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    Date Issued2012 (1)2011 (1)Author
    Cavagnaro, Elizabeth (2)
    Forrow, Susan (2)Foy, Sarah (2)Goldberg, Robert J. (2)Gurwitz, Jerry H. (2)View MoreUMass Chan AffiliationDepartment of Medicine, Division of Geriatric Medicine (1)Department of Quantitative Health Sciences (1)Meyers Primary Care Institute (1)Document TypeJournal Article (1)Poster (1)KeywordBiostatistics (1)Cardiovascular Diseases (1)Health Services Research (1)Myocardial Infarction (1)Outcome and Process Assessment (Health Care) (1)View MoreJournalPharmacoepidemiology and drug safety (1)

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    Design for validation of acute myocardial infarction cases in Mini-Sentinel

    Cutrona, Sarah L.; Toh, Sengwee; Iyer, Aarthi; Foy, Sarah; Cavagnaro, Elizabeth; Forrow, Susan; Racoosin, Judith A.; Goldberg, Robert J.; Gurwitz, Jerry H. (Wiley, 2012-01-19)
    PURPOSE: To describe the acute myocardial infarction (AMI) validation project, a test case for health outcome validation within the US Food and Drug Administration-funded Mini-Sentinel pilot program. METHODS: The project consisted of four parts: (i) case identification-developing an algorithm based on the International Classification of Diseases, Ninth Revision, to identify hospitalized AMI patients within the Mini-Sentinel Distributed Database; (ii) chart retrieval-establishing procedures that ensured patient privacy (collection and transfer of minimum necessary amount of information, and redaction of direct identifiers to validate potential cases of AMI); (iii) abstraction and adjudication-trained nurse abstractors gathered key data using a standardized form with cardiologist adjudication; and (iv) calculation of the positive predictive value of the constructed algorithm. RESULTS: Key decision points included (i) breadth of the AMI algorithm, (ii) centralized versus distributed abstraction, and (iii) approaches to maintaining patient privacy and to obtaining charts for public health purposes. We used an algorithm limited to International Classification of Diseases, Ninth Revision, codes 410.x0-410.x1. Centralized data abstraction was performed because of the modest number of charts requested ( CONCLUSIONS: We have established a process to validate AMI within Mini-Sentinel, which may be used for other health outcomes. Challenges include the following: (i) ensuring that only minimum necessary data are transmitted by Data Partners for centralized chart review, (ii) establishing procedures to maintain data privacy while still allowing for timely access to medical charts, and (iii) securing access to charts for public health uses that do not require approval from an institutional review board while maintaining patient privacy.
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    Validation of Acute Myocardial Infarction (AMI) in the FDA’s Mini-Sentinel Distributed Database

    Cutrona, Sarah L; Toh, Darren; Iyer, Aarthi; Foy, Sarah; Cavagnaro, Elizabeth; Forrow, Susan; Goldberg, Robert J.; Gurwitz, Jerry H. (2011-05-20)
    The Food and Drug Administration’s (FDA) Mini-Sentinel is a pilot program that aims to conduct active surveillance to detect and refine safety signals that emerge for marketed medical products. The purpose of this Mini-Sentinel AMI Validation project was to: (a) develop and design an abstraction and adjudication process to use when full text medical record review is required to confirm a coded diagnosis; and (b) to test this approach by validating a code algorithm for acute myocardial infarction (AMI).
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