The burden of multiple sclerosis 2015: Methods of data collection, assessment and analysis of costs, quality of life and symptoms
Introduction: This article describes the methods used to perform this large European-wide burden-of-illness study on multiple sclerosis (MS) using individual patient data. Methods: The study collected all MS-related resource consumption, workforce participation, prevalent disease symptoms and health...
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Veröffentlicht in: | Multiple sclerosis 2017-08, Vol.23 (2_suppl), p.4-16 |
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creator | Kobelt, Gisela Eriksson, Jennifer Phillips, Glenn Berg, Jenny |
description | Introduction:
This article describes the methods used to perform this large European-wide burden-of-illness study on multiple sclerosis (MS) using individual patient data.
Methods:
The study collected all MS-related resource consumption, workforce participation, prevalent disease symptoms and health-related quality of life (HRQoL). Patients were recruited by national patient associations and, after informed consent, completed a specific questionnaire either on-line or on paper. Analyses were performed by country as well as for the study overall. Costs were estimated from the societal perspective, using publicly available unit costs and reported in national currencies and in EUR 2015 adjusted for purchasing power parity. The results are reported by disease severity groups according to self-assessed Expanded Disability Status Scale (EDSS) (mild, moderate, severe) and by EDSS point to highlight the development of costs as disability progresses.
Results:
A total of 16,808 patients in 16 countries participated in the study: Austria, Belgium, Denmark, Czech Republic, France, Germany, Hungary, Italy, the Netherlands, Poland, Portugal, Russia, Spain, Sweden, Switzerland and the United Kingdom.
Conclusion:
This study, endorsed by the European Platform of MS Societies, provides up-to-date information on costs and expands the previously available information on HRQoL and symptoms. |
doi_str_mv | 10.1177/1352458517708097 |
format | Article |
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This article describes the methods used to perform this large European-wide burden-of-illness study on multiple sclerosis (MS) using individual patient data.
Methods:
The study collected all MS-related resource consumption, workforce participation, prevalent disease symptoms and health-related quality of life (HRQoL). Patients were recruited by national patient associations and, after informed consent, completed a specific questionnaire either on-line or on paper. Analyses were performed by country as well as for the study overall. Costs were estimated from the societal perspective, using publicly available unit costs and reported in national currencies and in EUR 2015 adjusted for purchasing power parity. The results are reported by disease severity groups according to self-assessed Expanded Disability Status Scale (EDSS) (mild, moderate, severe) and by EDSS point to highlight the development of costs as disability progresses.
Results:
A total of 16,808 patients in 16 countries participated in the study: Austria, Belgium, Denmark, Czech Republic, France, Germany, Hungary, Italy, the Netherlands, Poland, Portugal, Russia, Spain, Sweden, Switzerland and the United Kingdom.
Conclusion:
This study, endorsed by the European Platform of MS Societies, provides up-to-date information on costs and expands the previously available information on HRQoL and symptoms.</description><identifier>ISSN: 1352-4585</identifier><identifier>EISSN: 1477-0970</identifier><identifier>DOI: 10.1177/1352458517708097</identifier><identifier>PMID: 28643592</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Adult ; Aged ; Cost of Illness ; Data Collection - methods ; Data processing ; Disabled Persons - statistics & numerical data ; Europe - epidemiology ; Female ; Health Care Costs - statistics & numerical data ; Humans ; Male ; Middle Aged ; Multiple sclerosis ; Multiple Sclerosis - economics ; Multiple Sclerosis - epidemiology ; Multiple Sclerosis - physiopathology ; Multiple Sclerosis - therapy ; Patient Acceptance of Health Care - statistics & numerical data ; Purchasing power parity ; Quality of Life</subject><ispartof>Multiple sclerosis, 2017-08, Vol.23 (2_suppl), p.4-16</ispartof><rights>The Author(s), 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c407t-31df71ca7ebdd7043d8fa89f763770df4f189f6983462e84e03c5000a7f4187e3</citedby><cites>FETCH-LOGICAL-c407t-31df71ca7ebdd7043d8fa89f763770df4f189f6983462e84e03c5000a7f4187e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/1352458517708097$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/1352458517708097$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,43621,43622</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28643592$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kobelt, Gisela</creatorcontrib><creatorcontrib>Eriksson, Jennifer</creatorcontrib><creatorcontrib>Phillips, Glenn</creatorcontrib><creatorcontrib>Berg, Jenny</creatorcontrib><title>The burden of multiple sclerosis 2015: Methods of data collection, assessment and analysis of costs, quality of life and symptoms</title><title>Multiple sclerosis</title><addtitle>Mult Scler</addtitle><description>Introduction:
This article describes the methods used to perform this large European-wide burden-of-illness study on multiple sclerosis (MS) using individual patient data.
Methods:
The study collected all MS-related resource consumption, workforce participation, prevalent disease symptoms and health-related quality of life (HRQoL). Patients were recruited by national patient associations and, after informed consent, completed a specific questionnaire either on-line or on paper. Analyses were performed by country as well as for the study overall. Costs were estimated from the societal perspective, using publicly available unit costs and reported in national currencies and in EUR 2015 adjusted for purchasing power parity. The results are reported by disease severity groups according to self-assessed Expanded Disability Status Scale (EDSS) (mild, moderate, severe) and by EDSS point to highlight the development of costs as disability progresses.
Results:
A total of 16,808 patients in 16 countries participated in the study: Austria, Belgium, Denmark, Czech Republic, France, Germany, Hungary, Italy, the Netherlands, Poland, Portugal, Russia, Spain, Sweden, Switzerland and the United Kingdom.
