| Ascertainment of warfarin and aspirin use by medical record review compared with automated pharmacy data. | |
| | |
MedLine Citation:
|
PMID: 21351314 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
PURPOSE: Automated pharmacy databases are increasingly available for assessing medication use, but research on the validity of these data is incomplete. This study aimed to measure agreement on warfarin and aspirin use between medical records and automated pharmacy data among patients with newly detected atrial fibrillation (AF). METHODS: Patients with newly detected AF (n = 1953) were previously identified in a cohort study at Group Health (GH) in Washington State. Medical records were reviewed for information on risk factors and medication use, as well as clinical care during the 6 months after AF onset. Medication data were also obtained from the GH pharmacy database. We determined the sensitivity, specificity, and positive predictive value (PPV) as measures of the validity of the GH pharmacy database as compared with medical records for warfarin and aspirin use during the first 6 and 3 months after AF onset. We also calculated the κ statistic. RESULTS: For warfarin use, in comparison with the medical record review, the sensitivity, specificity, and PPV for the GH pharmacy database were excellent, and agreement was almost perfect in the 3- and 6-month periods after AF onset (κ = 0.92 and 0.93, respectively). For aspirin use, the GH pharmacy database had low sensitivity but high specificity, and agreement was only fair for these two periods (κ = 0.28 and 0.31, respectively). CONCLUSIONS: The GH pharmacy database is a valuable source of data for pharmacoepidemiologic research on warfarin use among patients with AF. However, the database cannot be recommended for assessment of aspirin use. Copyright © 2010 John Wiley & Sons, Ltd. |
| | |
Authors:
|
Renu K Garg; Nicole L Glazer; Kerri L Wiggins; Katherine M Newton; Evan L Thacker; Nicholas L Smith; David S Siscovick; Bruce M Psaty; Susan R Heckbert |
Related Documents
:
|
11713124 - Relationship between asthma medication and antibiotic use. 3235714 - Time accounting in community medicine education. |
Publication Detail:
|
Type: Comparative Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. Date: 2010-12-23 |
Journal Detail:
|
Title: Pharmacoepidemiology and drug safety Volume: 20 ISSN: 1099-1557 ISO Abbreviation: Pharmacoepidemiol Drug Saf Publication Date: 2011 Mar |
Date Detail:
|
Created Date: 2011-02-25 Completed Date: 2011-06-24 Revised Date: 2012-03-20 |
Medline Journal Info:
|
Nlm Unique ID: 9208369 Medline TA: Pharmacoepidemiol Drug Saf Country: England |
Other Details:
|
Languages: eng Pagination: 313-6 Citation Subset: IM |
Copyright Information:
|
Copyright © 2010 John Wiley & Sons, Ltd. |
Affiliation:
|
Department of Epidemiology, University of Washington, Seattle, WA 98101-1448, USA. rkgarg@u.washington.edu |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Aged Aspirin / administration & dosage*, therapeutic use Atrial Fibrillation / drug therapy, epidemiology Cohort Studies Community Pharmacy Services / statistics & numerical data* Databases, Factual / statistics & numerical data* Drug Utilization Review / statistics & numerical data* Female Humans Male Medical Records / statistics & numerical data Medical Records Systems, Computerized / statistics & numerical data* Reproducibility of Results Sensitivity and Specificity Warfarin / administration & dosage*, therapeutic use Washington |
| Grant Support | |
ID/Acronym/Agency:
|
R01 HL068986/HL/NHLBI NIH HHS; R01 HL068986-06/HL/NHLBI NIH HHS; T32 HL007902/HL/NHLBI NIH HHS; T32 HL007902-12/HL/NHLBI NIH HHS |
| Chemical | |
Reg. No./Substance:
|
50-78-2/Aspirin; 81-81-2/Warfarin |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Role of key informants and direct patient interviews in epidemiological studies of substance abuse.
Next Document: The role of the c-statistic in variable selection for propensity score models.