• Am J Emerg Med · Jan 2020

    Accuracy of patient self-administered medication history forms in the emergency department.

    • Angela Wai, Martina Salib, Sohileh Aran, James Edwards, and Asad E Patanwala.
    • Department of Pharmacy, Royal Prince Alfred Hospital, Level 5, Building 65, Missenden Road, Camperdown, 2050, Australia. Electronic address: Angela.Wai@health.nsw.gov.au.
    • Am J Emerg Med. 2020 Jan 1; 38 (1): 50-54.

    ObjectivesThe primary objective of this study was to determine the proportion of patients with medication discrepancies when using a self-administered medication history form in the emergency department (ED). The secondary objectives were to identify predictors of medication discrepancies and determine the proportion of patients with a high-risk medication discrepancy.MethodsThis was a cross-sectional study conducted in an urban ED in Australia. Patients completed a self-administered medication history form while waiting to be seen by a physician. Subsequently, a best possible medication history was taken by a pharmacist to determine accuracy of the self-reported medication lists for patients with planned admissions. Discrepancies between the two medication lists were reported descriptively. A Poisson regression analysis was conducted to identify predictors of the rate of discrepancies. Associations were reported as incident rate ratios (IRR).ResultsA total of 138 patients were included in the study. The total number of discrepancies was as follows: 0 (25%, n = 34), 1 (34%, n = 47), 2 (11%, n = 15), and ≥3 (30%, n = 42). The number of medications (IRR 1.11, 95% CI 1.09 to 1.14, p < 0.001), female (IRR 1.51, 95% CI 1.18 to 1.92, p = 0.001), and missing community pharmacy information (IRR 2.10, 95% CI 1.64 to 2.68, p < 0.001) were significantly associated with rate of discrepancies. Overall, 20% (n = 28) of patients had one or more high-risk medication discrepancies.ConclusionPatient self-administered medication history forms have a high rate of discrepancies and should be verified by a best possible medication history.Copyright © 2019 Elsevier Inc. All rights reserved.

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