P. Cortesi, P. Cozzolino, R. Capra, G. Cesana, L. Mantovani
{"title":"不同多发性硬化症病程的经济负担:来自意大利行政和临床数据库的分析","authors":"P. Cortesi, P. Cozzolino, R. Capra, G. Cesana, L. Mantovani","doi":"10.7175/fe.v21i1.1476","DOIUrl":null,"url":null,"abstract":"INTRODUCTION: Poor specific economic information are available for the different Multiple Sclerosis (MS) courses: relapsing remitting (RRMS), secondary progressive (SPMS) and primary progressive (PPMS). This study aims to fill this gap. METHODS: A cost of illness study was conducted. Clinical information of patients treated in a major MS Center located in Lombardy, in the period 2004-2010, were linked with administrative data of Lombardy Healthcare System. We assessed the mean cost per patient-year and its association with different MS characteristics. RESULTS: The study identified 869 patients (83.9% RRMS, 8.5% SPMS, 7.2% PPMS). RRMS reported the highest cost per patient-year with a mean of € 5,623 in Expanded Disability Status Scale (EDSS) 0-3, € 8,675 in EDSS 3.5-6.5, and € 7,451 in EDSS 7-9. The PPMS patients reported the lower annual mean cost per patient in all EDSS categories. The mul-tivariate analysis reported a significant association between cost per patient-year and EDSS categories, relapse and use of Disease Modifying Therapies but not to MS courses, age and sex. CONCLUSION: This study provides a complete picture of MS courses direct costs at the different disability levels. The results can help to better understand the burden of each MS courses and the cost-effectiveness of different interventions.","PeriodicalId":41585,"journal":{"name":"Farmeconomia-Health Economics and Therapeutic Pathways","volume":"47 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"The Economic Burden of Different Multiple Sclerosis Courses: Analysis from Italian Administrative and Clinical Databases\",\"authors\":\"P. Cortesi, P. Cozzolino, R. Capra, G. Cesana, L. Mantovani\",\"doi\":\"10.7175/fe.v21i1.1476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"INTRODUCTION: Poor specific economic information are available for the different Multiple Sclerosis (MS) courses: relapsing remitting (RRMS), secondary progressive (SPMS) and primary progressive (PPMS). This study aims to fill this gap. METHODS: A cost of illness study was conducted. Clinical information of patients treated in a major MS Center located in Lombardy, in the period 2004-2010, were linked with administrative data of Lombardy Healthcare System. We assessed the mean cost per patient-year and its association with different MS characteristics. RESULTS: The study identified 869 patients (83.9% RRMS, 8.5% SPMS, 7.2% PPMS). RRMS reported the highest cost per patient-year with a mean of € 5,623 in Expanded Disability Status Scale (EDSS) 0-3, € 8,675 in EDSS 3.5-6.5, and € 7,451 in EDSS 7-9. The PPMS patients reported the lower annual mean cost per patient in all EDSS categories. The mul-tivariate analysis reported a significant association between cost per patient-year and EDSS categories, relapse and use of Disease Modifying Therapies but not to MS courses, age and sex. CONCLUSION: This study provides a complete picture of MS courses direct costs at the different disability levels. The results can help to better understand the burden of each MS courses and the cost-effectiveness of different interventions.\",\"PeriodicalId\":41585,\"journal\":{\"name\":\"Farmeconomia-Health Economics and Therapeutic Pathways\",\"volume\":\"47 1\",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2020-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Farmeconomia-Health Economics and Therapeutic Pathways\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7175/fe.v21i1.1476\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Farmeconomia-Health Economics and Therapeutic Pathways","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7175/fe.v21i1.1476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
The Economic Burden of Different Multiple Sclerosis Courses: Analysis from Italian Administrative and Clinical Databases
INTRODUCTION: Poor specific economic information are available for the different Multiple Sclerosis (MS) courses: relapsing remitting (RRMS), secondary progressive (SPMS) and primary progressive (PPMS). This study aims to fill this gap. METHODS: A cost of illness study was conducted. Clinical information of patients treated in a major MS Center located in Lombardy, in the period 2004-2010, were linked with administrative data of Lombardy Healthcare System. We assessed the mean cost per patient-year and its association with different MS characteristics. RESULTS: The study identified 869 patients (83.9% RRMS, 8.5% SPMS, 7.2% PPMS). RRMS reported the highest cost per patient-year with a mean of € 5,623 in Expanded Disability Status Scale (EDSS) 0-3, € 8,675 in EDSS 3.5-6.5, and € 7,451 in EDSS 7-9. The PPMS patients reported the lower annual mean cost per patient in all EDSS categories. The mul-tivariate analysis reported a significant association between cost per patient-year and EDSS categories, relapse and use of Disease Modifying Therapies but not to MS courses, age and sex. CONCLUSION: This study provides a complete picture of MS courses direct costs at the different disability levels. The results can help to better understand the burden of each MS courses and the cost-effectiveness of different interventions.