2012
DOI: 10.1159/000343188
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The Utility of Administrative Data for Surveillance of Comorbidity in Multiple Sclerosis: A Validation Study

Abstract: Background: Although comorbidity is important in multiple sclerosis (MS), few validated methods for its assessment exist. We validated and applied administrative case definitions for several comorbidities in MS. Methods: Using provincial administrative data we identified persons with MS and a matched general population cohort. Case definitions for chronic lung disease (CLD), epilepsy, inflammatory bowel disease (IBD), irritable bowel syndrome (IBS) and migraine were developed using administrative data, and val… Show more

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Cited by 65 publications
(95 citation statements)
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“…We limited our selection of physical conditions to those with a validated algorithm that could identify them from administrative data (Marrie et al. 2012, 2013a,b,c). Validated algorithms (Marrie et al.…”
Section: Methodsmentioning
confidence: 99%
“…We limited our selection of physical conditions to those with a validated algorithm that could identify them from administrative data (Marrie et al. 2012, 2013a,b,c). Validated algorithms (Marrie et al.…”
Section: Methodsmentioning
confidence: 99%
“…We selected comorbidities for study based on our prior work indicating they were associated with other outcomes in MS or affected at least 5% of the MS population, 3,4,20 or were important causes of hospitalization in the general population, 21 and could be accurately identified using administrative case definitions. [22][23][24][25][26] The comorbidities included hypertension, diabetes, hyperlipidemia, ischemic heart disease, chronic lung disease, fibromyalgia, autoimmune thyroid disease, migraine, depression, anxiety, and bipolar disorder. We applied validated administrative case definitions based on hospital, physician, and prescription claims for these comorbidities to the MS and matched populations.…”
Section: Standard Protocol Approvals Registrations and Patient Consmentioning
confidence: 99%
“…We applied validated administrative case definitions based on hospital, physician, and prescription claims for these comorbidities to the MS and matched populations. [22][23][24][25][26] Analysis. To identify possible excess hospital utilization in the MS population, we compared all-cause hospitalization rates between the MS and matched populations without adjusting for comorbidities using Poisson regression with generalized estimating equations with an exchangeable correlation to account for repeated hospitalizations by individuals.…”
Section: Standard Protocol Approvals Registrations and Patient Consmentioning
confidence: 99%
“…4 Second, the diagnostic reliability of our ICD-9 algorithms may differ between the VA and HRS-Medicare settings. 32,33 Reassuringly, the primary limitation of these definitions is imperfect sensitivity as opposed to limited specificity. 33 As VA coding practices also tend toward lower sensitivity, 17 this means it is possible that we have understated the difference in neuroimaging utilization between VA and Medicare settings.…”
mentioning
confidence: 99%