Cost-effectiveness analyses in multiple sclerosis: A review of modelling approaches

PharmacoEconomics

Volumn 32, Issue 6, 2014, Pages 559-572

  Guo, Shien ^a   Pelligra, Christopher ^a   Saint Laurent Thibault, Catherine ^a   Hernandez, Luis ^a   Kansal, Anuraag ^a  

^a EVIDERA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BETA1A INTERFERON; FINGOLIMOD; FUMARIC ACID DIMETHYL ESTER; GLATIRAMER; INTERFERON BETA SERINE; MITOXANTRONE; NATALIZUMAB; TERIFLUNOMIDE; ANTINEOPLASTIC AGENT; IMMUNOLOGICAL ADJUVANT; IMMUNOSUPPRESSIVE AGENT; MONOCLONAL ANTIBODY;

COST EFFECTIVENESS ANALYSIS; DISEASE COURSE; DISEASE SIMULATION; EXPANDED DISABILITY STATUS SCALE; HUMAN; MEDLINE; MORTALITY; MULTIPLE SCLEROSIS; PRIORITY JOURNAL; REVIEW; TREATMENT DURATION; COST BENEFIT ANALYSIS; ECONOMICS; STATISTICAL MODEL;

ADJUVANTS, IMMUNOLOGIC; ANTIBODIES, MONOCLONAL, HUMANIZED; ANTINEOPLASTIC AGENTS; COST-BENEFIT ANALYSIS; DISEASE PROGRESSION; HUMANS; IMMUNOSUPPRESSIVE AGENTS; MODELS, ECONOMIC; MULTIPLE SCLEROSIS;

EID: 84902292926     PISSN: 11707690     EISSN: 11792027     Source Type: Journal    
DOI: 10.1007/s40273-014-0150-1     Document Type: Review

References (43)

