View in EDS HTML Full Text PDF Full Text

Development and validation of an electronic Symbol‐Digit Modalities Test for remote monitoring of people with multiple sclerosis.

Saved in:
Bibliographic Details
Title: Development and validation of an electronic Symbol‐Digit Modalities Test for remote monitoring of people with multiple sclerosis.
Authors: Dini, Michelangelo (AUTHOR), Gamberini, Giulia (AUTHOR), Tacchini, Marta (AUTHOR), Boschetti, Angela (AUTHOR), Gradassi, Alessandro (AUTHOR), Chiveri, Luca (AUTHOR), Rodegher, Mariaemma (AUTHOR), Comi, Giancarlo (AUTHOR), Leocani, Letizia (AUTHOR)
Source: European Journal of Neurology. Jan2025, Vol. 32 Issue 1, p1-10. 10p.
Subjects: Multiple sclerosis, Psychometrics, Telemedicine, Statistical reliability, Test validity, Cognitive testing
Abstract: Background: Computerized cognitive tests may extend the reach of cognitive screening and monitoring to those with mobility issues or living in remote areas. Moreover, it could enable frequent and autonomous remote cognitive assessments in people with multiple sclerosis (pwMS) on account of its reduced economic and organizational costs. This may further improve our understanding of longitudinal trends and significantly improve the standard of care for pwMS living in remote areas or with mobility limitations. We aimed to evaluate the psychometric properties of an electronic Symbol‐Digit Modalities Test (eSDMT) designed to allow pwMS to perform a rapid cognitive assessment independently from home using their own PC/laptop. Methods: Sixty‐two participants underwent a neuropsychological evaluation, and then performed the eSDMT in the clinic. Forty‐two participants also repeated the eSDMT at home. We assessed concurrent validity (eSDMT vs. oral SDMT), test–retest reliability (in the clinic vs. at home), discriminant validity (pwMS with/without cognitive impairment), and other psychometric characteristics of the eSDMT (effect of age, sex, and education on test scores). Results: We observed good‐to‐excellent concurrent validity (r ≥ 0.84, all p < 0.0001) and test–retest reliability (intraclass correlation coefficients [ICCs]>0.87, all p < 0.0001). Discriminant validity was excellent (area under the curves [AUCs] >0.84, all p < 0.0001). eSDMT scores were only slightly influenced by demographic characteristics (all R2 < 0.200). Conclusions: We provided evidence which supports the use of our eSDMT as a feasible, valid, and reliable remote assessment of cognitive function in pwMS. Future studies will investigate long‐term reliability and predictive power. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 184016496
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Development and validation of an electronic Symbol‐Digit Modalities Test for remote monitoring of people with multiple sclerosis.
– Name: Author
  Label: Authors
  Group: Au
  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Dini%2C+Michelangelo%22&quot;&gt;Dini, Michelangelo&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Gamberini%2C+Giulia%22&quot;&gt;Gamberini, Giulia&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Tacchini%2C+Marta%22&quot;&gt;Tacchini, Marta&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Boschetti%2C+Angela%22&quot;&gt;Boschetti, Angela&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Gradassi%2C+Alessandro%22&quot;&gt;Gradassi, Alessandro&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Chiveri%2C+Luca%22&quot;&gt;Chiveri, Luca&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Rodegher%2C+Mariaemma%22&quot;&gt;Rodegher, Mariaemma&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Comi%2C+Giancarlo%22&quot;&gt;Comi, Giancarlo&lt;/searchLink&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Leocani%2C+Letizia%22&quot;&gt;Leocani, Letizia&lt;/searchLink&gt; (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22European+Journal+of+Neurology%22&quot;&gt;European Journal of Neurology&lt;/searchLink&gt;. Jan2025, Vol. 32 Issue 1, p1-10. 10p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Multiple+sclerosis%22&quot;&gt;Multiple sclerosis&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Psychometrics%22&quot;&gt;Psychometrics&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Telemedicine%22&quot;&gt;Telemedicine&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Statistical+reliability%22&quot;&gt;Statistical reliability&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Test+validity%22&quot;&gt;Test validity&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Cognitive+testing%22&quot;&gt;Cognitive testing&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Computerized cognitive tests may extend the reach of cognitive screening and monitoring to those with mobility issues or living in remote areas. Moreover, it could enable frequent and autonomous remote cognitive assessments in people with multiple sclerosis (pwMS) on account of its reduced economic and organizational costs. This may further improve our understanding of longitudinal trends and significantly improve the standard of care for pwMS living in remote areas or with mobility limitations. We aimed to evaluate the psychometric properties of an electronic Symbol‐Digit Modalities Test (eSDMT) designed to allow pwMS to perform a rapid cognitive assessment independently from home using their own PC/laptop. Methods: Sixty‐two participants underwent a neuropsychological evaluation, and then performed the eSDMT in the clinic. Forty‐two participants also repeated the eSDMT at home. We assessed concurrent validity (eSDMT vs. oral SDMT), test–retest reliability (in the clinic vs. at home), discriminant validity (pwMS with/without cognitive impairment), and other psychometric characteristics of the eSDMT (effect of age, sex, and education on test scores). Results: We observed good‐to‐excellent concurrent validity (r ≥ 0.84, all p &lt; 0.0001) and test–retest reliability (intraclass correlation coefficients [ICCs]&gt;0.87, all p &lt; 0.0001). Discriminant validity was excellent (area under the curves [AUCs] &gt;0.84, all p &lt; 0.0001). eSDMT scores were only slightly influenced by demographic characteristics (all R2 &lt; 0.200). Conclusions: We provided evidence which supports the use of our eSDMT as a feasible, valid, and reliable remote assessment of cognitive function in pwMS. Future studies will investigate long‐term reliability and predictive power. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: &lt;i&gt;Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=184016496
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/ene.16454
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1
    Subjects:
      – SubjectFull: Multiple sclerosis
        Type: general
      – SubjectFull: Psychometrics
        Type: general
      – SubjectFull: Telemedicine
        Type: general
      – SubjectFull: Statistical reliability
        Type: general
      – SubjectFull: Test validity
        Type: general
      – SubjectFull: Cognitive testing
        Type: general
    Titles:
      – TitleFull: Development and validation of an electronic Symbol‐Digit Modalities Test for remote monitoring of people with multiple sclerosis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Dini, Michelangelo
      – PersonEntity:
          Name:
            NameFull: Gamberini, Giulia
      – PersonEntity:
          Name:
            NameFull: Tacchini, Marta
      – PersonEntity:
          Name:
            NameFull: Boschetti, Angela
      – PersonEntity:
          Name:
            NameFull: Gradassi, Alessandro
      – PersonEntity:
          Name:
            NameFull: Chiveri, Luca
      – PersonEntity:
          Name:
            NameFull: Rodegher, Mariaemma
      – PersonEntity:
          Name:
            NameFull: Comi, Giancarlo
      – PersonEntity:
          Name:
            NameFull: Leocani, Letizia
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 13515101
          Numbering:
            – Type: volume
              Value: 32
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: European Journal of Neurology
              Type: main
ResultId 1