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

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

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

Suggested Citation

  • Aline Corbel & David Baud & Aziz Chaouch & Johnny Beney & Chantal Csajka & Alice Panchaud, 2016. "Utility of an Algorithm to Increase the Accuracy of Medication History in an Obstetrical Setting," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-9, March.
    • Handle: RePEc:plo:pone00:0151205
    DOI: 10.1371/journal.pone.0151205
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