Utility of an Algorithm to Increase the Accuracy of Medication History in an Obstetrical Setting

Aline Corbel, David Baud, Aziz Chaouch, Johnny Beney, Chantal Csajka and Alice Panchaud

PLOS ONE, 2016, vol. 11, issue 3, 1-9

Abstract: Background: In an obstetrical setting, inaccurate medication histories at hospital admission may result in failure to identify potentially harmful treatments for patients and/or their fetus(es). Methods: This prospective study was conducted to assess average concordance rates between (1) a medication list obtained with a one-page structured medication history algorithm developed for the obstetrical setting and (2) the medication list reported in medical records and obtained by open-ended questions based on standard procedures. Both lists were converted into concordance rate using a best possible medication history approach as the reference (information obtained by patients, prescribers and community pharmacists’ interviews). Results: The algorithm-based method obtained a higher average concordance rate than the standard method, with respectively 90.2% [CI95% 85.8–94.3] versus 24.6% [CI95%15.3–34.4] concordance rates (p

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0151205

DOI: 10.1371/journal.pone.0151205

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