1. Compston A, Coles A. Multiple sclerosis. Lancet. 2008;372(9648):1502-17.
2. Yamamoto D, Campbell JD. Cost-effectiveness of multiple sclerosis disease-modifying therapies: a systematic review of the literature. Autoimmune Dis. 2012;2012:784364.
3. Kousin-Ezewu O, Coles A. Alemtuzumab in multiple sclerosis: latest evidence and clinical prospects. Ther Adv Chronic Dis. 2013;4(3):97-103.
4. Gold R, Giovannoni G, Selmaj K, Havrdova E, Montalban X, Radue EW, et al. Daclizumab high-yield process in relapsing-remitting multiple sclerosis (SELECT): a randomised, doubleblind, placebo-controlled trial. Lancet. 2013;381(9884):2167-75.
5. Reuss R. PEGylated interferon beta-1a in the treatment of multiple sclerosis: an update. Biologics. 2013;7:131-8.
6. Hawton A, Shearer J, Goodwin E, Green C. Squinting through layers of fog: assessing the cost effectiveness of treatments for multiple sclerosis. Appl Health Econ Health Policy. 2013;11(4):331-41.
7. Thompson JP, Abdolahi A, Noyes K. Modelling the cost effectiveness of disease-modifying treatments for multiple sclerosis: issues to consider. Pharmacoeconomics. 2013;31(6):455-69.
8. Bell C, Graham J, Earnshaw S, Oleen-Burkey M, Castelli-Haley J, Johnson K. Cost-effectiveness of four immunomodulatory therapies for relapsing-remitting multiple sclerosis: a Markov model based on long-term clinical data. J Manag Care Pharm. 2007;13(3):245-61. (Pubitemid 46730893)
9. Chilcott J, McCabe C, Tappenden P, O'Hagan A, Cooper NJ, Abrams K, et al. Modelling the cost effectiveness of interferon beta and glatiramer acetate in the management of multiple sclerosis. Commentary: evaluating disease modifying treatments in multiple sclerosis. BMJ. 2003;326(7388):522 (discussion).
10. Earnshaw SR, Graham J, Oleen-Burkey M, Castelli-Haley J, Johnson K. Cost effectiveness of glatiramer acetate and natalizumab in relapsing-remitting multiple sclerosis. Appl Health Econ Health Policy. 2009;7(2):91-108.
11. Gani R, Giovannoni G, Bates D, Kemball B, Hughes S, Kerrigan J. Cost-effectiveness analyses of natalizumab (Tysabri) compared with other disease-modifying therapies for people with highly active relapsing-remitting multiple sclerosis in the UK. Pharmacoeconomics. 2008;26(7):617-27. (Pubitemid 351876727)
12. Janković SM, Kostic M, Radosavljevic M, Tesic D, Stefanovic-Stoimenov N, Stevanovic I, et al. Cost-effectiveness of four immunomodulatory therapies for relapsing-remitting multiple sclerosis: a Markov model based on data a Balkan country in socioeconomic transition. Vojnosanit Pregl. 2009;66(7):556-62.
13. Kobelt G, Berg J, Lindgren P, Jonsson B, Stawiarz L, Hillert J. Modeling the cost-effectiveness of a new treatment for MS (natalizumab) compared with current standard practice in Sweden. Mult Scler. 2008;14(5):679-90. (Pubitemid 351954411)
14. Kobelt G, Jonsson L, Fredrikson S. Cost-utility of interferon beta 1b in the treatment of patients with active relapsing-remitting or secondary progressive multiple sclerosis. Eur J Health Econ. 2003;4(1):50-9. (Pubitemid 36457057)
15. Lee S, Baxter DC, Limone B, Roberts MS, Coleman CI. Cost-effectiveness of fingolimod versus interferon beta-1a for relapsing remitting multiple sclerosis in the United States. J Med Econ. 2012;15(6):1088-96.
16. Noyes K, Bajorska A, Chappel A, Schwid SR, Mehta LR, Weinstock-Guttman B, et al. Cost-effectiveness of disease-modifying therapy for multiple sclerosis: a population-based study. Neurology. 2011;77(4):355-63.
17. Prosser LA, Kuntz KM, Bar-Or A, Weinstein MC. Cost-effectiveness of interferon beta-1a, interferon beta-1b, and glatiramer acetate in newly diagnosed non-primary progressive multiple sclerosis. Value Health. 2004;7(5):554-68. (Pubitemid 39390836)
18. Sanchez-dela Rosa R, Sabater E, Casado MA, Arroyo R. Cost-effectiveness analysis of disease modifying drugs (interferons and glatiramer acetate) as first line treatments in remitting-relapsing multiple sclerosis patients. J Med Econ. 2012;15(3):424-33.
19. Tappenden P, McCabe C, Chilcott J, Simpson E, Nixon R, Madan J, et al. Cost-effectiveness of disease-modifying therapies in the management of multiple sclerosis for the Medicare population. Value Health. 2009;12(5):657-65.
20. Agashivala N, Kim E. Cost-effectiveness of early initiation of fingolimod versus delayed initiation after 1 year of intramuscular interferon beta-1a in patients with multiple sclerosis. Clin Ther. 2012;34(7):1583-90.
21. Caloyeras JP, Zhang B, Wang C, Eriksson M, Fredrikson S, Beckmann K, et al. Cost-effectiveness analysis of interferon beta-1b for the treatment of patients with a first clinical event suggestive of multiple sclerosis. Clin Ther. 2012;34(5):1132-44.
