Societal costs of primary progressive multiple sclerosis in Australia and the economic impact of a hypothetical disease-modifying treatment that could delay disease progression

References

• Ahmad H, Palmer AJ, Campbell JA, et al. Health economic impact of multiple sclerosis in Australia in 2017. An analysis of MS Research Australia’s platform – the Australian MS longitudinal study (AMSLS). A report prepared for Multiple Sclerosis Research Australia by Menzies Insitute For Medical Research. Hobart (TAS): University of Tasmania; 2018.
   Google Scholar
• Dilokthornsakul P, Valuck RJ, Nair KV, et al. Multiple sclerosis prevalence in the United States commercially insured population. Neurology. 2016;86:1014–1021.
   PubMed Web of Science ®Google Scholar
• Leray E, Moreau T, Fromont A, et al. Epidemiology of multiple sclerosis. Rev Neurol (Paris). 2016;172:3–13.
   PubMed Web of Science ®Google Scholar
• Giovannoni G. Primary progressive multiple sclerosis. ACNR. 2012;12:1–4.
   Google Scholar
• Jick SS, Li L, Falcone GJ, et al. Epidemiology of multiple sclerosis: results from a large observational study in the UK. J Neurol. 2015;262:2033–2041.
   PubMed Web of Science ®Google Scholar
• Nelson RE, Butler J, LaFleur J, et al. Determining multiple sclerosis phenotype from electronic medical records. J Manag Care Spec Pharm. 2016;22:1377–1382.
   PubMed Web of Science ®Google Scholar
• Lunde HMB, Assmus J, Myhr KM, et al. Survival and cause of death in multiple sclerosis: a 60-year longitudinal population study. J Neurol Neurosurg Psychiatry. 2017;88:621–625.
   PubMed Web of Science ®Google Scholar
• Rojas JI, Romano M, Patrucco L, et al. A systematic review about the epidemiology of primary progressive multiple sclerosis in Latin America and the Caribbean. Mult Scler Relat Disord. 2018;22:1–7.
   PubMed Web of Science ®Google Scholar
• Antel J, Antel S, Caramanos Z, et al. Primary progressive multiple sclerosis: part of the MS disease spectrum or separate disease entity? Acta Neuropathol. 2012;123:627–638.
   PubMed Web of Science ®Google Scholar
• Lublin FD, Reingold SC, Cohen JA, et al. Defining the clinical course of multiple sclerosis: the 2013 revisions. Neurology. 2014;83:278–286.
   PubMed Web of Science ®Google Scholar
• Ahmad H, Palmer AJ, Van Der Mei I, et al. A sub-group analysis of the Australian multiple sclerosis longitudinal study (AMSLS). A report prepared for Multiple Sclerosis Research Australia by Menzies Insitute For Medical Research. Hobart (TAS): University of Tasmania; 2017.
   Google Scholar
• McKay KA, Kwan V, Duggan T, et al. Risk factors associated with the onset of relapsing-remitting and primary progressive multiple sclerosis: a systematic review. Biomed Res Int. 2015;2015:817238.
   PubMed Web of Science ®Google Scholar
• Fogarty E, Walsh C, McGuigan C, et al. Direct and indirect economic consequences of multiple sclerosis in Ireland. Appl Health Econ Health Policy. 2014;12:635–645.
   PubMedGoogle Scholar
• Lunde HMB, Telstad W, Grytten N, et al. Employment among patients with multiple sclerosis-a population study. PLoS One. 2014;9:e103317.
   PubMed Web of Science ®Google Scholar
• Ireland MS. Societal costs of multiple sclerosis in Ireland. 2015 [cited 2020 Aug 12]. Available from: https://www.ms-society.ie/sites/default/files/2019-06/MS%20Ireland%20-%20Societal%20Cost%20of%20MS%20in%20Ireland%202015cc.pdf
   Google Scholar
• Kobelt G, Thompson A, Berg J, et al., European Multiple Sclerosis Platform. New insights into the burden and costs of multiple sclerosis in Europe. Mult Scler. 2017;23:1123–1136.
   PubMed Web of Science ®Google Scholar
• Pearson J, Alla S, Clarke G, et al. Multiple Sclerosis impact on employment and income in New Zealand. Acta Neurol Scand. 2017;136:223–232.
   PubMed Web of Science ®Google Scholar
• Salter A, Thomas N, Tyry T, et al. Employment and absenteeism in working-age persons with multiple sclerosis. J Med Econ. 2017;20:493–502.
   PubMed Web of Science ®Google Scholar
• Svendsen B, Grytten N, Bø L, et al. The economic impact of multiple sclerosis to the patients and their families in Norway. Eur J Health Econ. 2018;19:1243–1257.
   PubMed Web of Science ®Google Scholar
• McCabe M. A needs analysis of Australians with multiple sclerosis. Prepared for MS Research Australia by Prof Marita McCabe, Deakin University, Melbourne, VIC; 2012 [cited 2020 Aug 12]. Available from: https://msra.org.au/wp-content/uploads/2016/03/National-MS-Needs-Analysis-2012-1.pdf
   Google Scholar
• Van Dijk PA, Kirk-Brown AK, Taylor B, et al. Closing the gap: longitudinal changes in employment for Australians with multiple sclerosis. Mult Scler. 2017;23:1415–1423.
   PubMed Web of Science ®Google Scholar
• Chen J, Taylor B, Palmer AJ, et al. Estimating MS-related work productivity loss and factors associated with work productivity loss in a representative Australian sample of people with multiple sclerosis. Mult Scler. 2019;25:994–1004.
