Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients
Objective To map the 12-item Multiple Sclerosis Walking Scale (MSWS-12) onto the EuroQol 5-dimension (EQ-5D) health-utility index in multiple sclerosis (MS) patients participating in the North American Research Committee on Multiple Sclerosis (NARCOMS) registry. Design Cross-sectional MSWS-12 to EQ-...
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| Veröffentlicht in: | BMJ open 2013-01, Vol.3 (5), p.e002798 |
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| description | Objective To map the 12-item Multiple Sclerosis Walking Scale (MSWS-12) onto the EuroQol 5-dimension (EQ-5D) health-utility index in multiple sclerosis (MS) patients participating in the North American Research Committee on Multiple Sclerosis (NARCOMS) registry. Design Cross-sectional MSWS-12 to EQ-5D cross-walking analysis. Setting NARCOMS registry spring 2010 biannual update and supplemental survey. Participants North American patients completing both the MSWS-12 and the EQ-5D randomly split into derivation and validation cohorts. Outcome measures Ordinary least squares regression was performed within the derivation cohort, with participants’ EQ-5D as the dependent variable. Results of the MSWS-12 were input as independent variable(s) into six regression models. Model goodness-of-fit was subsequently assessed in the validation cohort using the mean absolute error (MAE), root mean square error (RMSE) and the adjusted R2. The best performing model was refined in the entire cohort and utilised for additional analyses. Results A total of 3505 NARCOMS participants were included. Their mean±SD EQ-5D and MSWS-12 scores were 0.74±0.18 and 50.8±33.5, respectively, and these assessments were found to be moderately correlated (r=–0.553, p |
| doi_str_mv | 10.1136/bmjopen-2013-002798 |
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Design Cross-sectional MSWS-12 to EQ-5D cross-walking analysis. Setting NARCOMS registry spring 2010 biannual update and supplemental survey. Participants North American patients completing both the MSWS-12 and the EQ-5D randomly split into derivation and validation cohorts. Outcome measures Ordinary least squares regression was performed within the derivation cohort, with participants’ EQ-5D as the dependent variable. Results of the MSWS-12 were input as independent variable(s) into six regression models. Model goodness-of-fit was subsequently assessed in the validation cohort using the mean absolute error (MAE), root mean square error (RMSE) and the adjusted R2. The best performing model was refined in the entire cohort and utilised for additional analyses. Results A total of 3505 NARCOMS participants were included. Their mean±SD EQ-5D and MSWS-12 scores were 0.74±0.18 and 50.8±33.5, respectively, and these assessments were found to be moderately correlated (r=–0.553, p<0.001). The model using all individual MSWS-12 item scores as independent variables was found to have the best fit (MAE=0.109±0.096, RMSE=0.145, adjusted R2=0.329). The percentage of EQ-5D estimates within 0.05 and 0.10 of the actual value were 30% and 61%, respectively. This mapping equation was more precise in patients with moderate mobility impairment (MAE=0.087±0.061 at patient-determined disease step (PDDS) of 3–6) and less precise in patients with no (MAE=0.141±0.128 at PDDS of 0–2) or severe mobility impairment (MAE=0.121±0.049 at PDDS ≥7). Conclusions The EQ-5D scores can be predicted using the MSWS-12 item scores with reasonable precision in North American patients with MS. Prediction estimates were more precise in patients with moderate mobility impairment.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2013-002798</identifier><identifier>PMID: 23793699</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Cost analysis ; Multiple sclerosis ; Neurology ; Patients ; Population ; Questionnaires ; Walking</subject><ispartof>BMJ open, 2013-01, Vol.3 (5), p.e002798</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions 2013 This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b472t-e2fb2d44b3126f61936a9a93ca5413c3749f9058769b878a94d45914b08990953</citedby><cites>FETCH-LOGICAL-b472t-e2fb2d44b3126f61936a9a93ca5413c3749f9058769b878a94d45914b08990953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://bmjopen.bmj.com/content/3/5/e002798.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttp://bmjopen.bmj.com/content/3/5/e002798.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27549,27550,27924,27925,53791,53793,77601,77632</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23793699$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sidovar, Matthew F</creatorcontrib><creatorcontrib>Limone, Brendan L</creatorcontrib><creatorcontrib>Lee, Soyon</creatorcontrib><creatorcontrib>Coleman, Craig I</creatorcontrib><title>Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><description>Objective To map the 12-item Multiple Sclerosis Walking Scale (MSWS-12) onto the EuroQol 5-dimension (EQ-5D) health-utility index in multiple sclerosis (MS) patients participating in the North American Research Committee on Multiple Sclerosis (NARCOMS) registry. Design Cross-sectional MSWS-12 to EQ-5D cross-walking analysis. Setting NARCOMS registry spring 2010 biannual update and supplemental survey. Participants North American patients completing both the MSWS-12 and the EQ-5D randomly split into derivation and validation cohorts. Outcome measures Ordinary least squares regression was performed within the derivation cohort, with participants’ EQ-5D as the dependent variable. Results of the MSWS-12 were input as independent variable(s) into six regression models. Model goodness-of-fit was subsequently assessed in the validation