• Login
    View Item 
    •   UMB Digital Archive
    • UMB Open Access Articles
    • UMB Open Access Articles 2019
    • View Item
    •   UMB Digital Archive
    • UMB Open Access Articles
    • UMB Open Access Articles 2019
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UMB Digital ArchiveCommunitiesPublication DateAuthorsTitlesSubjectsThis CollectionPublication DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    Display statistics

    Validation of an algorithm for identifying MS cases in administrative health claims datasets

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Author
    Culpepper, W.J.
    Marrie, R.A.
    Langer-Gould, A.
    Date
    2019
    Journal
    Neurology
    Publisher
    Lippincott Williams and Wilkins
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.1212/WNL.0000000000007043
    Abstract
    Objective: To develop a valid algorithm for identifying multiple sclerosis (MS) cases in administrative health claims (AHC) datasets. Methods: We used 4 AHC datasets from the Veterans Administration (VA), Kaiser Permanente Southern California (KPSC), Manitoba (Canada), and Saskatchewan (Canada). In the VA, KPSC, and Manitoba, we tested the performance of candidate algorithms based on inpatient, outpatient, and disease-modifying therapy (DMT) claims compared to medical records review using sensitivity, specificity, positive and negative predictive values, and interrater reliability (Youden J statistic) both overall and stratified by sex and age. In Saskatchewan, we tested the algorithms in a cohort randomly selected from the general population. Results: The preferred algorithm required ≥3 MS-related claims from any combination of inpatient, outpatient, or DMT claims within a 1-year time period; a 2-year time period provided little gain in performance. Algorithms including DMT claims performed better than those that did not. Sensitivity (86.6%–96.0%), specificity (66.7%–99.0%), positive predictive value (95.4%–99.0%), and interrater reliability (Youden J = 0.60–0.92) were generally stable across datasets and across strata. Some variation in performance in the stratified analyses was observed but largely reflected changes in the composition of the strata. In Saskatchewan, the preferred algorithm had a sensitivity of 96%, specificity of 99%, positive predictive value of 99%, and negative predictive value of 96%. Conclusions: The performance of each algorithm was remarkably consistent across datasets. The preferred algorithm required ≥3 MS-related claims from any combination of inpatient, outpatient, or DMT use within 1 year. We recommend this algorithm as the standard AHC case definition for MS.
    Keyword
    Algorithms
    Administrative Claims, Healthcare
    Multiple Sclerosis
    Identifier to cite or link to this item
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062393622&doi=10.1212%2fWNL.0000000000007043&partnerID=40&md5=93eaa969db43545ee5716b84181b28c4; http://hdl.handle.net/10713/10816
    ae974a485f413a2113503eed53cd6c53
    10.1212/WNL.0000000000007043
    Scopus Count
    Collections
    UMB Open Access Articles 2019

    entitlement

    Related articles

    • Validation of an algorithm to detect severe MS relapses in administrative health databases.
    • Authors: Marriott JJ, Chen H, Fransoo R, Marrie RA
    • Issue date: 2018 Jan
    • The prevalence of MS in the United States: A population-based estimate using health claims data.
    • Authors: Wallin MT, Culpepper WJ, Campbell JD, Nelson LM, Langer-Gould A, Marrie RA, Cutter GR, Kaye WE, Wagner L, Tremlett H, Buka SL, Dilokthornsakul P, Topol B, Chen LH, LaRocca NG, US Multiple Sclerosis Prevalence Workgroup.
    • Issue date: 2019 Mar 5
    • Association between disease-modifying therapies for multiple sclerosis and healthcare utilisation on a population level: a retrospective cohort study.
    • Authors: Al-Sakran L, Marrie RA, Blackburn D, Knox K, Evans C
    • Issue date: 2019 Nov 25
    • The rising prevalence and changing age distribution of multiple sclerosis in Manitoba.
    • Authors: Marrie RA, Yu N, Blanchard J, Leung S, Elliott L
    • Issue date: 2010 Feb 9
    • Establishing the Incidence and Prevalence of Multiple Sclerosis in Saskatchewan.
    • Authors: Al-Sakran LH, Marrie RA, Blackburn DF, Knox KB, Evans CD
    • Issue date: 2018 May
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Policies | Contact Us | UMB Health Sciences & Human Services Library
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.