   PubMed Web of Science ®Google Scholar
• Landfeldt E, Castelo-Branco A, Svedbom A, et al. Personal income before and after diagnosis of multiple sclerosis. Value Health. 2018;21:590–595.
   PubMed Web of Science ®Google Scholar
• Segel J. Cost-of-illness studies – a primer. RTI International; 2006.
   Google Scholar
• Tarricone R. Cost-of-illness analysis. What room in health economics? Health Policy. 2006;77:51–63.
   PubMed Web of Science ®Google Scholar
• World Health Organisation. WHO guide to identifying the economic consequences of disease and injury. Geneva (Switzerland): Department of Health Systems Financing, Health Systems and Services, World Health Organisation; 2009 [cited 2020 Aug 12]. Available from: https://www.who.int/choice/publications/d_economic_impact_guide.pdf?ua=1
   Google Scholar
• Sullivan SD, Mauskopf JA, Augustovski F, et al. Budget impact analysis-principles of good practice: report of the ISPOR 2012 Budget Impact Analysis Good Practice II Task Force. Value Health. 2014;17:5–14.
   PubMed Web of Science ®Google Scholar
• Taylor BV, Palmer A, Simpson Jr S, et al., NZMSPS study group. Assessing possible selection bias in a national voluntary MS longitudinal study in Australia. Mult Scler. 2013;19:1627–1631.
   PubMed Web of Science ®Google Scholar
• Stellmann J-P, Neuhaus A, Lederer C, et al. Validating predictors of disease progression in a large cohort of primary-progressive multiple sclerosis based on a systematic literature review. PLoS One. 2014;9:e92761.
   PubMed Web of Science ®Google Scholar
• Raghavan K, Healy BC, Carruthers RL, et al. Progression rates and sample size estimates for PPMS based on the CLIMB study population. Mult Scler. 2015;21:180–188.
   PubMed Web of Science ®Google Scholar
• Sandi D, Zsiros V, Füvesi J, et al. Mortality in Hungarian patients with multiple sclerosis between 1993 and 2013. J Neurol Sci. 2016;367:329–332.
   PubMed Web of Science ®Google Scholar
• Australian Bureau of Statistics. 4430.0 – Disability, ageing and carers, Australia: summary of findings 2009. 2010 [cited 2020 Aug 17]. Available from: https://www.abs.gov.au/AUSSTATS/[email protected]/allprimarymainfeatures/E36A0C8CC46057B9CA257C21000D8846?opendocument
   Google Scholar
• Australian Bureau of Statistics. 4430.0 – Disability, ageing and carers, Australia: summary of findings, 2012. 2013 [cited 2020 Aug 17]. Available from: https://www.abs.gov.au/ausstats/[email protected]/Lookup/A813E50F4C45A338CA257C21000E4F36?opendocument
   Google Scholar
• Australian Bureau of Statistics. 4430.0.10.001 – Disability, ageing and carers, Australia: first results, 2015. 2016 [cited 2020 Aug 15]. Available from: https://www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/4430.0.10.0012015?OpenDocument.#Publications
   Google Scholar
• Palmer AJ, Colman S, O'Leary B, et al. The economic impact of multiple sclerosis in Australia in 2010. Mult Scler. 2013;19:1640–1646.
   PubMed Web of Science ®Google Scholar
• Wilkins R. The Household, Income and Labour Dynamics in Australia (HILDA) Survey: Melbourne Institute of Applied Economic and Social Research; 2016. [cited 15 August 2020]. Available from: https://melbourneinstitute.unimelb.edu.au/__data/assets/pdf_file/0007/2155507/hilda-statreport-2016.pdf.
   Google Scholar
• Koch M, Kingwell E, Rieckmann P, et al. The natural history of primary progressive multiple sclerosis. Neurology. 2009;73:1996–2002.
   PubMed Web of Science ®Google Scholar
• Australian Bureau of Statistics. 4839.0 - Patient Experiences in Australia: Summary of Findings, 2016-17 2017. Available from: https://www.abs.gov.au/ausstats/[email protected]/Lookup/by%20Subject/4839.0∼2016-17∼Media%20Release∼Home%20doctor%20visits%20increasing%20.(Media%20Release)∼8
   Google Scholar
• Palmer A. Economic impact of multiple sclerosis in 2010 Australian multiple sclerosis longitudinal study. A report prepared for Multiple Sclerosis Research Australia. Covance Pty Ltd; 2011.
   Google Scholar
• Australian Government Productivity Commission. Report on Government Services 2018. Chapter 14 Aged Care Services. 2018. Available from: https://www.pc.gov.au/research/ongoing/report-on-government-services/2018/community-services/aged-care-services
   Google Scholar
• Access Economics Pty Ltd. Acting positively: strategic implications of the economic costs of multiple sclerosis in Australia. Report prepared for Multiple Sclerosis Australia. 2005.
   Google Scholar
• Ruutiainen J, Viita A-M, Hahl J, et al. Burden of illness in multiple sclerosis (DEFENSE) study: the costs and quality-of-life of Finnish patients with multiple sclerosis. J Med Econ. 2016;19:21–33.
   PubMed Web of Science ®Google Scholar
• Mackenzie I, Morant S, Bloomfield G, et al. Incidence and prevalence of multiple sclerosis in the UK 1990-2010: a descriptive study in the General Practice Research Database. J Neurol Neurosurg Psychiatry. 2014;85:76–84.
   PubMed Web of Science ®Google Scholar
• Kobelt G, Berg J, Lindgren P, et al. Costs and quality of life of patients with multiple sclerosis in Europe. J Neurol Neurosurg Psychiatry. 2006;77:918–926.
   PubMed Web of Science ®Google Scholar