Title |
Estimating annual prevalence of depression and anxiety disorder in multiple sclerosis using administrative data
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Published in |
BMC Research Notes, November 2017
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DOI | 10.1186/s13104-017-2958-1 |
Pubmed ID | |
Authors |
Ruth Ann Marrie, Randy Walld, James M. Bolton, Jitender Sareen, John R. Walker, Scott B. Patten, Alexander Singer, Lisa M. Lix, Carol A. Hitchon, Renée El-Gabalawy, Alan Katz, John D. Fisk, Charles N. Bernstein, For the CIHR Team in Defining the Burden and Managing the Effects of Psychiatric Comorbidity in Chronic Immunoinflammatory Disease |
Abstract |
Researchers have developed case definitions to estimate incidence and lifetime prevalence of depression and anxiety disorders in multiple sclerosis (MS) using administrative data. For policymakers however, the prevalence of a disease requiring ongoing treatment during a given period such as annual period prevalence may be more relevant for decision-making. We tested a case definition for annual period prevalence of depression and anxiety disorders in MS using administrative data. Using population-based administrative (health claims) data from Manitoba, Canada we identified 1922 persons with incident MS from 1989 to 2012, and 11,392 age, sex and geographically-matched controls from the general population. As compared to controls, MS patients had an elevated annual prevalence ratio of depression (1.77; 95% confidence interval [CI] 1.64, 1.91), and anxiety disorders (1.46; 95% CI 1.35, 1.58). The annual prevalence of depression in our matched cohort was similar to that observed in the 2012 Canadian Community Health Survey, although the annual prevalence of anxiety was slightly higher. Administrative data can be used to estimate the annual period prevalence of psychiatric disorders in MS. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 83 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 9 | 11% |
Student > Bachelor | 8 | 10% |
Student > Master | 7 | 8% |
Student > Ph. D. Student | 5 | 6% |
Student > Postgraduate | 5 | 6% |
Other | 19 | 23% |
Unknown | 30 | 36% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 13 | 16% |
Psychology | 12 | 14% |
Biochemistry, Genetics and Molecular Biology | 4 | 5% |
Neuroscience | 4 | 5% |
Nursing and Health Professions | 4 | 5% |
Other | 13 | 16% |
Unknown | 33 | 40% |