytic modelling in health technology assessment: a review and consolidation of quality assessment.

Authors:  Zoë Philips; Laura Bojke; Mark Sculpher; Karl Claxton; Su Golder
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

2.  Cost-effectiveness of disease-modifying therapy for multiple sclerosis: a population-based study.

Authors:  K Noyes; A Bajorska; A Chappel; S R Schwid; L R Mehta; B Weinstock-Guttman; R G Holloway; A W Dick
Journal:  Neurology       Date:  2011-07-20       Impact factor: 9.910

3.  A comparison of health utility measures for the evaluation of multiple sclerosis treatments.

Authors:  J D Fisk; M G Brown; I S Sketris; L M Metz; T J Murray; K J Stadnyk
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-01       Impact factor: 10.154

Review 4.  Cost-effectiveness of disease-modifying therapies in multiple sclerosis.

Authors:  Ali Manouchehrinia; Cris S Constantinescu
Journal:  Curr Neurol Neurosci Rep       Date:  2012-10       Impact factor: 5.081

5.  Optic Neuritis.

Authors:  Laura J. Balcer
Journal:  Curr Treat Options Neurol       Date:  2001-07       Impact factor: 3.598

Review 6.  The cost of multiple sclerosis and the cost effectiveness of disease-modifying agents in its treatment.

Authors:  Ceri J Phillips
Journal:  CNS Drugs       Date:  2004       Impact factor: 5.749

7.  Cost-analysis of relapsing-remitting multiple sclerosis in Italy after the introduction of new disease-modifying agents.

Authors:  Pierluigi Russo; Alessandro Capone; Andrea Paolillo; Francesco Macchia; Federica Ranzato; Gianfranco Costantino; Luca Degli sposti; Luciano Caprino
Journal:  Clin Drug Investig       Date:  2004       Impact factor: 2.859

8.  Long-Term Cost Effectiveness of Interferon-beta-1a in the Treatment of Relapsing-Remitting Multiple Sclerosis : An Econometric Model.

Authors:  Claude Lepen; Patricia Coyle; Timothy Vollmer; Lance Blumhardt; Hervé Lilliu; Ariel Beresniak
Journal:  Clin Drug Investig       Date:  2003       Impact factor: 2.859

9.  Disease-modifying Therapies for Multiple Sclerosis.

Authors:  John R. Corboy; Douglas S. Goodin; Elliot M. Frohman
Journal:  Curr Treat Options Neurol       Date:  2003-01       Impact factor: 3.598

Review 10.  Modelling the cost effectiveness of disease-modifying treatments for multiple sclerosis: issues to consider.

Authors:  Joel P Thompson; Amir Abdolahi; Katia Noyes
Journal:  Pharmacoeconomics       Date:  2013-06       Impact factor: 4.981

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