CODING OF MULTIPLE SCLEROSIS SUBTYPES IN GERMAN ADMINISTRATIVE CLAIMS DATA: A VALIDATION STUDY USING THE MSDS-AOK PLUS LINKED DATABASE

被引:0
|
作者
Zhuleku, E. [1 ]
Ziemssen, T. [2 ]
Dillenseger, A. [2 ]
Maywald, U. [3 ]
Wilke, T. [4 ]
Ghiani, M. [4 ]
机构
[1] Cytel, Berlin, BE, Germany
[2] Tech Univ Dresden, Univ Klinikum Carl Gustav Carus, Klin Poliklin Neurol, Zentrum Klin Neurowissensch, Dresden, Germany
[3] AOK PLUS, Dresden, Germany
[4] Univ Wismar, IPAM, Wismar, Germany
关键词
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
RWD58
引用
收藏
页码:S459 / S459
页数:1
相关论文
共 50 条
  • [21] Serious infections in patients with relapsing and progressive forms of multiple sclerosis: A German claims data study
    Knapp, Rachel
    Hardtstock, France
    Krieger, Julia
    Wilke, Thomas
    Maywald, Ulf
    Chognot, Cathy
    Muros-Le Rouzic, Erwan
    Craveiro, Licinio
    MULTIPLE SCLEROSIS AND RELATED DISORDERS, 2022, 68
  • [22] Validation of the Inhospital Mortality for Pulmonary Embolism Using Claims Data (IMPACT) Prediction Rule within an All-Payer Inpatient Administrative Claims Database
    Coleman, Craig I.
    Kohn, Christine G.
    Crivera, Concetta
    Schein, Jeff
    Peacock, W. Frank
    BLOOD, 2015, 126 (23)
  • [23] Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary
    Stephen P. Fortin
    Jenna Reps
    Patrick Ryan
    BMC Medical Informatics and Decision Making, 23
  • [24] Identifying Relapses in Multiple Sclerosis Patients through Administrative Data: A Validation Study in the Lazio Region, Italy
    Colais, Paola
    Agabiti, Nera
    Davoli, Marina
    Buttari, Fabio
    Centonze, Diego
    De Fino, Chiara
    Di Folco, Marta
    Filippini, Graziella
    Francia, Ada
    Galgani, Simonetta
    Gasperini, Claudio
    Giuliani, Manuela
    Mirabella, Massimiliano
    Nociti, Viviana
    Pozzilli, Carlo
    Bargagli, Anna Maria
    NEUROEPIDEMIOLOGY, 2017, 48 (3-4) : 171 - 178
  • [25] Assessing Presence of MS-related Symptoms as a Proxy for Disease Severity in Multiple Sclerosis Using Administrative Claims Data
    Hendin, Barry
    Brook, Richard
    Beren, Ian
    Kleinman, Nathan
    Phillips, Amy
    Lobo, Carroline
    NEUROLOGY, 2021, 96 (15)
  • [26] The burden of multiple myeloma: assessment on occurrence, outcomes and cost using a retrospective longitudinal study based on administrative claims database
    de Portu, Simona
    Fanin, Renato
    Patriarca, Francesca
    Morsanutto, Andrea
    Tosolini, Francesca
    Esti, Renato
    Mantovani, Lorenzo G.
    EPIDEMIOLOGY BIOSTATISTICS AND PUBLIC HEALTH, 2011, 8 (04): : 325 - 330
  • [27] THE BURDEN OF MULTIPLE MYELOMA: ASSESSMENT ON OCCURRENCE, OUTCOMES AND COST USING A RETROSPECTIVE LONGITUDINAL STUDY BASED ON ADMINISTRATIVE CLAIMS DATABASE
    de Portu, S.
    Fanin, R.
    Patriarca, F.
    Morsanutto, A.
    Tosolini, F.
    Esti, R.
    Mantovani, L. G.
    VALUE IN HEALTH, 2009, 12 (07) : A262 - A262
  • [28] Comparing prescribing and dispensing databases to study antibiotic use: a validation study of the Electronic Medical Record Administrative data Linked Database (EMRALD)
    Schwartz, Kevin L.
    Wilton, Andrew S.
    Langford, Bradley J.
    Brown, Kevin A.
    Daneman, Nick
    Garber, Gary
    Johnstone, Jennie
    Adomako, Kwaku
    Achonu, Camille
    Tu, Karen
    JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 2019, 74 (07) : 2091 - 2097
  • [29] A REAL-WORLD ASSESSMENT OF ANNUAL MULTIPLE SCLEROSIS PREVALENCE AND DISEASE-MODIFYING DRUG TREATMENT RATES USING AN ADMINISTRATIVE CLAIMS DATABASE
    Phillips, A. L.
    Munsell, M. J.
    Menzin, J.
    Dangond, F.
    Locklear, J. C.
    VALUE IN HEALTH, 2014, 17 (07) : A392 - A392
  • [30] Validation of the multivariable In-hospital Mortality for PulmonAry embolism using Claims daTa (IMPACT) prediction rule within an all-payer inpatient administrative claims database
    Coleman, Craig I.
    Kohn, Christine G.
    Crivera, Concetta
    Schein, Jeffrey R.
    Peacock, W. Frank
    BMJ OPEN, 2015, 5 (10):