| Correspondence between general practitionerreported medication use and timing of prescription dispensation. | |
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MedLine Citation:
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PMID: 22291479 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Epidemiologic studies often rely on drug dispensation records to measure medication intake. We aimed to estimate correspondence between general practitioner (GP)-reported treatment and timing of prescription dispensation. From seven GPs in northern Denmark, we obtained 317 prescription records for 286 patients treated with ten commonly prescribed medication types for chronic diseases. We linked the GP-reported information to the regional prescription database to retrieve patients' prescription records both prospectively and retrospectively in relation to the GP-reported date of treatment (index date, August 20, 2008 for all patients). We computed overall and medication-specific correspondence between GP-reported treatment and the timing of dispensation. We computed correspondence based on both exact medication and therapeutic subgroup agreement. The correspondence for dispensation within ±90 days of GP-reported treatment was 0.81 (95% confidence interval = 0.76-0.85) with variation by medication type, ranging from 0.55 for ACE-inhibitors to 1.00 for oral glucose-lowering agents. The correspondence was greater when analyzed within therapeutic groups than when analyzed for exact medications within these groups. |
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Authors:
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Sigrun Alba Johannesdottir; Merete Lund Mægbæk; Jens Georg Hansen; Timothy L Lash; Lars Pedersen; Vera Ehrenstein |
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Publication Detail:
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Type: Journal Article Date: 2012-01-05 |
Journal Detail:
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Title: Clinical epidemiology Volume: 4 ISSN: 1179-1349 ISO Abbreviation: Clin Epidemiol Publication Date: 2012 |
Date Detail:
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Created Date: 2012-01-31 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101531700 Medline TA: Clin Epidemiol Country: New Zealand |
Other Details:
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Languages: eng Pagination: 13-8 Citation Subset: - |
Affiliation:
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Department of Clinical Epidemiology, Institute of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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