The burden of multiple sclerosis in Japan

References

• Whitwell J. Setting new standards in multiple sclerosis care and research. Lancet Neurol 2012;11:835
   PubMed Web of Science ®Google Scholar
• Kister I, Bacon TE, Chamot E, et al. Natural history of multiple sclerosis symptoms. Int J MS Care 2013;15:146-58
   PubMedGoogle Scholar
• WHO. Atlas multiple sclerosis resources in the world 2008. Geneva, Switzerland: WHO Press; 2008
   Google Scholar
• Browne P, Chandraratna D, Angood C, et al. Atlas of multiple sclerosis 2013: a growing global problem with widespread inequity. Neurology 2014;83:1022-4
   PubMed Web of Science ®Google Scholar
• Houzen H, Niino M, Hata D, et al. Increasing prevalence and incidence of multiple sclerosis in northern Japan. Mult Scler 2008;14:887-92
   PubMedGoogle Scholar
• Houzen H, Niino M, Hirotani M, et al. Increased prevalence, incidence, and female predominance of multiple sclerosis in northern Japan. J Neurol Sci 2012;323:117-22
   PubMed Web of Science ®Google Scholar
• Ogino M, Shiozawa A, Ohta H, et al. Prevalence and patient characteristics of multiple sclerosis (MS) in Japan. Value Health 2016;19:A873
   Google Scholar
• Multiple Sclerosis International Federation. Atlas of MS 2013: mapping multiple sclerosis around the world. Mult Scler Int Fed London, United Kingdom. 2013;1-28
   Google Scholar
• Kikuchi H, Mifune N, Niino M, et al. Impact and characteristics of quality of life in Japanese patients with multiple sclerosis. Qual Life Res 2011;20:119-31
   PubMed Web of Science ®Google Scholar
• Murray CJL, Vos T, Lozano R, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012;380:2197-223
   PubMed Web of Science ®Google Scholar
• Vos T, Flaxman AD, Naghavi M, et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012;380:2163-96
   PubMed Web of Science ®Google Scholar
• Ogino M, Kawachi I, Otake K, et al. Current treatment status and medical cost for multiple sclerosis based on analysis of a Japanese claims database. Clin Exp Neuroimmunol 2016;7:158-67
   PubMedGoogle Scholar
• Palmer AJ, Colman S, O’Leary B, et al. The economic impact of multiple sclerosis in Australia in 2010. Mult Scler Int Fed 2013;19:1640-6
   PubMed Web of Science ®Google Scholar
• WHO expert consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet (London, England) 2004;363:157-63
   PubMed Web of Science ®Google Scholar
• Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40:373-83
   PubMedGoogle Scholar
• Marrie RA, Bernstein CN, Peschken CA, et al. Intensive care unit admission in multiple sclerosis: increased incidence and increased mortality. Neurology 2014;82:2112-19
   PubMed Web of Science ®Google Scholar
• Ware JE, Kosinski Jr M, Turner Bowker DM, et al. How to score version 2 of the SF-12v2® Health Survey (with a supplement documenting SF-12® Health Survey). Lincoln, RI: Qual. Inc.; 2002
   Google Scholar
• Maruish ME, editor. New SF36v2 user guide, 3rd Edition. Lincoln, RI: QualityMetric Incorporated. 2011
   Google Scholar
• Brazier J, Roberts J. The estimation of a preference-based measure of health from the SF-12. Med Care 2004;42:851-9
   PubMed Web of Science ®Google Scholar
• Brazier J, Roberts J, Deverill M. The estimation of a preference-based measure of health from the SF-36. J Health Econ 2002;21:271-92
   PubMed Web of Science ®Google Scholar
• Herdman M, Gudex C, Lloyd A, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res 2011;20:1727-36
   PubMed Web of Science ®Google Scholar
• Walters SJ, Brazier JE. Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Qual Life Res 2005;14:1523-32
   PubMed Web of Science ®Google Scholar
• Reilly MC, Zbrozek AS, Dukes EM. The validity and reproducibility of a work productivity and activity impairment instrument. Pharmacoeconomics 1993;4:353-65
   PubMed Web of Science ®Google Scholar
• Glanz BI, Degano IR, Rintell DJ, et al. Work productivity in relapsing multiple sclerosis: associations with disability, depression, fatigue, anxiety, cognition, and health-related quality of life. Value Health 2012;15:1029-35
   PubMed Web of Science ®Google Scholar
• Lofland JH, Pizzi L, Frick KD. A review of health-related workplace productivity loss instruments. Pharmacoeconomics 2004;22:165-84
   PubMed Web of Science ®Google Scholar
• Ministry of Health, Labour, and Welfare. 2012. Available at: http://www.mhlw.go.jp/bunya/iryouhoken/database/zenpan/dl/h23_doukou_03.pdf [Japanese]
   Google Scholar
• Organization for Economic Cooperation and Development. Average length of stay in hospital for all causes, 2000 and 2009 (or nearest year). Available at: http://dx.doi.org/10.1787/888932524659
   Google Scholar
• SAS Institute Inc. SAS/STAT 9.3 user’s guide. Cary, NC: SAS Institute, Inc.; 2011
   Google Scholar
• Parsons LS. Reducing bias in a propensity score matched-pair sample using greedy matching techniques. The Twenty-Sixth Annual SAS Users Group International Conference. 2001;214–26
   Google Scholar
• Miyashita M, Narita Y, Sakamoto A, et al. Health-related quality of life among community-dwelling patients with intractable neurological diseases and their caregivers in Japan. Psychiatry Clin Neurosci 2011;65:30-8
   PubMed Web of Science ®Google Scholar
• Kojima M, Kojima T, Ishiguro N, et al. Psychosocial factors, disease status, and quality of life in patients with rheumatoid arthritis. J Psychosom Res 2009;67:425-31
   PubMed Web of Science ®Google Scholar
• Ernstsson O, Gyllensten H, Alexanderson K, et al. Cost of illness of multiple sclerosis - a systematic review. PLoS One 2016;11:e0159129
   PubMed Web of Science ®Google Scholar