cohort using the mean absolute error (MAE), root mean square error (RMSE) and the adjusted R2. The best performing model was refined in the entire cohort and utilised for additional analyses. Results A total of 3505 NARCOMS participants were included. Their mean±SD EQ-5D and MSWS-12 scores were 0.74±0.18 and 50.8±33.5, respectively, and these assessments were found to be moderately correlated (r=–0.553, p<0.001). The model using all individual MSWS-12 item scores as independent variables was found to have the best fit (MAE=0.109±0.096, RMSE=0.145, adjusted R2=0.329). The percentage of EQ-5D estimates within 0.05 and 0.10 of the actual value were 30% and 61%, respectively. This mapping equation was more precise in patients with moderate mobility impairment (MAE=0.087±0.061 at patient-determined disease step (PDDS) of 3–6) and less precise in patients with no (MAE=0.141±0.128 at PDDS of 0–2) or severe mobility impairment (MAE=0.121±0.049 at PDDS ≥7). Conclusions The EQ-5D scores can be predicted using the MSWS-12 item scores with reasonable precision in North American patients with MS. Prediction estimates were more precise in patients with moderate mobility impairment.</description><subject>Cost analysis</subject><subject>Multiple sclerosis</subject><subject>Neurology</subject><subject>Patients</subject><subject>Population</subject><subject>Questionnaires</subject><subject>Walking</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkdtqFTEYhYMottQ-gSABb7yZmnMmN0Ip9QBVEfQ6ZGYy3dnmMCaZqs_gS5vt3pYqXpibnL5_5V9ZADzG6AxjKp4PYZsWGzuCMO0QIlL198AxQYx1AnF-_876CJyWskVtMK44Jw_BEaFSUaHUMfjx1iyLi9ewbizEpHPVBhhWX93iLSyjtzkVV-BX4z_vsDKadl7TL_5yzelD8pB3kws2FpcidHGy32CwpqzZth18l3LdwPNgsxtN_Jf2YqqzsZZH4MFsfLGnh_kEfHp5-fHidXf1_tWbi_OrbmCS1M6SeSATYwPFRMwCNydGGUVHwxmmI5VMzQrxXgo19LI3ik3NOGYD6pVCitMT8GKvu6xDsNPY3s7G6yW7YPJ3nYzTf95Et9HX6UZTIRhlqgk8Owjk9GW1pergymi9N9GmtWhMZWtN8h439Olf6DatOTZ7GsuecqmkoI2ie2psP1KynW-bwUjv8taHvPUub73Pu1U9uevjtuZ3ug042wOt-r8UfwLqUrgu</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Sidovar, Matthew F</creator><creator>Limone, Brendan L</creator><creator>Lee, Soyon</creator><creator>Coleman, Craig I</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20130101</creationdate><title>Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients</title><author>Sidovar, Matthew F ; Limone, Brendan L ; Lee, Soyon ; Coleman, Craig I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b472t-e2fb2d44b3126f61936a9a93ca5413c3749f9058769b878a94d45914b08990953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Cost analysis</topic><topic>Multiple sclerosis</topic><topic>Neurology</topic><topic>Patients</topic><topic>Population</topic><topic>Questionnaires</topic><topic>Walking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sidovar, Matthew F</creatorcontrib><creatorcontrib>Limone, Brendan L</creatorcontrib><creatorcontrib>Lee, Soyon</creatorcontrib><creatorcontrib>Coleman, Craig I</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sidovar, Matthew F</au><au>Limone, Brendan L</au><au>Lee, Soyon</au><au>Coleman, Craig I</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients</atitle><jtitle>BMJ open</jtitle><addtitle>BMJ Open</addtitle><date>2013-01-01</date><risdate>2013</risdate><volume>3</volume><issue>5</issue><spage>e002798</spage><pages>e002798-</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>Objective To map the 12-item Multiple Sclerosis Walking Scale (MSWS-12) onto the EuroQol 5-dimension (EQ-5D) health-utility index in multiple sclerosis (MS) patients participating in the North American Research Committee on Multiple Sclerosis (NARCOMS) registry. Design Cross-sectional MSWS-12 to EQ-5D cross-walking analysis. Setting NARCOMS registry spring 2010 biannual update and supplemental survey. Participants North American patients completing both the MSWS-12 and the EQ-5D randomly split into derivation and validation cohorts. Outcome measures Ordinary least squares regression was performed within the derivation cohort, with participants’ EQ-5D as the dependent variable. Results of the MSWS-12 were input as independent variable(s) into six regression models. Model goodness-of-fit was subsequently assessed in the validation cohort using the mean absolute error (MAE), root mean square error (RMSE) and the adjusted R2. The best performing model was refined in the entire cohort and utilised for additional analyses. Results A total of 3505 NARCOMS participants were included. Their mean±SD EQ-5D and MSWS-12 scores were 0.74±0.18 and 50.8±33.5, respectively, and these assessments were found to be moderately correlated (r=–0.553, p<0.001). The model using all individual MSWS-12 item scores as independent variables was found to have the best fit (MAE=0.109±0.096, RMSE=0.145, adjusted R2=0.329). The percentage of EQ-5D estimates within 0.05 and 0.10 of the actual value were 30% and 61%, respectively. This mapping equation was more precise in patients with moderate mobility impairment (MAE=0.087±0.061 at patient-determined disease step (PDDS) of 3–6) and less precise in patients with no (MAE=0.141±0.128 at PDDS of 0–2) or severe mobility impairment (MAE=0.121±0.049 at PDDS ≥7). Conclusions The EQ-5D scores can be predicted using the MSWS-12 item scores with reasonable precision in North American patients with MS. Prediction estimates were more precise in patients with moderate mobility impairment.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>23793699</pmid><doi>10.1136/bmjopen-2013-002798</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Cost analysis Multiple sclerosis Neurology Patients Population Questionnaires Walking |
| title | Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients |
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