160590
Drug tracer estimates of Parkinson's disease prevalence in British Columbia (Canada): Validation of specificity
Monday, November 5, 2007: 2:35 PM
M. Anne Harris, MSc
,
School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
Stephen A. Marion, MD
,
Department of Health Care and Epidemiology, University of British Columbia, Vancouver, BC, Canada
Joseph K.C. Tsui, MD
,
Pacific Parkinson's Research Centre, Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
Kay Teschke, PhD
,
School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
Introduction: Drug tracer methodology employs prescription data to estimate disease prevalence. Estimates must be corrected for the proportion of patients without the disease who are on the drugs, and for the proportion of patients with the disease who are untreated. We present estimates of Parkinson's disease (PD) prevalence in British Columbia (Canada) and provide an empirical estimate of the specificity of the drug tracer method used. Methods: The British Columbia PharmaCare database was used to identify patients receiving anti-PD prescriptions from 1996 and 2002. A sample of these patients was screened for self-reported PD, later confirmed with clinical assessment. Patients reporting no-PD were asked about other chronic conditions. We compiled the reported chronic conditions, cross-referencing with drug use, to estimate the specificity of the gross anti-PD prescription categorization. These estimates were combined with published data to correct the initial estimates of PD prevalence. Results: Preliminary findings estimated prevalence to be between 100 and 150 per 100 000, after correction for specificity derived from a previous study in the 1980s. In the current validation, of a sample of approximately 1000 patients receiving anti-PD medication, approximately 25% of these patients reported no PD. Other conditions commonly reported with anti-PD drug use included restless leg syndrome (12% of anti-PD prescriptions), and pituitary conditions (4% of anti-PD prescriptions). Conclusions: A prescription database can be used to estimate disease prevalence with corrections applied as anti-PD treatments are also used for the treatment of conditions such as restless leg syndrome and pituitary conditions.
Learning Objectives: 1. Identify various approaches to estimating disease prevalence, especially as applied to Parkinsonism
2. Describe details of the specific application of this methodology using a prescription database
3. Articulate results of this application including statistical estimation techniques
4. Describe the expected weaknesses and advantages of drug tracer methods, especially for diseases of low prevalence
Keywords: Epidemiology, Prescription Drug Use Patterns
Presenting author's disclosure statement:Any relevant financial relationships? No Any institutionally-contracted trials related to this submission?
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.
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