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An audit of a random selection of 76 IRCMACs prepared during this study revealed a medication discrepancy rate of 9/870 (1.0%).
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Medication profiles and discrepancy rates may be different in other parts of the world and where other features are incorporated into the tools (e.g. reconciliation).
However, even at this early stage of development, automated medication discrepancy detection shows a promising outcome in assisting medication reconciliation.
There was very good agreement among evaluators in judging the potential clinical effect of medication discrepancy.
Greater than 50% chance that the medication discrepancy identified had potential to harm patient.
As previously published, the discrepancy rate is approximately 20 30 % [ 29].
Employing a standardized Medication Discrepancy Tool [ 35] will also ensure consistency among the data.
Several studies have reported the prevalence of the medication discrepancy problem in adult patients [ 1- 3].
The proposed medication discrepancy detection algorithm is diagramed in Figure 2.
The degree of effect for each medication discrepancy was defined as follows.
Multivariate logistic regression analysis was used to investigate predictors of at least 1 medication discrepancy.
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