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Impact of drug-drug interaction alerts on prescribing patterns in a teaching hospital
European Statement
Patient Safety and Quality Assurance
Author(s)
Joana Pinto, José Feio, Sebastião Silva, Francisco Machado, Ana Dinis, Margarida Abreu, João Peres, Mariana Guia
Why was it done?
Clinical decision support systems comprising information on DDI improve DDI risk detection, avoiding preventable patient harm. The resulting DDI alerts can change prescribers’ behaviour to benefit patient care. However, an excessive number of alerts can lead to alerts’ desensitisation by prescribers.
What was done?
We monitored the drug-drug interactions (DDI) alerts displayed in the prescription system through three subsequent homologous periods, occurring after the integration of a DDI database in the prescribing software system of a teaching hospital to assess its impact on the prescribing pattern.
How was it done?
We developed a DDI database – MedH® – to be integrated into the prescribing software system to support hard stop DDI alerts. only the higher clinical risk DDIs were included in this database in order to restrain the burden of alerts and warrant acceptance by health professionals.
Data of all inpatient hospital prescriptions over a 12-month period prior to MedH® implementation were extracted and intersected with MedH® DDI BD to identify the top 10 co-prescribed binomials at risk of severe DDI. The number of alerts for the same binomials was then monitored through three subsequent, post-implementation, homologous periods.
What has been achieved?
Considered the TOP10 observed in the pre-implementation period, the number of alerts for all binomials has consistently reduced over the three post-implementation periods analysed.
The integration of MedH® DDI BD into the prescribing system, resulted in changes in the prescribing pattern, translated by a decrease, between 67% and 100%, in the number of alerts for a sample of control risk binomials coinciding with the top 10 co-prescribed risk binomials observed in the pre-implementation period. These results reflect the good acceptance by the professionals and the didactic effect achieved by the exposure to alerts.
More importantly, these results are indicative of the effectiveness of the implementation of MedH® Alerts in reducing patient exposure to high-risk combinations of medicines, thus promoting patient safety.
What next?
It will be important to ensure that data from IDD alerts are rigorously analysed to recognise clinical situations in which the co-administration of risk binomials is justified, to ensure consistent application of recommended risk minimisation measures, and the availability of safer therapeutic alternatives whenever possible.