Conclusion:
This study, endorsed by the European Platform of MS Societies, provides up-to-date information on costs and expands the previously available information on HRQoL and symptoms.</description><subject>Adult</subject><subject>Aged</subject><subject>Cost of Illness</subject><subject>Data Collection - methods</subject><subject>Data processing</subject><subject>Disabled Persons - statistics & numerical data</subject><subject>Europe - epidemiology</subject><subject>Female</subject><subject>Health Care Costs - statistics & numerical data</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multiple sclerosis</subject><subject>Multiple Sclerosis - economics</subject><subject>Multiple Sclerosis - epidemiology</subject><subject>Multiple Sclerosis - physiopathology</subject><subject>Multiple Sclerosis - therapy</subject><subject>Patient Acceptance of Health Care - statistics & numerical data</subject><subject>Purchasing power parity</subject><subject>Quality of Life</subject><issn>1352-4585</issn><issn>1477-0970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc1P5SAUxYnRjJ97V4bEjQvrQKGFujMv42iiceOsGx5ctIaWZy9dvOX859J5jjEmLggX7u8ecjiEHHN2wblSP7moSlnpKtdMs0ZtkT0ulSpyybZzndvF3N8l-4gvjDGlRPWD7Ja6lqJqyj3y9_EZ6HIaHQw0etpPIXWrABRtgDFih7RkvLqk95Ceo8OZcSYZamMIYFMXh3NqEAGxhyFRM7i8TFjPk5m1EROe09fJhC6t55vQefiH4bpfpdjjIdnxJiAcve8H5M_1r8fFTXH38Pt2cXVXWMlUKgR3XnFrFCydU0wKp73RjVe1yOadl57nU91oIesStAQmbJUdG-Ul1wrEATnb6K7G-DoBprbv0EIIZoA4YcsbLkTTVLLO6OkX9CVOY7a1ocqS6Zplim0omz8KR_Dtaux6M65bzto5nvZrPHnk5F14WvbgPgb-55GBYgOgeYJPr34n-AZ38pbC</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Kobelt, Gisela</creator><creator>Eriksson, Jennifer</creator><creator>Phillips, Glenn</creator><creator>Berg, Jenny</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7TK</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope></search><sort><creationdate>20170801</creationdate><title>The burden of multiple sclerosis 2015: Methods of data collection, assessment and analysis of costs, quality of life and symptoms</title><author>Kobelt, Gisela ; Eriksson, Jennifer ; Phillips, Glenn ; Berg, Jenny</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c407t-31df71ca7ebdd7043d8fa89f763770df4f189f6983462e84e03c5000a7f4187e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Cost of Illness</topic><topic>Data Collection - methods</topic><topic>Data processing</topic><topic>Disabled Persons - statistics & numerical data</topic><topic>Europe - epidemiology</topic><topic>Female</topic><topic>Health Care Costs - statistics & numerical data</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multiple sclerosis</topic><topic>Multiple Sclerosis - economics</topic><topic>Multiple Sclerosis - epidemiology</topic><topic>Multiple Sclerosis - physiopathology</topic><topic>Multiple Sclerosis - therapy</topic><topic>Patient Acceptance of Health Care - statistics & numerical data</topic><topic>Purchasing power parity</topic><topic>Quality of Life</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kobelt, Gisela</creatorcontrib><creatorcontrib>Eriksson, Jennifer</creatorcontrib><creatorcontrib>Phillips, Glenn</creatorcontrib><creatorcontrib>Berg, Jenny</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Multiple sclerosis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kobelt, Gisela</au><au>Eriksson, Jennifer</au><au>Phillips, Glenn</au><au>Berg, Jenny</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The burden of multiple sclerosis 2015: Methods of data collection, assessment and analysis of costs, quality of life and symptoms</atitle><jtitle>Multiple sclerosis</jtitle><addtitle>Mult Scler</addtitle><date>2017-08-01</date><risdate>2017</risdate><volume>23</volume><issue>2_suppl</issue><spage>4</spage><epage>16</epage><pages>4-16</pages><issn>1352-4585</issn><eissn>1477-0970</eissn><abstract>Introduction:
This article describes the methods used to perform this large European-wide burden-of-illness study on multiple sclerosis (MS) using individual patient data.
Methods:
The study collected all MS-related resource consumption, workforce participation, prevalent disease symptoms and health-related quality of life (HRQoL). Patients were recruited by national patient associations and, after informed consent, completed a specific questionnaire either on-line or on paper. Analyses were performed by country as well as for the study overall. Costs were estimated from the societal perspective, using publicly available unit costs and reported in national currencies and in EUR 2015 adjusted for purchasing power parity. The results are reported by disease severity groups according to self-assessed Expanded Disability Status Scale (EDSS) (mild, moderate, severe) and by EDSS point to highlight the development of costs as disability progresses.
Results:
A total of 16,808 patients in 16 countries participated in the study: Austria, Belgium, Denmark, Czech Republic, France, Germany, Hungary, Italy, the Netherlands, Poland, Portugal, Russia, Spain, Sweden, Switzerland and the United Kingdom.
Conclusion:
This study, endorsed by the European Platform of MS Societies, provides up-to-date information on costs and expands the previously available information on HRQoL and symptoms.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>28643592</pmid><doi>10.1177/1352458517708097</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Cost of Illness Data Collection - methods Data processing Disabled Persons - statistics & numerical data Europe - epidemiology Female Health Care Costs - statistics & numerical data Humans Male Middle Aged Multiple sclerosis Multiple Sclerosis - economics Multiple Sclerosis - epidemiology Multiple Sclerosis - physiopathology Multiple Sclerosis - therapy Patient Acceptance of Health Care - statistics & numerical data Purchasing power parity Quality of Life |
title | The burden of multiple sclerosis 2015: Methods of data collection, assessment and analysis of costs, quality of life and symptoms |
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