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Mental comorbidity and multiple sclerosis: validating administrative data to support population-based surveillance Marrie, Ruth A; Fisk, John D; Yu, Bo N; Leung, Stella; Elliott, Lawrence; Caetano, Patricia; Warren, Sharon; Evans, Charity; Wolfson, Christina; Svenson, Lawrence W; Tremlett, Helen; Blanchard, James F; Patten, Scott B

Abstract

Background: While mental comorbidity is considered common in multiple sclerosis (MS), its impact is poorly defined; methods are needed to support studies of mental comorbidity. We validated and applied administrative case definitions for any mental comorbidities in MS. Methods: Using administrative health data we identified persons with MS and a matched general population cohort. Administrative case definitions for any mental comorbidity, any mood disorder, depression, anxiety, bipolar disorder and schizophrenia were developed and validated against medical records using a a kappa statistic (k). Using these definitions we estimated the prevalence of these comorbidities in the study populations. Results: Compared to medical records, administrative definitions showed moderate agreement for any mental comorbidity, mood disorders and depression (all k ≥ 0.49), fair agreement for anxiety (k = 0.23) and bipolar disorder (k = 0.30), and near perfect agreement for schizophrenia (k = 1.0). The age-standardized prevalence of all mental comorbidities was higher in the MS than in the general populations: depression (31.7% vs. 20.5%), anxiety (35.6% vs. 29.6%), and bipolar disorder (5.83% vs. 3.45%), except for schizophrenia (0.93% vs. 0.93%). Conclusions: Administrative data are a valid means of surveillance of mental comorbidity in MS. The prevalence of mental comorbidities, except schizophrenia, is increased in MS compared to the general population.

Item Metadata

Title
Mental comorbidity and multiple sclerosis: validating administrative data to support population-based surveillance
Creator
Marrie, Ruth A; Fisk, John D; Yu, Bo N; Leung, Stella; Elliott, Lawrence; Caetano, Patricia; Warren, Sharon; Evans, Charity; Wolfson, Christina; Svenson, Lawrence W; Tremlett, Helen; Blanchard, James F; Patten, Scott B
Publisher
BioMed Central
Date Issued
2013-02-06
Description
Background: While mental comorbidity is considered common in multiple sclerosis (MS), its impact is poorly defined; methods are needed to support studies of mental comorbidity. We validated and applied administrative case definitions for any mental comorbidities in MS. Methods: Using administrative health data we identified persons with MS and a matched general population cohort. Administrative case definitions for any mental comorbidity, any mood disorder, depression, anxiety, bipolar disorder and schizophrenia were developed and validated against medical records using a a kappa statistic (k). Using these definitions we estimated the prevalence of these comorbidities in the study populations. Results: Compared to medical records, administrative definitions showed moderate agreement for any mental comorbidity, mood disorders and depression (all k ≥ 0.49), fair agreement for anxiety (k = 0.23) and bipolar disorder (k = 0.30), and near perfect agreement for schizophrenia (k = 1.0). The age-standardized prevalence of all mental comorbidities was higher in the MS than in the general populations: depression (31.7% vs. 20.5%), anxiety (35.6% vs. 29.6%), and bipolar disorder (5.83% vs. 3.45%), except for schizophrenia (0.93% vs. 0.93%). Conclusions: Administrative data are a valid means of surveillance of mental comorbidity in MS. The prevalence of mental comorbidities, except schizophrenia, is increased in MS compared to the general population.
Subject
Multiple sclerosis; Administrative data; Validation; Prevalence; Depression; Anxiety; Bipolar disorder; Schizophrenia
Genre
Article
Type
Text
Language
eng
Date Available
2016-01-25
Provider
Vancouver : University of British Columbia Library
Rights
Attribution 4.0 International (CC BY 4.0)
DOI
10.14288/1.0223764
URI
http://hdl.handle.net/2429/56702
Affiliation
Medicine, Department of; Medicine, Faculty of; Non UBC
Citation
BMC Neurology. 2013 Feb 06;13(1):16
Publisher DOI
10.1186/1471-2377-13-16
Peer Review Status
Reviewed
Scholarly Level
Faculty
Copyright Holder
Marrie et al; licensee BioMed Central Ltd.
Rights URI
http://creativecommons.org/licenses/by/4.0/
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Attribution 4.0 International (CC BY 4.0)