22. Iskedjian M, Walker JH, Gray T, Vicente C, Einarson TR, Gehshan A. Economic evaluation of Avonex (interferon beta-Ia) in patients following a single demyelinating event. Mult Scler. 2005;11(5):542-51. (Pubitemid 41387699)
23. Lazzaro C, Bianchi C, Peracino L, Zacchetti P, Uccelli A. Economic evaluation of treating clinically isolated syndrome and subsequent multiple sclerosis with interferon beta-1b. Neurol Sci. 2009;30(1):21-31.
24. Pan F, Goh JW, Cutter G, Su W, Pleimes D, Wang C. Long-term cost-effectiveness model of interferon beta-1b in the early treatment of multiple sclerosis in the United States. Clin Ther. 2012;34(9):1966-76.
25. Bakhshai J, Bleu-Laine R, Jung M, Lim J, Reyes C, Sun L, et al. The cost effectiveness and budget impact of natalizumab for formulary inclusion. J Med Econ. 2010;13(1):63-9.
26. Chiao E, Meyer K. Cost effectiveness and budget impact of natalizumab in patients with relapsing multiple sclerosis. Curr Med Res Opin. 2009;25(6):1445-54.
27. Goldberg LD, Edwards NC, Fincher C, Doan QV, Al-Sabbagh A, Meletiche DM. Comparing the cost-effectiveness of disease-modifying drugs for the first-line treatment of relapsing-remitting multiple sclerosis. J Manag Care Pharm. 2009;15(7):543-55.
28. Guo S, Bozkaya D, Ward A, O'Brien JA, Ishak K, Bennett R, et al. Treating relapsing multiple sclerosis with subcutaneous versus intramuscular interferon-beta-1a: modelling the clinical and economic implications. Pharmacoeconomics. 2009;27(1):39-53.
29. Nuijten M, Mittendorf T. A health-economic evaluation of disease-modifying drugs for the treatment of relapsing-remitting multiple sclerosis from the German societal perspective. Clin Ther. 2010;32(4):717-28.
30. O'Day K, Meyer K, Miller RM, Agarwal S, Franklin M. Cost-effectiveness of natalizumab versus fingolimod for the treatment of relapsing multiple sclerosis. J Med Econ. 2011;14(5):617-27.
31. Tappenden P, Saccardi R, Confavreux C, Sharrack B, Muraro PA, Mancardi GL, et al. Autologous haematopoietic stem cell transplantation for secondary progressive multiple sclerosis: an exploratory cost-effectiveness analysis. Bone Marrow Transplant. 2010;45(6):1014-21.
32. Touchette DR, Durgin TL, Wanke LA, Goodkin DE. A cost-utility analysis of mitoxantrone hydrochloride and interferon beta-1b in the treatment of patients with secondary progressive or progressive relapsing multiple sclerosis. Clin Ther. 2003;25(2):611-34. (Pubitemid 36286924)
33. Weinshenker BG, Bass B, Rice GP, Noseworthy J, Carriere W, Baskerville J, et al. The natural history of multiple sclerosis: a geographically based study. I: clinical course and disability. Brain. 1989;112(Pt 1):133-46. (Pubitemid 19056478)
34. Minden SL, Frankel D, Hadden L, Perloffp J, Srinath KP, Hoaglin DC. The Sonya Slifka Longitudinal Multiple Sclerosis Study: methods and sample characteristics. Mult Scler. 2006;12(1):24-38. (Pubitemid 43169235)
35. Tremlett H, Zhao Y, Rieckmann P, Hutchinson M. New perspectives in the natural history of multiple sclerosis. Neurology. 2010;74(24):2004-15.
36. Pickin M, Cooper CL, Chater T, O'Hagan A, Abrams KR, Cooper NJ, et al. The Multiple Sclerosis Risk Sharing Scheme Monitoring Study: early results and lessons for the future. BMC Neurol. 2009;9:1.
37. Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Green RC, et al. The Alzheimer's disease neuroimaging initiative: a review of papers published since its inception. Alzheimers Dement. 2013;9(5):e111-94.
38. Mills EJ, Thorlund K, Ioannidis JP. Demystifying trial networks and network meta-analysis. BMJ. 2013;346:f2914.
39. Sutton A, Ades AE, Cooper N, Abrams K. Use of indirect and mixed treatment comparisons for technology assessment. Pharmacoeconomics. 2008;26(9):753-67.
40. Caro JJ, Ishak KJ. No head-to-head trial? Simulate the missing arms. Pharmacoeconomics. 2010;28(10):957-67.
41. Signorovitch JE, Wu EQ, Betts KA, Parikh K, Kantor E, Guo A, et al. Comparative efficacy of nilotinib and dasatinib in newly diagnosed chronic myeloid leukemia: a matching-adjusted indirect comparison of randomized trials. Curr Med Res Opin. 2011;27(6):1263-71.
42. Karnon J, Stahl J, Brennan A, Caro JJ, Mar J, Moller J, et al. Modeling using discrete event simulation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-4. Value Health. 2012;15(6):821-7.
43. Eddy DM, Hollingworth W, Caro JJ, Tsevat J, McDonald KM, Wong JB, et al. Model transparency and validation: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-7. Value Health. 2012;15(6):843-50.