Utility of an Algorithm to Increase the Accuracy of Medication History in an Obstetrical Setting.
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State: Public
Version: author
State: Public
Version: author
Serval ID
serval:BIB_A5136B4D227F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Utility of an Algorithm to Increase the Accuracy of Medication History in an Obstetrical Setting.
Journal
Plos One
ISSN
1932-6203 (Electronic)
ISSN-L
1932-6203
Publication state
Published
Issued date
2016
Peer-reviewed
Oui
Volume
11
Number
3
Pages
e0151205
Language
english
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<0.01).
CONCLUSION: Our algorithm-based method strongly enhanced the accuracy of the medication history in our obstetric population, without using substantial resources. Its implementation is an effective first step to the medication reconciliation process, which has been recognized as a very important component of patients' drug safety.
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<0.01).
CONCLUSION: Our algorithm-based method strongly enhanced the accuracy of the medication history in our obstetric population, without using substantial resources. Its implementation is an effective first step to the medication reconciliation process, which has been recognized as a very important component of patients' drug safety.
Pubmed
Web of science
Open Access
Yes
Create date
10/04/2016 13:43
Last modification date
17/09/2020 8:18